Explore stories, strategies, and insights from the people powering Pentaho’s mission to simplify data chaos. Discover how smart simplicity helps organizations around the world get data-fit and unlock new possibilities in the AI era.
By Tim Tilson
Snowflake powers analytics at scale — but it won’t clean up zombie tables, stale datasets, or dark data that inflate costs and compliance risk. Pentaho Data Optimizer automates lifecycle management, enforces governance, and reduces spend — without breaking your dashboards.
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Published on: September 17, 2025
By Sandeep Prakash
Open-source data integration tools may get you started, but they can’t keep pace with today’s security and compliance demands. Enterprise Edition closes the gaps with continuous patching, governance, and peace of mind.
Published on: September 9, 2025
By Richard Tyrrell
With data scientists spending up to 80% of their time on prep instead of analysis, organizations risk massive opportunity costs—making automation and trusted data access essential to maximizing ROI.
Published on: September 8, 2025
By Pentaho
Open-source was a great start, but it can’t keep pace with modern security and compliance demands. Pentaho Enterprise Edition provides a seamless migration roadmap — with enterprise-grade protection, governance, and support you can rely on.
Published on: September 5, 2025
By Joshua Wick
Conflicting global retention rules like GDPR, HIPAA, SOX, and DORA make compliance a maze, but centralized governance and automation through Pentaho Data Catalog help organizations simplify oversight, avoid fines, and reduce regulatory risk.
Published on: September 3, 2025
By Kunju Kashalikar
A modern data marketplace transforms how enterprises scale AI by bridging producers and consumers with trusted, governed data products that deliver speed, quality, and confidence.
Published on: August 18, 2025
New insurance fraud schemes are outpacing outdated defenses, but data-driven approaches like real-time analytics and cross-industry intelligence can help insurers protect profits, stay compliant, and rebuild customer trust.
Published on: August 11, 2025
Data lineage has become essential for AI success, giving organizations the ability to trace data from source to decision, ensure compliance, improve quality, and build trust in every outcome.
Published on: August 4, 2025
Discover how data governance and quality evolved from COBOL systems to modern AI-driven platforms—and why they’re vital to building trusted data today.
Published on: July 28, 2025
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