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Understanding the 3D Approach to Analytics - Jacquie Bailey - Making Better Decisions - Episode #52

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Manage episode 477343445 series 3566389
Content provided by Ringmaster Conversational Marketing and Ryan Sullivan. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ringmaster Conversational Marketing and Ryan Sullivan or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

“ I strongly believe that you can take a horse and attach a unicorn by training them to think differently.” Jacquie Bailey, Director of Analytics at Designit, joins the show today to discuss how best to transform a seemingly ordinary analyst into a unicorn, somebody who balances the technical and business aspects. She emphasizes the need to think beyond historical measurements to identify actionable levers that can influence future results. Jacquie shares insights on understanding three-dimensional problems in analytics, the importance of data accessibility, and how organizations can foster a data-driven culture.

Key Takeaways:

  • Think Beyond Historical Data: Emphasize the value of using data to influence future outcomes rather than just measuring past events. Encourage an analytical mindset focused on identifying actionable levers that can impact business decisions.
  • Understand the Problem in 3D: Recognize that business problems are multi-dimensional, involving processes, people, and various factors. Ensure a thorough understanding of all components influencing the outcome.
  • Engage with Real-World Context: Spend time understanding the real-world context of the data. This could involve activities such as walking the manufacturing floor or engaging with different departments to understand the processes being analyzed.
  • Promote Data as a Valuable Product: Advocate for viewing data as a valuable product rather than a static asset. Highlight the potential ROI of data projects to gain better investment and resources.
  • Plan for Future Risks: Consider the long-term sustainability of data processes, especially concerning potential retirements or layoffs. Develop resilient processes that do.

Quote of the Show:

  • “ Analytics is who I am, not as much what I do. I am incapable of not analyzing everything around me.” - Jacquie Bailey

Links:

Check out our SubStack! https://substack.com/@makingbetterdecisions1

Ways to Tune In:

  continue reading

54 episodes

Artwork
iconShare
 
Manage episode 477343445 series 3566389
Content provided by Ringmaster Conversational Marketing and Ryan Sullivan. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ringmaster Conversational Marketing and Ryan Sullivan or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

“ I strongly believe that you can take a horse and attach a unicorn by training them to think differently.” Jacquie Bailey, Director of Analytics at Designit, joins the show today to discuss how best to transform a seemingly ordinary analyst into a unicorn, somebody who balances the technical and business aspects. She emphasizes the need to think beyond historical measurements to identify actionable levers that can influence future results. Jacquie shares insights on understanding three-dimensional problems in analytics, the importance of data accessibility, and how organizations can foster a data-driven culture.

Key Takeaways:

  • Think Beyond Historical Data: Emphasize the value of using data to influence future outcomes rather than just measuring past events. Encourage an analytical mindset focused on identifying actionable levers that can impact business decisions.
  • Understand the Problem in 3D: Recognize that business problems are multi-dimensional, involving processes, people, and various factors. Ensure a thorough understanding of all components influencing the outcome.
  • Engage with Real-World Context: Spend time understanding the real-world context of the data. This could involve activities such as walking the manufacturing floor or engaging with different departments to understand the processes being analyzed.
  • Promote Data as a Valuable Product: Advocate for viewing data as a valuable product rather than a static asset. Highlight the potential ROI of data projects to gain better investment and resources.
  • Plan for Future Risks: Consider the long-term sustainability of data processes, especially concerning potential retirements or layoffs. Develop resilient processes that do.

Quote of the Show:

  • “ Analytics is who I am, not as much what I do. I am incapable of not analyzing everything around me.” - Jacquie Bailey

Links:

Check out our SubStack! https://substack.com/@makingbetterdecisions1

Ways to Tune In:

  continue reading

54 episodes

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