In 1966, two Brazilian men were found dead on Vintém Hill under bizarre circumstances that continue to perplex investigators and conspiracy theorists alike. Lying side by side, their bodies were discovered wearing matching lead masks—shields with no eyeholes—alongside cryptic notes. Were they victims of a cult ritual, a failed experiment, or something even more otherworldly? See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info .…
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Dissecting the Ocean of Data - Yin Warner - Making Better Decisions - Episode #47
Manage episode 470972569 series 3566389
内容由Ringmaster Conversational Marketing and Ryan Sullivan提供。所有播客内容（包括剧集、图形和播客描述）均由 Ringmaster Conversational Marketing and Ryan Sullivan 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。
We’re going all-in on a customer-centric mindset! Ryan welcomes Yin Warner, Senior Director and Head of Enterprise Data Management at First American to discuss a range of topics, including the balance between data accuracy and speed in the financial sector, risk management, the challenges of enterprise data management across different reporting pipelines, and the importance of data literacy and effective communication. Yin also discusses her curiosity-driven approach to problem-solving, her research interests outside of work, and the value of ongoing learning and networking.
Key Takeaways:
- Instill a Customer-Centric Mindset: Encourage your team to apply a customer-centric approach when using data for decision-making. Understanding customer behavior and needs helps break down silos and maximizes data value.
- Emphasize Business Context: Make sure your data initiatives are closely aligned with business objectives. Data should be used to drive business outcomes and solve real business problems.
- Start with Focused, Iterative Projects: Avoid trying to solve all data challenges at once. Start with focused projects that deliver tangible business value and build from there.
- Balance Decentralized and Centralized Data Functions: Depending on the organization’s size, consider whether to decentralize data analytics functions for greater agility and efficiency or keep it centralized for consistency.
- Manage External and Internal Data Reporting Needs: Understand that different stakeholders will require different types of reports and data contexts. Create systems that can handle both internal performance metrics and external regulatory reporting smoothly.
Quote of the Show:
- “ I believe data really is the footprints that we left behind through what we do, how we interact business-wide.” - Yin Warner
Links:
- LinkedIn: https://www.linkedin.com/in/yin-warner/
- Website: https://www.firstam.com/
Check out our SubStack! https://substack.com/@makingbetterdecisions1
Ways to Tune In:
- Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi
- Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505
- Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data
- Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586
- Transistor: https://www.makingbetterdecisions.live/episodes
- YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts
50集单集
分享Manage episode 470972569 series 3566389
内容由Ringmaster Conversational Marketing and Ryan Sullivan提供。所有播客内容（包括剧集、图形和播客描述）均由 Ringmaster Conversational Marketing and Ryan Sullivan 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。
We’re going all-in on a customer-centric mindset! Ryan welcomes Yin Warner, Senior Director and Head of Enterprise Data Management at First American to discuss a range of topics, including the balance between data accuracy and speed in the financial sector, risk management, the challenges of enterprise data management across different reporting pipelines, and the importance of data literacy and effective communication. Yin also discusses her curiosity-driven approach to problem-solving, her research interests outside of work, and the value of ongoing learning and networking.
Key Takeaways:
- Instill a Customer-Centric Mindset: Encourage your team to apply a customer-centric approach when using data for decision-making. Understanding customer behavior and needs helps break down silos and maximizes data value.
- Emphasize Business Context: Make sure your data initiatives are closely aligned with business objectives. Data should be used to drive business outcomes and solve real business problems.
- Start with Focused, Iterative Projects: Avoid trying to solve all data challenges at once. Start with focused projects that deliver tangible business value and build from there.
- Balance Decentralized and Centralized Data Functions: Depending on the organization’s size, consider whether to decentralize data analytics functions for greater agility and efficiency or keep it centralized for consistency.
- Manage External and Internal Data Reporting Needs: Understand that different stakeholders will require different types of reports and data contexts. Create systems that can handle both internal performance metrics and external regulatory reporting smoothly.
Quote of the Show:
- “ I believe data really is the footprints that we left behind through what we do, how we interact business-wide.” - Yin Warner
Links:
- LinkedIn: https://www.linkedin.com/in/yin-warner/
- Website: https://www.firstam.com/
Check out our SubStack! https://substack.com/@makingbetterdecisions1
Ways to Tune In:
- Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi
- Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505
- Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data
- Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586
- Transistor: https://www.makingbetterdecisions.live/episodes
- YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts
50集单集
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Making Better Decisions: Leaders in Data
“ The focus is on driving the business outcomes and the last mile delivery.” Ryan welcomes Parag Shrivastava, the Global Director and Head of the Data and Analytics Portfolio at Hewlett Packard Enterprise. With nearly 25 years of experience in the field, Parag discusses his journey ranging from electrical engineering to roles in major companies like Sama, Deloitte, and McKesson. They discuss the importance of turning raw data into actionable business outcomes, focusing on last-mile delivery, balancing data infrastructure, and the human element involved in data storytelling and adoption. Parag also touches on crucial aspects of change management and shares practical applications of traditional machine learning, LLMs, and AI in improving supply chains and optimizing healthcare systems. Key Takeaways: Focus on Business Outcomes and Last Mile Delivery: Ensure that data initiatives include clear plans for implementing and using insights to drive productivity and performance improvements. Balance Infrastructure with Actionable Insights: While keeping infrastructure robust and modern is crucial, the emphasis should be on actionable insights that directly benefit the end-users. Data Storytelling and Simplicity: Ensure the data insights are presented in a simple, consumable format. Dashboards and reports should be easy to understand and actionable to facilitate better decision-making. Implement Incremental Changes: Embrace an agile approach to data projects. Deliver value in incremental steps rather than trying to roll out everything at once. Change Management Across All Phases: Effectively manage change by involving users early in the ideation, execution, and operational phases. Use design thinking and continuous feedback loops to improve the adoption and usability of data initiatives. Quote of the Show: “ It's a data-driven decision. It's not based on emotions.” - Parag Shrivastava Links: LinkedIn: https://www.linkedin.com/in/pshr/ Website: https://www.hpe.com/us/en/home.html Check out our SubStack! https://substack.com/@makingbetterdecisions1 Ways to Tune In: Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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Making Better Decisions: Leaders in Data
1 Building Trust and Frameworks in AI - Catalina Herrera- Making Better Decisions - Episode # 48 44:51
