It's impossible to pin down the exact date when data began driving business decisions, but the concept has been around for nearly two decades (paywall). Large corporate implementation is a bit ...

Organizations today face many challenges when optimizing their Maintenance, Repair and Operations (MRO) data with their current technology stack, which may include a mix of ERP software and supply ...

The concept of delivering data as a product pervades many data strategies of organizations looking to optimize efficiency and positive business outcomes. This idea, however, maintains a level of ...

Prior to the advent of big data and cloud approaches to handling large volumes of data, “data science” wasn’t a term. On top of that, every use case that fell into the category we now call data ...

Today’s data-driven marketing reality is practically unrecognizable compared to the industry landscape of just five years ago. The number of marketplace shifts that have happened in that seemingly ...

The authors identified challenges to cross-sector data sharing and the approaches used to overcome these challenges in the Mid-Ohio Farmacy, a partnership to address food insecurity. Objectives: To ...

This report will examine how privacy and confidentiality can be maintained when sharing and analyzing blended data. Using case studies, the report will explore current and emerging frameworks ...

For years, every app that claimed to be an Obsidian alternative ended the same way for me; I tested it for a few days, appreciated a few ideas, and went right back to my existing vault. Obsidian ...

Companies around the world are engaged in a digital data gold rush, panning the digital economy for our personal data, sifting flecks of it in online pools and streams of our preferences, choices, and ...

Data migration involves a lot of moving parts. This guide outlines 6 different data migration approaches and the best use cases for each of them. Organizations often need to develop tailored data ...