Identifying and Addressing Data Overload
Increased data generation requires modern businesses to manage vast volumes of information. All this data holds immense potential for insights…
Increased data generation requires modern businesses to manage vast volumes of information. All this data holds immense potential for insights…
The modern workforce is no longer bound by location, time zone, or corporate networks. Data engineers, analysts, and business users…
For decades, data governance in regulated financial institutions has rested on a familiar foundation. Policies are documented, standards are defined,…
Data often arrives from multiple sources in inconsistent forms, including duplicate entries from CRM systems, incomplete spreadsheet records, and mismatched…
In my discussions with CIOs over the last several years, they have repeatedly told me that they strongly dislike traditional…
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…
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…
In 2026, data governance has stopped tiptoeing around the edges of organizational strategy and stepped directly into the spotlight, whether organizations are…
Data quality issues continue to plague financial services organizations, resulting in costly fines, operational inefficiencies, and damage to reputations. Even…
AI has moved far beyond the experimental stage. Across industries, organizations are proving that AI can deliver measurable business value when it’s built…