“It’s not just about the cool shiny tool.” Today Ryan welcomes Catalina Herrera, Field Chief Data Officer at Dataiku. She discusses her extensive background in engineering and AI, emphasizing the importance of data governance, trust, and frameworks in achieving data-driven success. She explains that effective data use involves seamless organizational collaboration, clear roles, and responsibility. She touches on challenges faced by both large and small organizations in deriving value from data, highlighting the need for digitalized processes and AI literacy. The two also dive into the necessity of holistic frameworks for maintaining data integrity and avoiding negative outcomes in AI deployments. The episode highlights the essential balance between technical infrastructure and human factors in leveraging data for better business decisions. Key Takeaways: Foster AI Literacy: Ensure that your team and leadership are well-versed in AI and data concepts. This includes understanding the basics of machine learning, data governance, and how data-driven decisions can benefit the organization. Break Down Silos: Eliminate data and team silos to promote collaboration and integrated data pipelines. Enable Proactive Maintenance: Don’t just focus on the shiny new tools. Regularly maintain and update your data infrastructure. Ensure your systems are resilient and capable of delivering accurate insights over time. Measure and Communicate ROI: Regularly measure the ROI of your data initiatives and communicate these metrics clearly to stakeholders. This helps demonstrate the tangible benefits and justifies continued investment in data and analytics. Adopt a Framework for Data Integration: Use integrated frameworks to connect various data assets and analytics tools. This approach helps provide a holistic view of data and ensures that insights are generated within a consistent and controlled environment. Quote of the Show: “ Without trust, you don't have a group of people making better decisions, and that trust doesn't happen if you don't know that behind the scenes you have a framework.” - Catalina Herrera Links: LinkedIn: https://www.linkedin.com/in/herreracatalina/ Website: https://www.dataiku.com/ Paint by Numbers: https://thetasteofbalance.com/ Check out our SubStack! https://substack.com/@makingbetterdecisions1 Ways to Tune In: Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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Making Better Decisions: Leaders in Data
We’re going all-in on a customer-centric mindset! Ryan welcomes Yin Warner, Senior Director and Head of Enterprise Data Management at First American to discuss a range of topics, including the balance between data accuracy and speed in the financial sector, risk management, the challenges of enterprise data management across different reporting pipelines, and the importance of data literacy and effective communication. Yin also discusses her curiosity-driven approach to problem-solving, her research interests outside of work, and the value of ongoing learning and networking. Key Takeaways: Instill a Customer-Centric Mindset: Encourage your team to apply a customer-centric approach when using data for decision-making. Understanding customer behavior and needs helps break down silos and maximizes data value. Emphasize Business Context: Make sure your data initiatives are closely aligned with business objectives. Data should be used to drive business outcomes and solve real business problems. Start with Focused, Iterative Projects: Avoid trying to solve all data challenges at once. Start with focused projects that deliver tangible business value and build from there. Balance Decentralized and Centralized Data Functions: Depending on the organization’s size, consider whether to decentralize data analytics functions for greater agility and efficiency or keep it centralized for consistency. Manage External and Internal Data Reporting Needs: Understand that different stakeholders will require different types of reports and data contexts. Create systems that can handle both internal performance metrics and external regulatory reporting smoothly. Quote of the Show: “ I believe data really is the footprints that we left behind through what we do, how we interact business-wide.” - Yin Warner Links: LinkedIn: https://www.linkedin.com/in/yin-warner/ Website: https://www.firstam.com/ Check out our SubStack! https://substack.com/@makingbetterdecisions1 Ways to Tune In: Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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Making Better Decisions: Leaders in Data
Today we discuss the human touch in analytics with Bhupi Arora, VP of Business Data Analytics and Insights at Hitachi Vantara. The discussion delves into the challenges of using data to inform decision-making in an era of overwhelming data abundance. Bhupi shares insights on connecting fragmented data, ethical AI use, and the importance of maintaining a narrow focus on business outcomes. They also explore the future of analytics, the role of change management, and the human elements essential to navigating the evolving landscape of data and AI. Throughout the conversation, Ryan and Bhupi emphasize the need for a strategic approach to data and analytics, balancing technological advancements with empathetic leadership. The episode wraps up with reflections on the optimistic potential of AI to drive positive change across diverse sectors and regions. Key Takeaways: Focus on Strategic Objectives: Clearly define what your organization aims to achieve with data and analytics. Empathy in Change Management: Use empathy to understand stakeholders' motivations and resistance. Scaling Analytics: Create a coherent, unified vision for data across the organization to improve decision-making. Blinders for Focus: In the face of overwhelming data and tools, focus on the most critical business questions and use cases. Then, gradually expand your scope rather than attempting to address all at once. Promote Analytics Internally: Address the "marketing problem" for analytics by clearly defining and demonstrating its value within the organization. Quote of the Show: “ Making sense with the data that we have today without drowning in its chaos is what matters the most.” - Bhupi Arora Links: LinkedIn: https://www.linkedin.com/in/bhupindersarora/ Website: https://www.hitachivantara.com/en-us/home/ Check out our SubStack! https://substack.com/@makingbetterdecisions1 Ways to Tune In: Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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Making Better Decisions: Leaders in Data
What happens when technically inclined people work with non-technical individuals? Robin Sutara, Field Chief Data Strategy Officer at Databricks, says that is where the most valuable contributions come from. Robin shares her journey from repairing Apache helicopters in the U.S. Army to holding prominent roles at Microsoft, and her contributions to the field of data strategy and AI. She discusses the importance of using data in everyday decisions, the challenges of implementing data-driven transformations in organizations with legacy systems, and the crucial role of data engineering. Robin also emphasizes the need for greater diversity in data roles and highlights her involvement with Women Leaders in Data and AI, an initiative aiming to increase gender representation in the field. The conversation provides valuable insights on the evolving landscape of data and technology and the importance of bridging technical capabilities with domain expertise. Key Takeaways: Recognize Everyday Use of Data: Understand that data is already a part of daily decision-making processes. Encourage organizational members to see data usage as a natural extension of their current habits. Rethink People, Process, and Operations: Emphasize the role of people and processes in successful data transformation. Foster Domain Expertise Integration: Use diverse perspectives to enrich data solutions and spark innovation. Articulate the Value of Data Engineering: Communicate the ROI of data engineering efforts by referencing cost savings, productivity gains, and unique insights. Establish Clear Data Governance: Define and enforce policies for data quality, metadata management, and lifecycle management. Quote of the Show: “ I really wish people would come to the realization that data is not this outlier thing. It's not a new or novel concept. It is something that you're already using today.” - Robin Sutara Links: LinkedIn: https://www.linkedin.com/in/robin-sutara/ Website: https://www.databricks.com/ Check out our SubStack! https://substack.com/@makingbetterdecisions1 Ways to Tune In: Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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Making Better Decisions: Leaders in Data
