The data warehousing process is first and foremost about making operational data easily accessible so that management can get answers to business questions in an efficient manner. The first step in ...

Data warehousing has long been the backbone of relational database management systems (RDBMS), primarily designed to cater to transaction processing systems. However, with the explosion of data across ...

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 ...

A healthy data warehousing environment is one that is alive and where several elements come together. Those elements should include a framework upon which the individual projects build, with each ...

If you're not analyzing all the data collected by your ERP (enterprise resource planning) and CRM (customer relationship management) solutions, it might as well be collecting dust on a shelf.

Data warehousing refers to the process of collecting, storing, and managing large volumes of data from various sources to facilitate analysis and reporting. It creates a centralized repository where ...

The true measure of an effective data warehouse is how much key business stakeholders trust the data that is stored within. To achieve certain levels of data trustworthiness, data quality strategies ...

Alexandra Twin has 15+ years of experience as an editor and writer, covering financial news for public and private companies. Natalya Yashina is a CPA, DASM with over 12 years of experience in ...

Click through for five data warehouse design mistakes organizations should avoid, as identified by Himanshu Sareen, CEO of Icreon Tech. Data warehouse design is not a short-term investment and it’s ...