10 Risks of IoT Data Management
What Is IoT Data Management? IoT data management refers to the process of collecting, storing, processing, and analyzing the massive…
data management
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…
Eyes on Data: The Value of Data Products and Innovation for AI Optimization
Artificial intelligence has entered a phase that feels both inevitable and strangely precarious. The hype is unmistakable. So is the…
Designing Always-On Data Platforms for a Distributed Workforce
The modern workforce is no longer bound by location, time zone, or corporate networks. Data engineers, analysts, and business users…
How to Be a Data Shaman
My late wife, Becky Dearborn, was very interested in Native American culture, art, and mythology. Through her interest, I’ve acquired a good deal of information…
Data Speaks for Itself: Dating in the Data World
I’m sure that you know an interesting story about dating. Finding that right person is not easy and the journey often…
Reimagining Data Preparation for High-Impact Decision-Making
Data often arrives from multiple sources in inconsistent forms, including duplicate entries from CRM systems, incomplete spreadsheet records, and mismatched…
Data Errors in Financial Services: Addressing the Real Cost of Poor Data Quality
Data quality issues continue to plague financial services organizations, resulting in costly fines, operational inefficiencies, and damage to reputations. Even…
Unstructured Data Management: Unlocking Hidden Value in Enterprise Information
Not all data is created equal. Unlike structured data, which resides in well-defined fields and tables, unstructured data lacks clear…
Eyes on Data: Valuing Data with Data Asset Foundations
“Data is not just information. It is an asset — and it’s time our laws, markets, and institutions recognized it…