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 ...

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 ...

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 ...

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.

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 ...

A data warehouse is a central repository of corporate data derived from operational systems and external data sources. The main function of a data warehouse is to support strategic business decisions ...

Since the 1990s, organisations have gathered, processed and analysed business information in data warehouses. The term “data warehouse” was introduced to the IT mainstream by American computer ...

We can all agree on one thing: nobody likes to wait. When we go to the airport, we like our flights to be on time, and when we head to the grocery store, we want our ripe avocados to be in stock.

A data warehouse lies at the foundation of any business intelligence (BI) system. But if this foundation is flawed, the towering BI system cannot possibly be stable. Given BI’s importance as a ...