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PowerBI: Streamlining data analysis, visualisation and communication with Rob Delves

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Manage episode 425823963 series 3379480
内容由Robert Pacey提供。所有播客内容(包括剧集、图形和播客描述)均由 Robert Pacey 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

In this episode of the Pacey Performance Podcast, Sports Scientist at the Melbourne Storm rugby league club, Rob Delves discusses the growing use of PowerBI in sports science for data analysis and visualization.

PowerBI is becoming a preferred tool over Excel due to its efficiency in handling larger data sets from multiple sources. Rob emphasizes the importance of upskilling in data analysis and communication within sports science, as resources can be limited. PowerBI provides streamlined data management and visualization capabilities, allowing for more advanced data manipulation than Excel. Its easy access, customization options, and cost-effectiveness make it an attractive alternative.

Rob highlights that PowerBI offers a uniform platform for data access and management, reducing the need for physical report distribution and potential errors. It integrates smoothly with existing Microsoft Office suites and ensures data security through multi-factor authentication. The transition from Excel to PowerBI is facilitated by their similar layouts, making it user-friendly for those familiar with Excel.

The podcast also covers the benefits of PowerBI in saving time through automation, which allows coaches to focus more on coaching rather than data entry. Data from training sessions can be quickly synced into PowerBI, streamlining the analysis process. However, Rob notes the challenges in collecting subjective data from athletes, as it may not always be reliable.

Rob concludes by discussing the integration of APIs for advanced data analysis, the importance of investing in data science skills, and the creative visualization opportunities that PowerBI offers. He suggests that while PowerBI is excellent for data reporting, it may not be the best tool for integrating video analysis.

Main talking points:

  • The importance of efficiency in data analysis and communication
  • PowerBI and its difference and similarities to Excel
  • Increased data security through using a cloud based solution
  • How to streamline data processing with PowerBI
  • Visualisation options in PowerBI versus Excel
  • Increased statistical analysis in PowerBI
  • Combining PowerBI and R or Python
  • Automation and PowerBI

  continue reading

602集单集

Artwork
icon分享
 
Manage episode 425823963 series 3379480
内容由Robert Pacey提供。所有播客内容(包括剧集、图形和播客描述)均由 Robert Pacey 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

In this episode of the Pacey Performance Podcast, Sports Scientist at the Melbourne Storm rugby league club, Rob Delves discusses the growing use of PowerBI in sports science for data analysis and visualization.

PowerBI is becoming a preferred tool over Excel due to its efficiency in handling larger data sets from multiple sources. Rob emphasizes the importance of upskilling in data analysis and communication within sports science, as resources can be limited. PowerBI provides streamlined data management and visualization capabilities, allowing for more advanced data manipulation than Excel. Its easy access, customization options, and cost-effectiveness make it an attractive alternative.

Rob highlights that PowerBI offers a uniform platform for data access and management, reducing the need for physical report distribution and potential errors. It integrates smoothly with existing Microsoft Office suites and ensures data security through multi-factor authentication. The transition from Excel to PowerBI is facilitated by their similar layouts, making it user-friendly for those familiar with Excel.

The podcast also covers the benefits of PowerBI in saving time through automation, which allows coaches to focus more on coaching rather than data entry. Data from training sessions can be quickly synced into PowerBI, streamlining the analysis process. However, Rob notes the challenges in collecting subjective data from athletes, as it may not always be reliable.

Rob concludes by discussing the integration of APIs for advanced data analysis, the importance of investing in data science skills, and the creative visualization opportunities that PowerBI offers. He suggests that while PowerBI is excellent for data reporting, it may not be the best tool for integrating video analysis.

Main talking points:

  • The importance of efficiency in data analysis and communication
  • PowerBI and its difference and similarities to Excel
  • Increased data security through using a cloud based solution
  • How to streamline data processing with PowerBI
  • Visualisation options in PowerBI versus Excel
  • Increased statistical analysis in PowerBI
  • Combining PowerBI and R or Python
  • Automation and PowerBI

  continue reading

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