Enterprise data warehouses, or EDWs, are unified databases for all historical data across an enterprise, optimized for analytics. These days, organizations implementing data warehouses often consider ...

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 ...

In healthcare, business intelligence is often only as good as the data warehouse that supports it. The challenge comes in creating a high-quality data warehouse to ultimately aid organizational ...

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 ...

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 ...

Salesforce has more than 150,000 customers, making it one of the most popular and most powerful customer relationship management (CRM) platforms on the market. Organizations need a 360-degree view of ...

Case Study 1: Data warehouse and cubes open door to information at Weiser Lock David Edwards, a data warehousing specialist, had written 300 custom reports for end users at Weiser Lock when he ...

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 ...

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?” ...

These tips are part of our How to Sell a Data Warehouse to Upper Management Checklist, which you can download in our Knowledge Netowrk. The typical ROI-based business case will not work well for ...