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Balancing data, analysis and speed in business decision making

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Manage episode 366578223 series 2978632
Content provided by SAS Podcast Admins. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SAS Podcast Admins 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://player.fm/legal.

Steven Lehmann is passionate about the impact of data science in business. He is Head of Data Science and Analytics Strategy for Johnson & Johnson in EMEA. He also wrote the book Digital Jackpot on what it really takes to make data driven decisions that matter in business. Hint, the answer often isn’t more data. On this episode of the Health Pulse Podcast, he talks with Alex about the importance of telling the right story with data so that people will listen. He introduces the concept of data elasticity in finding the right balance between enough data and the speed at which you need to make business decisions in order to solve real-world problems. Data elasticity allows data scientists and business leaders to make strong recommendations with imperfect data, knowing that their recommendations would still hold within a reasonable margin of error in the data. When it comes to the explosion of data, AI and advanced analytics, he reminds us that these are excellent tools, but the individuals and organizations who can make the best use of them to drive impact will ultimately succeed.

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72 episodes

Artwork
iconShare
 
Manage episode 366578223 series 2978632
Content provided by SAS Podcast Admins. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SAS Podcast Admins 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://player.fm/legal.

Steven Lehmann is passionate about the impact of data science in business. He is Head of Data Science and Analytics Strategy for Johnson & Johnson in EMEA. He also wrote the book Digital Jackpot on what it really takes to make data driven decisions that matter in business. Hint, the answer often isn’t more data. On this episode of the Health Pulse Podcast, he talks with Alex about the importance of telling the right story with data so that people will listen. He introduces the concept of data elasticity in finding the right balance between enough data and the speed at which you need to make business decisions in order to solve real-world problems. Data elasticity allows data scientists and business leaders to make strong recommendations with imperfect data, knowing that their recommendations would still hold within a reasonable margin of error in the data. When it comes to the explosion of data, AI and advanced analytics, he reminds us that these are excellent tools, but the individuals and organizations who can make the best use of them to drive impact will ultimately succeed.

  continue reading

72 episodes

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