Biases are the setback to human involvement in data-driven decision-making. This episode with John Giaquinto, VP of Loyalty, Personalization, and Analytics at Rite Aid, discusses the intricate dynamics of human behavior and data-driven decision-making. John shares his extensive experience in marketing, advertising, and customer analytics, emphasizing the importance of interpreting data correctly and challenging preconceived biases. Throughout the conversation, John and Ryan explore the concept of proactive vs. reactive data analysis and the significance of exploratory efforts. They delve into the specifics of loyalty-based marketing, discussing long-term incrementality, consumer behavior, and the challenges faced in a constantly changing business environment. Key Takeaways: Understand the Difference Between Data and Insights: Ensure that your team and stakeholders understand that raw data is not inherently insightful. It needs to be analyzed and contextualized to extract actionable insights. Balance Reactive and Proactive Analysis: Determine an effective balance between reactive reporting (answering specific business questions) and proactive analysis (exploring new opportunities). Foster Exploratory Analytics: Allocate resources and create an environment that supports exploratory analysis. This can help uncover new avenues and opportunities that would otherwise remain hidden. Human Element in Analytics: Acknowledge and address the biases and cognitive limitations. Train your team and stakeholders on fundamental behavioral economics concepts to improve decision-making and reduce bias. Leadership Buy-in: Strive for top-down support and belief in the power of data. The data culture has to be endorsed from the executive level to permeate effectively throughout the organization. Quote of the Show: “ You need to do things to make sure you're taking your own bias out of it and that you're actually providing information with that data.” - John Giaquinto Links: LinkedIn: https://www.linkedin.com/in/johngiaquinto/ Website: https://www.riteaid.com/ Ways to Tune In: Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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Making Better Decisions: Leaders in Data
Nachiket Mehta, the Head of Data and Analytics Engineering for Global Operations at Wayfair joins today to discuss navigating the last mile of data decision making. Nachiket shares his extensive experience in software development, consulting, and data engineering. They also discuss the importance of translating data into actionable insights and the best practices in data governance and AI application. Nachiket emphasizes the importance of stakeholder alignment, data contracts, and automated governance. He also explores upskilling employees for AI and the role of data in making better strategic decisions. Key Takeaways: Focus on Business Impact: Always start with the question of what business impact you're trying to achieve. Data Contracts and Governance: Implement a solid governance model with data contracts. This could include defining roles, maintaining clear ownership, and using a versioned repository for data contracts to avoid miscommunication and errors. Handling Ad Hoc Requests: Differentiate between ad hoc and long-term data use cases. For urgent, short-term needs, use scrappy solutions temporarily but ensure anything productionalized meets governance standards. Balancing Speed and Governance: Develop a balance between the need for quick answers and the adherence to governance policies. Establish a flowchart or decision tree that guides staff in correctly prioritizing tasks. Structured Planning Processes: Link your data initiatives to the company’s strategic planning processes. Make sure data-related goals are clear and aligned with the company's larger objectives. Quote of the Show: “ Don't try to overcomplicate it and add a lot of additional layers, middlemen, middle steps.” - Nachiket Mehta Links: LinkedIn: https://www.linkedin.com/in/nachiketmehta/ Website: https://www.wayfair.com/ Ways to Tune In: Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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Making Better Decisions: Leaders in Data
1 Diving Into Data: Beyond Lakes and Swamps - Mark Brady - Making Better Decisions - Episode # 42 52:09
Mark Brady, Deputy Chief Data Officer for TRMC at KBR joins the show today to hone in on data knowledge and management best practices. With an extensive background in mathematics and computer science and experience in various industries, Mark discusses the essential elements of effective data management. He critiques common data science practices, such as the flawed concept of the data life cycle and the misuse of terms like 'data lake.' Mark emphasizes the need for rigorous, structured approaches and outlines the four levels of knowing in data science. He also introduces the notion of next-generation data management and models like the Active User Model and the Notified User Model. This episode is packed with insights on how organizations can improve their data practices to make better, more informed decisions. Key Takeaways: Adopt Next Generation Data Management Principles: Focus on structured, well-defined data management practices rather than relying on buzzwords like "data lakes." Ensure your data is integrated and not siloed to avoid "data swamps." Emphasize Data Structure: Use structured data models to enable automation and ensure accurate and consistent data processing and analysis. Understand the Four Levels of Knowing: Having the data, knowing what data you have, understanding the data, understanding the data in the context of other data. Clarify Terminology: Make sure everyone involved has a common understanding of key data management terms like "data lake," "data warehouse," and "data mesh." This avoids confusion and ensures everyone is on the same page. Focus on Rigor and Precision: Adopt a rigorous and precise approach to your data practices. This will lead to more reliable outcomes and better decision-making capabilities. Quote of the Show: “ It turns out that we don't actually manage data in a data life cycle, nor should we manage in a life cycle.” - Mark Brady Links: LinkedIn: https://www.linkedin.com/in/mark-brady-18274321b/ Website: https://www.kbr.com/en Ways to Tune In: Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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Making Better Decisions: Leaders in Data
Keith Aumiller, Director of Advanced Analytics at AmeriGas joins the podcast today to discuss automation within the data field. Keith shares the insights he’s gained from a career spanning financial services, aerospace manufacturing, and the energy sector. They discuss the importance of data quality, the limitations and hype surrounding generative AI, and the role of advanced analytics in business automation. Keith also delves into the philosophical implications of full automation and offers practical advice on implementing and understanding large language models. This episode is packed with thought-provoking discussions on the future of analytics and its impact on business decision-making. Key Takeaways: Educate on Data Limitations: Ensure your organization understands the limitations of data analytics tools like generative AI. Emphasize that they generate text, not ideas. Focus on Data Quality: Reinforce the importance of data quality. Implement robust data collection and cleaning practices to avoid the "trash in, trash out" problem. Balance Complexity with Simplicity: Use advanced analytics and automation tools where they add value but don’t neglect the power of simple, descriptive analytics for everyday decision-making within teams. Automate Wisely: Identify clear business cases for automation and ensure they have a solid ROI before proceeding to enhance efficiencies without causing undue disruptions to existing processes. Customize Data Practices by Industry: Understand that data quality and processes vary significantly by industry. Tailor your data governance and analytics strategies to fit the specific needs and realities of your industry. Quote of the Show: “ You can have the best algorithms in the world, and if you don't have good data to base them off of, then you're not going to get good results.” - Keith Aumiller Links: LinkedIn: https://www.linkedin.com/in/keithaumiller/ Website: https://www.amerigas.com/ Ways to Tune In: Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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Making Better Decisions: Leaders in Data
