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Alteryx (@Alteryx) - Co-founder Libby, & product manager Nick on Gartner wins in Analytics

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Manage episode 190912004 series 1466098
内容由Data Podcast, Rajib Bahar, and Shabnam Khan提供。所有播客内容(包括剧集、图形和播客描述)均由 Data Podcast, Rajib Bahar, and Shabnam Khan 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
Libby Duane is the Chief Customer Officer and a founding partner of Alteryx. In this role, Libby is responsible for overseeing and maximizing the complete Alteryx customer experience, from engagement to on-boarding, communications, performance, and retention. She has interacted with nearly every Alteryx customer, giving her a holistic perspective of the overall experience from implementation to adoption success. Nick Jewell, Technology Evangelist for Alteryx. He started his career with a PhD in Data Science before Data Science was a sexy term! His background is in studying Chemical Information Science and got to work on some exciting data projects around drug design. He made the jump into ‘big finance’ and spent over a decade learning and developing BI, Big Data and Analytics solutions before the perfect opportunity presented itself to join Alteryx as part of their solutions team. Interviewer: Rajib Bahar, Shabnam Khan Agenda: SB - Alteryx is a platform for Self-Service Data Analytics. What is the mission and vision about it? RB - In Gartner 2017 Magic Quadrant For Data Science Platforms, Alteryx was positioned as a Challenger. Also, it's at the top of niche players in the Business Intelligence and analytics platforms. How did your organization achieve it? SB - There are studies out there on Forbes stating that the majority of time a Data Scientist spends is on preparation of Data. What advantage does Alteryx give on that regard? RB - What kind of Machine Learning or Deep Learning algorithm can Alteryx implement? Please name few of them. Is it possible to customize them to fit a specific scenario? SB - Does Alteryx designer's workflow output directly to Dashboard applications such as Tableau and PowerBI? RB- There was a major conference namely #Alteryx17 recently. We would like to learn about some inside scoop from there. How is it organized and what kind of learning opportunities are available? What kind of audience does it cater to? Techies? or Business experts? or both? SB - What kind of Alteryx learning opportunities are in Minnesota? Is there a user group? RB - How can we utilize your site to learn about Alteryx? Music: www.freesfx.co.uk
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Artwork
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Manage episode 190912004 series 1466098
内容由Data Podcast, Rajib Bahar, and Shabnam Khan提供。所有播客内容(包括剧集、图形和播客描述)均由 Data Podcast, Rajib Bahar, and Shabnam Khan 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
Libby Duane is the Chief Customer Officer and a founding partner of Alteryx. In this role, Libby is responsible for overseeing and maximizing the complete Alteryx customer experience, from engagement to on-boarding, communications, performance, and retention. She has interacted with nearly every Alteryx customer, giving her a holistic perspective of the overall experience from implementation to adoption success. Nick Jewell, Technology Evangelist for Alteryx. He started his career with a PhD in Data Science before Data Science was a sexy term! His background is in studying Chemical Information Science and got to work on some exciting data projects around drug design. He made the jump into ‘big finance’ and spent over a decade learning and developing BI, Big Data and Analytics solutions before the perfect opportunity presented itself to join Alteryx as part of their solutions team. Interviewer: Rajib Bahar, Shabnam Khan Agenda: SB - Alteryx is a platform for Self-Service Data Analytics. What is the mission and vision about it? RB - In Gartner 2017 Magic Quadrant For Data Science Platforms, Alteryx was positioned as a Challenger. Also, it's at the top of niche players in the Business Intelligence and analytics platforms. How did your organization achieve it? SB - There are studies out there on Forbes stating that the majority of time a Data Scientist spends is on preparation of Data. What advantage does Alteryx give on that regard? RB - What kind of Machine Learning or Deep Learning algorithm can Alteryx implement? Please name few of them. Is it possible to customize them to fit a specific scenario? SB - Does Alteryx designer's workflow output directly to Dashboard applications such as Tableau and PowerBI? RB- There was a major conference namely #Alteryx17 recently. We would like to learn about some inside scoop from there. How is it organized and what kind of learning opportunities are available? What kind of audience does it cater to? Techies? or Business experts? or both? SB - What kind of Alteryx learning opportunities are in Minnesota? Is there a user group? RB - How can we utilize your site to learn about Alteryx? Music: www.freesfx.co.uk
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