Blog
Insights on data engineering, governance, and building data-driven organizations.
AI-Powered Permissioning: From One Week to One Hour for Healthcare Data Access
How Narona Data deployed an agentic permissioning system that scanned thousands of data assets, reduced credentialing from one week to one hour, and cut overprovisioning by 80%.
Tony Zeljkovic
2026-04-27
From 500 Dashboards to Self-Service: AI-Driven BI Migration and Autonomous Analytics
An enterprise with 500+ Looker dashboards faced week-long turnaround times and a 3-month p95 backlog. Narona Data led an AI-driven migration to Streamlit on Snowflake and built 12 self-service analytics agents — cutting tech costs 30%, headcount costs 50%, and increasing data capacity 5x.
Tony Zeljkovic
2026-04-06
The Supply-Demand Matrix: How to Position Your Data Team for Maximum Impact
It's shocking how few consultants and data leaders properly analyze supply and demand for their services. Demand alone tells you nothing — the balance determines everything.
Tony Zeljkovic
2026-03-20
Unlocking ROI from Your Data Stack
Most companies are sitting on a gold mine of data but struggling to turn it into measurable business value. Here's how to change that.
Tony Zeljkovic
2026-03-15
Why Your Data ROI Is Under Scrutiny (And What to Do About It)
With the unwinding of decades of zero-interest funding, the ROI of data departments across industries is under heavy scrutiny. Here's how to move beyond dashboards to real business value.
Tony Zeljkovic
2026-03-10
Linear vs Exponential: How to Bet on the Right Technologies
Some technologies evolve predictably. Others rewrite everything. The distinction determines whether your experience works for you or against you.
Tony Zeljkovic
2026-03-01
The Future of Data Governance is Automated
Manual data governance processes are a ticking time bomb for growing organizations. Here's how automation changes the game.
Tony Zeljkovic
2026-02-28
Why Your Data Recommendation Didn't Land (And How to Fix It)
You can be prepared, practiced, and genuinely knowledgeable, and still lose a room — not because your material was bad, but because you made the audience work too hard to extract what matters.
Tony Zeljkovic
2026-02-20
How to Speak the CFO's Language: Translating Data Work into Business Value
A finding can be rigorous, correct, and unusable — because what counts as evidence, what signals competence, and what feels safe to act on are all audience-specific.
Tony Zeljkovic
2026-02-10