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 ...

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 ...

Application-based, file-based, and block-based migration all have their own merits and use cases. Choosing the right solution starts with understanding their differences. Data migration is a critical ...

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 ...

Cybercriminals have leveled up. No longer are they disaffected hoodie-wearing hackers crafting viruses in their parent’s basement. Today’s cybercriminal is socially savvy, organized and well-funded.

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 ...

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 ...

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 ...

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 ...