Traditionally, enterprise data has been kept in information silos that are physically separate from other data repositories and serve specialized functions. Enterprise-wide reporting was difficult at ...

Data Warehousing is the storage of big data. Data mining is the analysis of the collected data in order to find trends in the ...

AI-enabled analytics are transforming healthcare from static data to real-time insights. A driving force behind this shift, Kiran Veernapu is modernizing systems to improve patient outcomes and ...

Organizations that really want to take advantage of a higher performance, more agile and lower cost data warehouse architecture, should implement master data management (MDM) to improve data quality.

I talk to a lot of different businesses about their data, and, without fail, some form of the same question always comes up: “What is the most common reason you see data warehouse projects failing?” ...

The Boston College Enterprise Data Warehouse (EDW) supports reporting and analytics over a broad spectrum of University data. Developed in 2003, the EDW has advanced in terms of content, information ...

According to Gartner, Inc., CIOs need to familiarize themselves with nine key trends in data warehousing and how they will impact the cost-benefit balance of technology deployed to deliver business ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Data lakes are cool, but you don’t have to jump in head-first. It’s easy to start by dipping ...

Learn how one higher education institution is modernizing and strengthening its endowment and fundraising strategy by ...

Data warehouses are relational databases that act as data analysis tools, aggregating data from multiple departments of a business into one data store. Data warehouses are typically updated as an ...