The Data Radio Show - Bought to you by the Data Innovators Exchange
Paul Barlow
215 episodes
4 days ago
This Week's article from datapro.news analyses the pervasive and high failure rates plaguing all types of enterprise data projects, including basic analytics and advanced AI implementations. It identifies three primary systemic issues causing these failures: the Hype Trap (lack of defined business problems), the Foundation Fallacy (neglecting data quality), and the Adoption Abyss (insights not being used in decision-making). To address these problems, the article introduces the RAPPID Va...
All content for The Data Radio Show - Bought to you by the Data Innovators Exchange is the property of Paul Barlow and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
This Week's article from datapro.news analyses the pervasive and high failure rates plaguing all types of enterprise data projects, including basic analytics and advanced AI implementations. It identifies three primary systemic issues causing these failures: the Hype Trap (lack of defined business problems), the Foundation Fallacy (neglecting data quality), and the Adoption Abyss (insights not being used in decision-making). To address these problems, the article introduces the RAPPID Va...
The Data Radio Show - Bought to you by the Data Innovators Exchange
19 minutes
2 weeks ago
💻 Debunking Database Management Myths
This episode focuses on debunking pervasive myths surrounding modern data practices, specifically in data architecture, data analytics, and database management. The data architecture sources, from Bernd Wessely, challenge ten common fallacies, arguing against centralised data platforms and the idea of a single source of truth, while advocating for Domain-Driven Design and distributed data concepts like the data mesh. A separate source from Profisee addresses seven fallacies in data analytics,...
The Data Radio Show - Bought to you by the Data Innovators Exchange
This Week's article from datapro.news analyses the pervasive and high failure rates plaguing all types of enterprise data projects, including basic analytics and advanced AI implementations. It identifies three primary systemic issues causing these failures: the Hype Trap (lack of defined business problems), the Foundation Fallacy (neglecting data quality), and the Adoption Abyss (insights not being used in decision-making). To address these problems, the article introduces the RAPPID Va...