Today, Ryan Sullivan is joined by Charles Link, Senior Director of Data and Analytics at ReWorld Waste. Charles shares his extensive experience spanning marketing, financial analysis, IT, and data management. They discuss the importance of understanding the purpose behind data creation, the significance of having clear data definitions, and the value of conversations with both data creators and stakeholders. Charles also emphasizes the importance of artificial intelligence as a tool that needs to be understood properly and integrated thoughtfully. This episode brings practical strategies for balancing data accuracy with practical business processes, securing sensitive data, and embracing AI for future business enhancement. Key Takeaways: Understand the Purpose of Data: Data is created for specific purposes. It's crucial to ensure that you understand the context and intended use of data before acting on it. Balance Sales and Data Quality: Organizations need to find a balance between minimizing sales friction and maintaining clean data. This can be achieved by integrating data requirements into the normal workflow of sales activities. Adopt a Process-Oriented Approach: View data as an integral part of business processes. Engage with data creators and stakeholders at the beginning of any project to ensure clear data definitions and requirements. Implement a Data Dictionary Incrementally: Start with the immediate data needs of current business initiatives and build out your data dictionary graduall. Focusing on what delivers business value will provide compound returns over time. Enhance Human Communication: Use advanced technologies to augment rather than replace human interactions. Quote of the Show: “ Look at everything as a matter of process and think of data as the blood cells that flow through the veins of those processes.” - Charles Link Links: LinkedIn: https://www.linkedin.com/in/charles-a-link/ Website: https://www.reworldwaste.com/ Ways to Tune In: Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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Making Better Decisions: Leaders in Data
1 Crafting Narratives for Data Storytelling - Jeff Nieman - Making Better Decisions - Episode #39 44:36
Today, Ryan interviews Jeff Nieman, Senior Director of Data Strategy and Visualization at Best Buy. Jeff shares his extensive experience in data governance, data literacy, and AI's role in improving data cataloging and storytelling. He emphasizes the importance of trust in data, creating accessible data catalogs, and achieving balance in data strategy to ensure ROI. Jeff also sheds light on the concept of proactive data analytics and predictive modeling, underscoring the need for strong business partnerships and a thorough understanding of business contexts to maximize data utilization effectively. Key Takeaways: Prioritize Data Trust and Accessibility: Develop an easy-to-navigate data catalog to make data sources easily searchable and accessible. Harness AI for Efficiency: Use AI tools to automate and streamline data cataloging and metadata creation processes. Utilize Storytelling Techniques: Develop data visualizations and dashboards that not only present data but also tell compelling stories that are easy to understand. Cultural Change from the Top: Ensure executive leadership is educated on the value and potential of data analytics. Quantify the Value of Analytics: Tie predictive models and analytics projects directly to business outcomes and financial performance. Quote of the Show: “ It's not just enough to get good data. You have to know how to understand the data. How to better tell the story, how to better help people become literate and fluent in the area of the data.” - Jeff Nieman Links: LinkedIn: https://www.linkedin.com/in/jeffreynieman/ Website: https://www.bestbuy.com/ Ways to Tune In: Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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Making Better Decisions: Leaders in Data
1 The Trifecta for Better Business Decisions - Nikhar Shah - Making Better Decisions - Episode #38 47:27
In this episode of Making Better Decisions, host Ryan Sullivan speaks with Nikhar Shah, VP of Data Analytics and Forecasting at LPL Financial. Nikhar shares his academic background in computer science, management information systems, and data science and recounts his extensive experience in the data industry. He discusses crucial skills for making data-driven decisions, emphasizes the importance of combining technical skills, problem understanding, and communication, and delves into the differences in working in data analytics between India and the United States. Nikhar also touches on current challenges in the field and the impact of AI and ML on business processes. Key Takeaways: Develop a Balanced Skill Set: Emphasize the importance of technical skills, problem-understanding, and communication in your team. Embrace AI and ML Applications: Leverage your company’s internal data to create personalized GPT models to enhance decision-making and productivity. Foster Mathematical Intuition: Provide resources for team members to develop these skills, which are crucial for making better decisions using data. Implement Forward-Looking Analytics: Move from historical BI reporting to integrating forecasting and predictive analytics in your business intelligence tools. Promote a Culture of Learning and Adaptation: Encourage curiosity and the exploration of new technologies and methodologies relevant to data science and analytics. Quote of the Show: “ It's fundamental to have a quantitative mindset and outlook to any problem. If you have that, I think you will be better equipped with making better decisions using data and having a little bit of more foresight on what you're trying to solve.” - Nikhar Shah Links: LinkedIn: https://www.linkedin.com/in/nikharshah/ Website: https://www.lpl.com/ Ways to Tune In: Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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Making Better Decisions: Leaders in Data
1 Data Predictions and Strategies for 2025 - Ryan Sullivan - Making Better Decisions - Episode #37 25:35
In this episode of Making Better Decisions, host Ryan Sullivan sets the stage for 2025 with predictions, advice, and insights on using data to drive outcomes. Ryan highlights the growing maturity of technologies like generative AI and Microsoft's Fabric platform, emphasizing the need for a balanced approach to both short-term wins and long-term data strategies. He also discusses common data challenges such as integrating data from multiple sources, managing spiky demand for reports, and improving governance and communication. The episode underscores the evolving role of data in decision-making and stresses the importance of continuous learning and adaptation. Key Takeaways: Embrace New Technologies: In 2025, integrate new, mature technologies like generative AI and Microsoft's Fabric into your organization's data strategy. These tools can drive purpose-driven initiatives and make implementation easier. Balance Short-term and Long-term Objectives: Avoid overcommitting to either short-term quick wins or extensive long-term projects. Develop a balanced strategy that allows for both, ensuring that your organization sees continual value and progress. Maintain Core Analytic Functions: While adopting new tools, ensure that core data questions and infrastructure remain efficient and clear, avoiding overreliance on novel technologies for fundamental analytics. Define Clear Goals: Ensure that your technology tools have well-defined goals and that your data is organized and clean. This clarity will enhance the efficiency and effectiveness of your data initiatives. Improve Data Governance: Regularly maintain and clean up outdated or duplicative reports to sustain trust in your data. Ensure that knowledgeable personnel are available to explain and utilize the organization's reports. Quote of the Show: “ One of the things that I would love to see more traction on in 2025 is organizations and in particular data professionals within those organizations understanding some of these communication hurdles and having the support to tackle them head-on.” - Ryan Sullivan Links: LinkedIn: https://www.linkedin.com/in/ryanmuldoonsullivan/ Website: https://canopyanalytic.com/ Ways to Tune In: Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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Making Better Decisions: Leaders in Data
