Data strategy is shifting upstream, moving from how organizations visualize data to the data that supplies those visualizations. In this episode, Chris Tabb, Co-Founder and Chief Commercial Officer of LEIT DATA, joins us to explore why traditional ROI thinking fails data teams, how the friction framework changes how organizations build business cases and what the emerging context layer means for AI-ready data architectures.
KEY TAKEAWAYS
00:00 Introduction.
02:50 Dashboards only create value when they drive a clear business decision.
05:15 Data strategy is shifting from visualization back toward the quality of the underlying data.
13:30 Business value is a positive evidence effect on business objectives, not a bottom-line metric.
15:10 Friction, measured by time, effort and frequency, is the foundation for a data business case.
17:00 Force multipliers solve a problem once and yield compounding returns across the organization.
22:10 Reading the annual report first will anchor any data project to the business's actual objectives.
26:30 The context layer unifies ontologies, knowledge graphs, semantic layers and vector databases under one concept.
28:30 Scoring and tuning prompt context is how organizations get more accurate, consistent AI outputs.
35:10 Meta metadata, data about the data about the data, is where enterprise value now lives.
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RESOURCES MENTIONED
Chris Tabb:
https://www.linkedin.com/in/chris-tabb-mean-data-streets/
LEIT DATA LinkedIn:
https://www.linkedin.com/company/leit-data/
LEIT DATA website:
https://leit-data.com/
O'Reilly book by Joe Reis and Matt Housley [Fundamentals of Data Engineering]:
https://www.amazon.com/Fundamentals-Data-Engineering-Robust-Systems/dp/1098108302
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