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Shifting to a Product Mindset for Data

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Manage episode 477560944 series 3409705
Content provided by MIT CISR. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MIT CISR 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.
Barb Wixom reads MIT CISR's April 2025 research briefing, which she co-authored with Nick van der Meulen and Cynthia Beath. See the text version and related content at https://cisr.mit.edu/publication/2025_0401_DataProductMindset_WixomVanderMeulenBeath. Abstract: Today, by adopting a product mindset for data, organizations hold people accountable for the payoff of data investments over time. Data assets and data solutions represent two distinct types of “data products.” Organizations can use three sets of product management practices to more effectively generate returns from their data assets and data solutions: practices for satisfying data consumers, practices for setting prices, and practices for sustaining profits. This briefing illustrates these practices using examples from information businesses.
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90 episodes

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Manage episode 477560944 series 3409705
Content provided by MIT CISR. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MIT CISR 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.
Barb Wixom reads MIT CISR's April 2025 research briefing, which she co-authored with Nick van der Meulen and Cynthia Beath. See the text version and related content at https://cisr.mit.edu/publication/2025_0401_DataProductMindset_WixomVanderMeulenBeath. Abstract: Today, by adopting a product mindset for data, organizations hold people accountable for the payoff of data investments over time. Data assets and data solutions represent two distinct types of “data products.” Organizations can use three sets of product management practices to more effectively generate returns from their data assets and data solutions: practices for satisfying data consumers, practices for setting prices, and practices for sustaining profits. This briefing illustrates these practices using examples from information businesses.
  continue reading

90 episodes

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