In the final episode of the year, host Ryan Sullivan answers listener questions and reflects on the biggest data trends of 2024. He emphasizes the significance of understanding the role of humans in the data process and the importance of crafting deep relationships across organizations for impactful analytics. Ryan also discusses the importance of staying informed, the value of teamwork, and the inspiration he derives from clients. He addresses the major barriers to adopting data-driven strategies and stresses the need for well-organized governance and high-quality analytics practices. Finally, Ryan shares his personal hopes for the holiday season and expresses gratitude to listeners for their support throughout the year. Key Takeaways: Build Deep Organizational Relationships: Encourage continuous collaboration to align data initiatives with business needs and goals. Encourage a Collaborative Culture: Promote teamwork and complementary skill sets within the data analytics team to leverage diverse expertise. Adopt and Improve Human Elements: Recognize that effective data utilization is fundamentally a human endeavor. Embrace Generative AI with Caution: Focus on integrating generative AI as a complement rather than a replacement for traditional data analysis. Stay Informed and Inspired: Foster a culture of continuous learning and adaptation to keep up with the fast-paced evolution of data technologies. Quote of the Show: “ That's inspiring enough for me, seeing that light bulb and seeing the actual impact and seeing some of the folks that I've worked with have their careers just explode.” - Ryan Sullivan Links: LinkedIn: https://www.linkedin.com/in/ryanmuldoonsullivan/ Website: https://canopyanalytic.com/ Ways to Tune In: Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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Making Better Decisions: Leaders in Data
In this episode of the Making Better Decisions podcast, Ryan Sullivan speaks with Aleks Lazarevic, an experienced analytics professional who is currently a Senior Consulting Partner for Sigmoid and Founder of AI&DA Insights. They discuss the importance of asking the right business questions to effectively leverage data, the challenges organizations face in creating a data-driven culture, and the role of advanced analytics in achieving business goals. Aleks shares insights from his career across diverse industries, offers practical advice on integrating both internal and external data for better decision-making, and emphasizes the evolving role of AI in the analytics landscape. They also touch on personal interests, revealing Aleks' passion for cooking and his belief in the correlation between food and healthcare. Key Takeaways: Prioritize Quick Wins: Identify and prioritize quick wins that can demonstrate the value of data analytics early on. This helps build credibility and trust within the organization. Develop a Data-Informed Culture: Work on bridging the gap between technical teams and business users. Encourage a culture where data is integral to decision-making processes at all levels. Combine Internal and External Data: Don’t just rely on internal data. Combine it with external data sources such as public datasets, market trends, and third-party vendor data to gain more comprehensive insights. Focus on Business Questions: Always start with a clear understanding of the business objectives and the specific questions the business needs to answer. This helps in aligning data initiatives with business goals. Focus on Value, Not Just Technology: Concentrate on the business value that data initiatives can bring rather than just the technical aspects. Demonstrate how analytics can directly impact the business positively. Quote of the Show: “ I think the real magic in using data effectively is really to know what kind of business questions you are trying to answer. Data without that kind of context is just noise.” - Aleks Lazarevic Links: LinkedIn: https://www.linkedin.com/in/aleksandar-lazarevic/ Website: https://www.sigmoid.com/ Ways to Tune In: Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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Making Better Decisions: Leaders in Data
1 Making Data-Driven Healthcare Decisions - Jason Jones - Making Better Decisions - Episode #34 57:15
In this episode of the Making Better Decisions podcast, Ryan Sullivan speaks with Jason Jones, the Chief Analytics and Data Science Officer at Health Catalyst. With nearly 30 years of healthcare data analytics experience, Jason offers valuable insights into the challenges and solutions for using data to make better decisions. He emphasizes the common pitfalls humans face when interpreting data and presents known methods to improve accuracy and consistency in decision-making. The discussion also covers the psychology of decision-making, the complexities of healthcare, and strategies for applying data-driven insights more effectively. Key Takeaways: Embrace Human Limitations: Acknowledge that humans are not naturally adept at drawing accurate conclusions from data without assistance. Implement tools and frameworks that can help mitigate common interpretation errors. Adopt Statistical Process Control: Utilize statistical process control (SPC) charts to identify outliers and persistent changes in performance. Integrate Advanced Tools in BI Platforms: Embed advanced analytics techniques such as automated change point detection and forecasting into standard BI tools like Power BI, Tableau, and ClickSense to enhance data-driven decision-making. Create a Culture of Revisiting Decisions: Establish a process for regularly revisiting and evaluating strategic and policy decisions. Leverage Behavioral Economics: Use behavioral nudges to align people’s actions with their best interests. This can include simple tactics such as auto-enrollment for beneficial programs or highlighting social norms to encourage better compliance. Quote of the Show: “As human beings, we will make predictable errors in interpretation and drawing conclusions. So that's thing one is we just need to know that; thing two is we can fix it.” - Jason Jones Links: LinkedIn: https://www.linkedin.com/in/jason-jones-175833188/ Website: https://www.healthcatalyst.com/ Ways to Tune In: Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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Making Better Decisions: Leaders in Data
In this episode of the Making Better Decisions podcast, Ryan Sullivan discusses the essential role of data in decision-making with Kaushik Meneni, Director of Commercial Analytics at Extended Stay America. Kaushik shares insights from his extensive career spanning across multiple industries such as biotech, manufacturing, and hospitality, emphasizing the dynamic nature of data. They dive into the significance of understanding business strategy, the importance of standardization and automation in data tasks, and the exciting potential of data analytics in sales and FP&A. Key Takeaways: Embrace Data as a Living Entity: Recognize that data is constantly changing and adapting. When making decisions, consider the varying timelines (daily, weekly, monthly) and how these affect the data and outcomes. Balance Between Helping and Guiding: While supporting with data, be proactive in providing unrequested insights that can add value. Create reports that not only answer asked questions but also highlight important trends and areas for improvement. Showcase Data's Role in Strategy: Emphasize that data strategy is intertwined with business strategy. Data leaders should ensure that their analytics efforts directly support and drive the larger business goals. Invest in External Data and Competitive Analysis: Look beyond internal data. Incorporate external data sources and competitive analysis to give a holistic view that can lead to more informed decision-making and business strategy alignment. Facilitate Clear Communication and Collaboration: Ensure that data is presented in a way that can be easily understood by different departments. Set up top-down reports that start with high-level KPIs for leadership and drill down to detailed analysis for managers and analysts. Quote of the Show: “Data is an ever-changing thing. It's a machine on its own.” - Kaushik Meneni Links: LinkedIn: https://www.linkedin.com/in/kaushik-meneni/ Website: https://www.extendedstayamerica.com/?mid=lk-LINKEDIN2019 Ways to Tune In: Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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Making Better Decisions: Leaders in Data
