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Featured Stories

7 predictive analytics use cases that improve customer service and operational efficiency

A practical list of predictive analytics in customer service use cases, including churn prediction, routing, prevention, staffing, fraud, and retention treatment.

Why AI-ready data modeling decides model accuracy and spend

A practical guide to data modeling for AI with clear advice on grain, identifiers, time logic, contracts, storage cost, and production drift.

An AI governance operating model that protects revenue

Large enterprises can set up AI governance as a delivery operating model with risk tiers, embedded controls, audit records, and quarterly value metrics.

Why the CMO to CFO trust gap is a data architecture problem

This piece explains why CMOs and CFOs disagree on attribution when sales and marketing data live in separate systems, and how one governed data estate resolves reconciliation.

AI strategy that returns capital within 12 months

A practical guide to setting a finance target, sequencing use cases, funding releases, and moving an enterprise AI strategy into production within 12 months.

A migration path from Segment Hightouch and Amplitude to Databricks CustomerLake

Migration planning for Segment, Hightouch, or Amplitude centers on contract renewal timing, governance continuity, cost reduction, and keeping campaigns live in Databricks CustomerLake.

How to build scalable data engineering architecture without added complexity

Data engineering architecture, pattern selection, governance, and platform standards are framed around scaling shared platforms without extra operational drag.

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