PinnedPublished inTowards Data ScienceThe Past, Present, and Future of Data Quality Management: Understanding Testing, Monitoring, and…The data estate is evolving, and data quality management needs to evolve with it.May 252May 252
PinnedTop 10 Data & AI Trends for 2024From LLMs transforming the modern data stack to data observability for vector databases, here are my predictions for the top data…Jan 1826Jan 1826
What Allan Lichtman’s failed presidential prediction teaches us about dataBefore last week, Dr. Allan Lichtman had accurately forecasted 9 of the last 10 U.S. presidential elections.Nov 12Nov 12
Data quality management in the age of AIOver the last 12 months, data quality has become THE problem to solve for enterprise data teams — and unsurprisingly, AI is driving the…Oct 92Oct 92
Your data quality strategy should be automated — here’s where to startDid you know data analysts often spend more time writing tests for data than they do driving value from it?Sep 27Sep 27
Who owns data quality? And when?A practical framework for how to pass the data quality baton across teams.Sep 10Sep 10
Why Third-Party Data is Still Your Biggest RiskIn the AI era, third-party data is your kryptonite. Here’s why and what you can do about it.Aug 151Aug 151
Citigroup Fined $136M for Bad Data. What Can We Learn?Bad data isn’t just a headache — it’s a huge financial risk.Jul 311Jul 311
Published inTowards Data ScienceMost Data Quality Initiatives Fail Before They Start. Here’s Why.Show me your data quality scorecard and I’ll tell you whether you will be successful a year from now.Jul 231Jul 231
Survey Says: Data Quality Management Isn’t Evolving Fast Enough for AIEach year, Monte Carlo surveys real data professionals about the state of their data quality. This year, we turned our gaze to the shadow…Jun 253Jun 253
