Data management is a multidisciplinary process that keeps data organized in a practical, usable manner. At its most fundamental level, the goal is to ensure an organization’s entire body of data ...

Making the documentation freely available, which is under a royalty-free license, can also improve users’ ability to search for information in data diagrams and e-mail files, Moore said. A ...

Featuring books spanning four continents, these recommended reads provide a global perspective on data journalism.

Having a clear understanding of where your data is being consumed is a critical first step toward being able to secure and ultimately protect it. Using data flow diagrams, it is possible to know the ...

“Nowadays, every company has data, from the multinational giants of IT to the small local breweries,” noted Rosaria Silipo, head of data science evangelism at KNIME. “Some data are sensitive, some are ...

Explore the top data quality tools and software that can help your organization ensure accurate, reliable and consistent data for better decision-making.

Data Analytics Sequence In today’s world, effective business leaders must be willing and able to embrace data-driven decision making. With the BC MBA’s data analytics sequence, you’ll master the ...

Enterprise data management (EDM) refers to the systems and strategies an organization uses to govern its data so that it’s accurate, accessible and secure throughout its lifecycle. It’s far ...

Stating that properly managing business data has benefits isn’t a secret. But, depending on the company, data management might come with more challenges, which can make this process difficult.

Likewise, Atropos Health’s Hyde says that real-time data, real-world data, and AI hold transformative potential for accelerating medical research and improving patient outcomes.

Multi-tenant data management is an essential part of a systems architecture designed for massive scale. It underpins countless business platforms, from commercial software-as-a-service CRMs to ...

Customer data management can be explained as a three-step process to reach the final goal where data is no longer stored in silos and is unified for the company and its employees to launch ...