Data warehouse design is not a short-term investment and it’s important to understand that the process will rarely show results in a limited time frame. By looking toward the future, you’ll be more ...

Data warehousing can be an expensive project with high costs and a great return on investment — if executed properly. Data warehousing is a process that connects several databases together in a single ...

If you’re planning to create a data warehouse, make sure you create one that is cross-functional and provides a long-life foundation for data provision and decision support. This means covering the ...

Healthcare organizations have enterprise-wide data sets of which data governance can be time-consuming and labor intensive. Yet, healthcare needs to move towards the 21st century in terms of data ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A data warehouse is defined as a central repository that allows ...

About three months ago, most of the supermarket chains in the Boston area dispensed with clip-out discount coupons. Now, advertising circulars carry only announcements of the week's specials and ...

A data warehouse is a subset of an organization's data that contains only essential information that supports strategic goals. This is often stored as raw data that has been organized in a way to make ...

The problem.When Mark Hulse, current vice president and CIO, joined H. Lee Moffitt Cancer Center & Research Institute in Tampa, Fla., around 2010, the medical center already had a working data ...

Essentially, a data warehouse is an analytic database, usually relational, that is created from two or more data sources, typically to store historical data, which may have a scale of petabytes. Data ...

Editor’s note: The following column by James Beale, operations manager at Invicta Pallet Racking, is part of Modern’s Other Voices column, a series featuring ideas, opinions and insights from ...