In this episode of the Making Better Decisions podcast, Ryan interviews David Wendt, the Lead Data Scientist and Manager of Innovation and AI Governance at Sherwin Williams. David discusses his career journey, the challenges of using data for making better decisions, and the impact of generative AI. The conversation also touches upon the importance of empathy, communication, and storytelling in analytics, along with the need for data professionals to understand business operations. David shares practical advice for analysts and reflects on how his personal interests, such as tabletop role-playing and 3D printing, influence his professional approach. Key Takeaways: Understand Different Perspectives: Put yourself in the seat of your audience or requester to understand their perspective and needs. Practice Empathy: Develop empathy by actively listening and understanding the client's needs and perspectives. This builds better professional relationships. Effective Communication: Align your definition of storytelling with the client. Ensure that your data communicates clearly and supports actionable business decisions. Humility in Expertise: You don't need to prove your intelligence with complex data presentations. Instead, present insights in a clear and accessible manner that prioritizes the client's understanding. Balance Technical and Business Skills: Encourage data professionals to spend time with business teams to understand their operations better. This helps in aligning technical solutions with business needs. Quote of the Show: “Data is not magic. We can do a lot of incredible-looking stuff, but there's a lot of work behind the scenes.” - David Wendt Links: LinkedIn: https://www.linkedin.com/in/davidwendtphd/ Website: https://corporate.sherwin-williams.com/us/en/our-company.html Ways to Tune In: Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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Making Better Decisions: Leaders in Data
In this episode of Making Better Decisions, analytics consultant Ashish Singru joins to discuss optimizing decision-making using data. Ashish shares his extensive experience across various multinational companies and emphasizes the importance of understanding business contexts and mental models in data analysis. He elaborates on the significance of blending technical expertise with business insights, drawing from his background in engineering and analytics. Additionally, Ashish offers valuable advice on leveraging India's technical talent and the benefits of trial and error approaches in root cause analysis. The conversation also explores Ashish's personal interests in travel, history, and bird watching, emphasizing the importance of balancing technical work with personal passions. Key Takeaways: Clarify the Problem Before Diving into Data: Ensure that your team is aligned on the business objectives to be addressed by the data. Bridge the Gap Between Technical and Business Teams: Invest time in finding or training individuals who can communicate effectively between the technical and business domains. Provide Business Context to Technical Teams: Establish routines where technical teams regularly participate in business meetings to understand the business language and context. Encourage the Development of Citizens Data Scientists: Train and empower non-technical staff to use data tools. This democratizes data analysis and can uncover unexpected talents within the organization. Prioritize Agile Analytics: Encourage agile practices within the analytics team to keep pace with dynamic business needs. Quote of the Show: “It's cool to tell others that I'm using data to solve my problems, but make sure you are clear in your own mind about how you want to use data to solve problems because it's only going to be as good as the problem that needs that data to be solved.” - Ashish Singru Links: LinkedIn: https://www.linkedin.com/in/ashishsingru/ Ways to Tune In: Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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Making Better Decisions: Leaders in Data
On this week’s episode of making better decisions your host Ryan Sullivan answers the most common questions from the listeners. The discussion highlights the impact of influential resources and communities on professional growth, as well as the challenges and rewards of working with data. We touch on the importance of staying informed, building supportive networks, and navigating data privacy regulations to maintain a balance between security and innovation. Takeaways: Continuous Learning : Staying updated with technological advancements is crucial for sustained growth in the data field. Value of Entrepreneurial Networks : Engaging in peer groups like EO accelerates business skills and offers authentic support. Problem-Solving Passion : Data work is intellectually stimulating, likened to solving intricate, varied puzzles with real-world impact. Data Privacy Regulations : Understanding and complying with data laws like GDPR and HIPAA is essential, but effective security often extends beyond regulations. Balancing Security and Innovation : Implementing adaptable security measures that match data sensitivity is key to supporting innovation without compromising safety. Quote of the Show: “It is a skill set that I have some natural ability with that, if done well, can actually really make an impact for people. I will also say that I get to solve puzzles all day. It's really fun.” - Ryan Sullivan Links: LinkedIn: https://www.linkedin.com/in/ryanmuldoonsullivan/ Website: https://canopyanalytic.com/?gad_source=1&gclid=CjwKCAjwhvi0BhA4EiwAX25uj77atJjlS2R2vfXMRx2RpJlrc8Lmzw7gKUePMWv6qioCWOcOtCp4-hoCjskQAvD_BwE Ways to Tune In: Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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Making Better Decisions: Leaders in Data
1 The Critical Interface Between Data and Human Decision-Making - Nimisha Morkanda - Making Better Decisions - Episode #29 46:11
In this episode, we sit down with our guest Nimisha Morkanda to explore the nuanced relationship between data, technology, and human decision-making. Our guest delves into why understanding the context of data is essential for extracting meaningful insights and how his research in neural network models and human memory informs his current work in analytics. We discuss the challenges data professionals face when turning raw data into practical, actionable business solutions and how they can bridge the gap between technical outputs and human understanding. Key Takeaways: Context is King : The importance of understanding the context behind data cannot be overstated. Without context, data is just numbers; with context, it transforms into information that drives strategic decisions. Bridging Technology and Psychology : Our guest’s background in studying neural networks and human memory provides unique insights into how AI can simulate long-term processes and help in fields like medicine, including research on conditions like Parkinson’s and dementia. Practical Data Application : In real-world business scenarios, data professionals must actively engage with stakeholders to clarify the problem at hand, assess available data, and construct a coherent narrative that connects findings with business objectives. Simulating Long-Term Data : Neural network models are invaluable for creating simulations that compensate for the lack of longitudinal data, enabling better insights into complex processes over extended periods. Data Storytelling : Beyond analysis, data professionals must weave a narrative that translates data insights into business language to ensure clear, impactful decision-making. Quote of the Show: “Knowing the context of the data is really important and it is by far the most critical thing, in my opinion and my experience, to drive decisions based on the data you have in hand.” - Namish Morkanda Links: LinkedIn: https://www.linkedin.com/in/srinimishamorkonda/ Website: https://www.westerndigital.com/ Ways to Tune In: Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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Making Better Decisions: Leaders in Data
1 The Evolution of Analytics and Category Management - Michelle Tisdale - Making Better Decisions - Episode #28 43:06
