Data Quality: The Hidden Cornerstone of Digital Transformation Success
As organizations rush headlong into digital transformation initiatives, a critical factor often gets overlooked: data quality. In the race to…
Data Education
Crossing the Data Divide: From Quantum Qubits to Semantic Models
Introduction: Picking Up the Quantum Thread In Part 1 of this two-part series, I confessed that this whole journey was sparked by a…
The CISO’s Recovery-First Game Plan
Chief information security officers (CISOs) have increasingly incorporated cyber storage resilience into their comprehensive corporate cybersecurity strategy, enabling enterprises to recover data…
The Book Look: Designing Data Products: The Data Products Series Volume I
Data products are a very important part of modern data architecture. Author Mario Meir-Huber is writing a trilogy on data products, where Volume 1 is about designing…
Preparing CRM Data for AI: Architecture, Quality, and Governance Considerations
Many enterprise AI initiatives continue to struggle — with 95% failing to deliver ROI due to inadequate data infrastructure and 70% of organizations reporting minimal positive…
The Role of Citizen Data Scientists vs. Data Scientists in Augmented Analytics
If you are an IT professional, a business manager, or an executive, you have probably been following the progress of…
All in the Data: The State of Data Governance in 2026
In 2026, data governance has stopped tiptoeing around the edges of organizational strategy and stepped directly into the spotlight, whether organizations are…
The Good AI: Use Case Determination for Scale, Trust, and Longevity
One of the most common patterns across organizations is this: A surge of excitement around AI, several pilots launched quickly, impressive demos,…
Building a Data-Literate Insurance Workforce: Strategies for CDOs
Data literacy has become a critical skill for insurance professionals at all levels. As chief data officers (CDOs) in the…
Using Artificial Intelligence and Machine Learning to Improve Data Quality in Cloud-Native Data Pipelines
Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of cloud-native…