Fabric Real-Time Intelligence & Eventstreams
Most “we need real-time” requests are actually a refresh-frequency problem. Five genuine signals for Eventstreams and when scheduled refresh is enough.
Power BI HIPAA Compliance for Healthcare
A signed BAA covers Microsoft’s half of HIPAA. Role-scoped RLS, PHI access monitoring, and audit log retention cover yours and that’s where most violations happen.
Power BI Governance for FCA & SOX Compliance
CA needs a reconstructable access trail. SOX needs separation of duties. Both demand the same thing from Power BI – a configuration most deployments haven’t actually built.
Power BI Governance Business Case & ROI
“We need better governance” doesn’t win budget. Cost of inaction wasted capacity, reconciliation hours, compliance exposure framed in dollars, does.
Power BI Adoption Tracking: Prove BI ROI
Power BI’s native usage data has a retention limit and isn’t built for board conversations. The adoption metrics that actually prove BI ROI and how to track them over time.
6 Warning Signs of a Power BI Governance Gap
ix warning signs your Power BI estate has outgrown its governance workspace sprawl, conflicting KPIs, no activity monitoring and the five tenant settings to fix first.
Scrum vs Kanban for Data Teams
Neither framework is wrong for data work each fits a different slice of it. Where Scrum fits, where Kanban fits, and the hybrid most mature data teams run.
Build a Data Team Backlog That Delivers Value
Five work categories, no shared definition of value – the recipe for prioritising by whoever asked most recently. RICE, WSJF, reserved capacity, and triage for data teams.
Incremental Delivery: Bronze to Gold Fast
Building all Bronze then all Silver then all Gold is waterfall in Agile clothing. How to slice vertically and ship a real Gold output every sprint instead of waiting months.
The Metrics Every Head of Data Should Track
Sprint velocity measures estimation accuracy, not delivery performance. Four DORA equivalents for data teams, plus the quality and adoption signals velocity never surfaces.
What a Data Sprint Retrospective Should Cover
Generic retro questions produce generic answers. Four failure patterns every data retro should ask about directly and why checking last sprint’s action items matters most.
Why Data Teams Miss Deadlines & How to Fix It
Seven recurring deadline causes – schema changes, infra blocking, ad-hoc overload, big-bang delivery, lagging metrics, unaddressed retro patterns, staffing gaps and the fix for each.