In this episode, we dive deep into the evolving world of analytics and category management with Michelle Tisdale, a seasoned data expert and a passionate advocate for harnessing the power of AI and analytics in business. Michelle shares her journey from traditional category management to business intelligence and performance. We explore how modern data strategies can drive real business impact, the importance of building strong analytics teams, and the human elements that contribute to her professional success. Plus, Michelle gives us a peek into her interests beyond analytics, from fashion to baking! Key Takeaways: Human-Centric Analytics : As companies integrate AI, they must ensure roles are aligned with employees' skill sets rather than expecting everyone to become a technical expert. Category Management’s Shift : What was once called category management is now an integral part of business intelligence, encompassing broader business performance metrics beyond just sales data. Collaboration with Analytics Enthusiasts : To build a data-driven culture, identify curious and passionate individuals across departments and engage them in analytics projects. Finding the Right Talent : Michelle stresses the value of hiring skilled analytics professionals who stay current with industry advancements, whether in-house or contracted. Power of Community and Networking : Building a network through industry events, LinkedIn, and local meetups is invaluable for discovering and connecting with analytics talent. Quote of the Show: "If you can survive through category management and figure this stuff out, that’s the foundation you want. And if you can do that, come on my team—I’ll take you." – Michelle Tisdale Links: LinkedIn: https://www.linkedin.com/in/misstiz/ Website: https://omnicomcommercegroup.com/ Ways to Tune In: Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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Making Better Decisions: Leaders in Data
1 Understanding Data's Role in Decision-Making: Insights from Pro Sports - Sam Marks - Making Better Decisions - Episode #27 44:50
In this episode, we dive deep into the relationship between data and decision-making, exploring how understanding what data is—and more importantly, what it’s not—leads to more effective, informed choices. Drawing on experiences from the world of professional sports, our guest Sam Marks Director of Business Strategy & Analytics, Boston Bruins & TD Garden shares insights into how businesses can use data to optimize outcomes while acknowledging its inherent imperfections. From modeling uncertain future outcomes to building empathy with decision-makers, this conversation highlights the human element in the world of data-driven decisions. Key Takeaways: Understanding Data’s Limitations : Data is an invaluable tool for decision-making, but it’s important to remember that it represents imperfect, past information. It cannot predict the future with certainty or account for every possible factor. Probabilities, Not Guarantees : Decision-making is about optimizing for the most probable outcomes, not ensuring perfection. Even with the best data, outcomes can vary due to factors beyond control. Empathy in Data Delivery : To make data actionable, it’s essential to empathize with the decision-makers, ensuring that the data presented is digestible, defensible, and aligned with their needs. Hedging Against Volatility : In competitive industries like professional sports, uncontrollable variables like game outcomes impact business metrics. The key is to build robust processes that thrive regardless of external volatility. Actionable Data : It’s not enough to build impressive reports. The data must empower stakeholders to make better decisions, helping them reduce uncertainty while being mindful of human limitations. Quote of the Show: “Data is a useful input, but it’s not a perfect symmetry of what’s going to happen in the future. To use it effectively, you must understand its limitations and how to apply it without expecting perfect outcomes.” - Sam Marks Links: LinkedIn: https://www.linkedin.com/in/samhmarks/ Website: https://www.nhl.com/bruins/ Ways to Tune In: Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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Making Better Decisions: Leaders in Data
1 How do you use data to make better decisions? - With Some of our Favorite Guests - Making Better Decisions - Episode #26 29:00
In this episode, we dive deep into the art of using data to drive better business decisions with some of our favorite guests. From the challenge of compiling vast amounts of information to the thrill of discovering insights, we explore how data plays a crucial role in shaping strategies. Our guests also highlight the significance of original research in data collection, collaboration with peers to fill gaps, and how data-driven marketing can be a powerful tool for business growth. We also touch on the importance of starting with the business objectives before diving into tools and technology. Links to Episodes: - Unlocking Data Potential - Claus Torp Jensen - Making Better Decisions - Episode #20 https://youtu.be/d6fSTUNW89Y - Impactful Insights: Why Sales Data Matters - Scott Parisi - Making Better Decisions - Episode #16 https://youtu.be/bmU5DwOq0AA - Data Excellence: Strategies for Success - Zainulabedin Shah - Making Better Decisions - Episode #17 https://youtu.be/_NKgwTyMglc - Building Trust Through Data in Finance - Divyasom Malhan - Making Better Decisions - Episode #19 https://youtu.be/CxTnId0ikLo Ways to Tune In: - Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi - Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 - Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data - Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 - Transistor: https://www.makingbetterdecisions.live/episodes - YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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Making Better Decisions: Leaders in Data
1 The Balance Between Soft Skills and Data Mastery - Robert Bonovich - Making Better Decisions - Episode #25 55:02
In this episode, we explore the critical balance between technical data expertise and essential soft skills, such as communication and stakeholder management. Our guest Robert Bonovich Senior Business Analyst at Cisco Systems shares real-world examples from their career, including a fascinating story from their time in sales where they leveraged multiple data sets to target prospects effectively. We also discuss the importance of developing personal data projects, building strong communication skills, and continually asking the right questions to find insights that drive business success. Key Takeaways: Don't underestimate soft skills : Effective data analysis goes beyond technical prowess; it’s about how well you can communicate insights to non-technical stakeholders. Creating value with data : Even small insights, such as a slight improvement in conversion rates, can lead to significant business impacts. Asking the right questions : Constantly observing patterns and trends in your data is crucial for finding actionable insights. Building personal projects : Working on personal data projects can sharpen your analytical skills and help you spot opportunities in professional settings. Passion Discovery: Shifting from computer science to math and data analytics due to a passion for solving real-world problems. Career Pivot: Overcoming the fear of being stuck in a cubicle by pursuing a path that combined technical and interpersonal skills. Practical Application of Coding: Using R and Python to solve complex business problems, like ROI analysis for companies. Quote of the Show: “Everyone wants to hit the home run. But if you're constantly just making little data insights that can create singles or doubles, You're getting on base, you're still creating value, right?” - Robert Bonovich Links: LinkedIn: https://www.linkedin.com/in/robert-bonovich-162a4a121/ Website: https://www.cisco.com/ Ways to Tune In: Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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Making Better Decisions: Leaders in Data
In this episode, we dive deep into the art of using data to drive better business decisions with some of our favorite guests. From the challenge of compiling vast amounts of information to the thrill of discovering insights, we explore how data plays a crucial role in shaping strategies. Our guests also highlight the significance of original research in data collection, collaboration with peers to fill gaps, and how data-driven marketing can be a powerful tool for business growth. We also touch on the importance of starting with the business objectives before diving into tools and technology. Key Takeaways: The Joy of Data : Compiling and interpreting data is challenging but leads to exciting insights that can shape key decisions. Original Research Matters : Being part of the data creation process adds value, especially when sharing insights with peers and the industry. Data as a Marketing Tool : Leveraging reports and competitive intelligence to engage with prospects and customers is a powerful strategy. Links to Episodes: Data Integrity - Jeremy Woods - Making Better Decisions - Episode # 001 https://youtu.be/gHJ4BWi6TLc Navigating the Data Labyrinth - Seth Earley - Making Better Decisions - Episode # 002 https://youtu.be/I9OVQgE4wSE The 'Why' Behind Data with Rebecca Friedberg - Making Better Decisions - Episode # 011 https://youtu.be/darh1Lg44sQ How AI and Data work together - Judah Phillips - Making Better Decisions - Episode # 014 https://youtu.be/WKp6CE5jrIQ Ways to Tune In: Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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Making Better Decisions: Leaders in Data
