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Building A Data Integration Practice Inside Disney with Ken Sterling

 
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Manage episode 243436767 series 1544663
Content provided by Big Data Beard. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Big Data Beard 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://ppacc.player.fm/legal.

Disney is so much more than Mickey Mouse and the amount of data being created across this massive enterprise represents untold value. Tapping that value in dark data in consistent way is exactly what our guest, Ken Sterling, and his Management Science and Integration team are doing inside Disney. Learn how they've created a consulting practice inside the company and the lessons learned along the way.
This podcast was recorded at the Disney Data and Analytics Conference in Orlando, Florida.
Music from this episode is by Andrew Belle. Please go check him out...you'll thank us!

  continue reading

207 episodes

Artwork
iconShare
 
Manage episode 243436767 series 1544663
Content provided by Big Data Beard. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Big Data Beard 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://ppacc.player.fm/legal.

Disney is so much more than Mickey Mouse and the amount of data being created across this massive enterprise represents untold value. Tapping that value in dark data in consistent way is exactly what our guest, Ken Sterling, and his Management Science and Integration team are doing inside Disney. Learn how they've created a consulting practice inside the company and the lessons learned along the way.
This podcast was recorded at the Disney Data and Analytics Conference in Orlando, Florida.
Music from this episode is by Andrew Belle. Please go check him out...you'll thank us!

  continue reading

207 episodes

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