1 FP&A and BI: Strategic Insights for Business Success - William Bett - Making Better Decisions - Episode #23 49:29
In this episode, we dive deep into the essential roles of FP&A (Financial Planning and Analysis) and BI (Business Intelligence) within organizations. Our guest William Bett highlights the importance of making data accessible to everyone, not just experts, and emphasizes that understanding and translating data into actionable business insights is a crucial skill in today’s environment. The discussion explores the differences between FP&A and BI, how each team contributes to strategic decision-making, and the tools necessary to navigate both technical and business challenges. We also talk about imposter syndrome, the need for continuous learning, and the evolving nature of data-driven roles. Key Takeaways: Data is for Everyone : You don't need to be a data expert to leverage it—understanding the context and translating it into decisions is key. FP&A vs. BI : FP&A is more business-driven, focusing on strategic decision-making, while BI tends to be more technically focused on data architecture and reporting. Storytelling with Data : It’s not just about graphs and numbers; it’s about telling a story that leads to clear, informed decisions. Adapting Tools to Tasks : Excel remains a key tool in FP&A for scenario analysis, while more advanced BI tools (like Tableau and Power BI) handle large-scale data. The Importance of Data Integrity : In FP&A (Financial Planning and Analysis), maintaining accurate data is crucial. The challenge lies in ensuring that the data being used is clean and consistent, as assumptions based on poor-quality data can lead to incorrect outcomes. Building a Data-Driven Culture in FP&A : A data culture in FP&A is about more than just hiring technically skilled people. It involves ensuring that everyone understands the data's origins, definitions, and meaning, allowing the team to confidently communicate insights to stakeholders. Quote of the Show: “Data is important for everyone and it should be approachable for everyone, meaning that you don't need to be a data scientist or some sort of data expert to be able to use data.” - William Bett Links: LinkedIn: https://www.linkedin.com/in/williambett/ Website: https://www.precisionaq.com/ Ways to Tune In: Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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Making Better Decisions: Leaders in Data
1 Data Quality and Problem Statements: The Two Pillars of Effective Decision-Making - Antonio Neto - Making Better Decisions - Episode #22 47:41
In this insightful episode, we dive into the critical components of making data-driven decisions, focusing on how to ask the right questions about your data. Antonio Neto emphasizes the importance of crafting clear problem statements and understanding the role data plays in shaping successful product development. Through real-world examples, they share how businesses can enhance decision-making by aligning data insights with business objectives and using design thinking to approach analytics in a user-centered way. Key Takeaways: Ask the Right Questions: Understanding how to ask precise, insightful questions about your data is foundational for effective decision-making. If your question isn’t clear, the data may provide answers that don’t meet your needs. Quality of Data Matters: Even with the right problem statement, poor data quality will lead to poor decisions. Ensure your data is clean and reliable for meaningful analysis. Use Design Thinking: Applying design thinking in data and product development helps businesses craft solutions that are more aligned with user needs. Integrate Data from the Start: For data-driven success, build your data infrastructure and tracking systems from the very beginning. This ensures seamless data analysis and faster product-market fit. A/B Testing Is Essential: Instead of relying on assumptions, leverage A/B testing to guide decisions. This method can drastically improve product performance based on real user feedback. Quote of the Show: “A huge mistake that happens sometimes is people believe that the data strategy should drive the business strategy. Not at all. No, we'll have the business strategy and the business strategy will drive the data strategy.” - Antonio neto Links: LinkedIn: https://www.linkedin.com/in/antonio-neto-tech/ Website: https://www.qapital.com/ Ways to Tune In: Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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Making Better Decisions: Leaders in Data
1 The Power of Asking the Right Questions - Dr. Sue Tripathi - Making Better Decisions - Episode #21 42:22
In this insightful episode, Dr. Sue Tripathi delves into the complexities of data utilization in businesses, emphasizing the importance of understanding which data sets are relevant to specific goals. The conversation explores how businesses can streamline their data practices to achieve more accurate and impactful outcomes. The discussion also touches on the significance of AI, including large language models, in driving operational efficiency and achieving strategic objectives. However, the conversation highlights the need for caution and ethical considerations when implementing AI solutions. Key Takeaways: Relevance Over Quantity: Focus on identifying the most relevant data sets rather than trying to analyze all available data. Understanding the purpose behind data collection is crucial for effective decision-making. Goal-Driven Data Utilization: Before diving into data analysis, it’s essential to define the goals and objectives clearly. This helps in selecting the appropriate data sets and avoiding partial insights that lead to incomplete outcomes. Simplicity in Approach: Start small with pilot projects to test the validity and reliability of data before scaling up. This approach helps in managing resources effectively and avoids overwhelming the organization. SMART Goals: Use SMART (Specific, Measurable, Achievable, Relevant, Time-bound) criteria to ensure that goals are realistic and aligned with the organization’s capabilities and market conditions. The Role of AI: AI, particularly large language models, can significantly enhance operational efficiency and strategic decision-making. However, it’s essential to be mindful of ethical implications, potential biases, and the lack of standardization in AI applications. Quote of the Show: “I think the one thing I wish people knew is to know the right sets of data they should be using.” - Sue Tripathi Links: LinkedIn: https://www.linkedin.com/in/st825/ Ways to Tune In: Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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Making Better Decisions: Leaders in Data
In this episode, we dive deep into the complexities of data management, the platform approach to analytics, and the nuances of data storytelling with our guest, Claus Torp Jensen, a seasoned data expert. We also explore unique challenges in the healthcare industry and how data can drive better decisions, outcomes, and healthier lives. Key Takeaways: The importance of avoiding "analysis paralysis" in data projects and moving towards platform-based solutions to reduce repetitive work. The dangers of pursuing "Big Bang" data projects, such as building large data warehouses without a clear, incremental path. Data storytelling is not just about telling stories but tailoring those stories with a purpose to drive decisions and actions. Healthcare data challenges include the lack of comprehensive standards, complex consent regulations, and the difficulty of integrating patient data across different systems. Despite these challenges, the potential rewards in healthcare are immense, from improving patient outcomes to creating digital twin representations for better health management. Quote of the Show: "Storytelling, in my world, is telling stories with a purpose. You tailor your story to promote your purpose, which is essential when explaining data-driven solutions.” - Claus Torp Jensen Links: LinkedIn: https://www.linkedin.com/in/claustorpjensen/ Website: https://www.utexas.edu/campus-life/medical-center Social Media: https://mobile.x.com/ClausTorpJensen Ways to Tune In: Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts…
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