A data warehouse lies at the base of any business intelligence (BI) implementation project. And if you are designing your data warehouse to help you visualize your company's most relevant data (as well as streamline workflows — which can help your company cut down on redundancies significantly), then you need to map out all the areas where there is a potential for your project to fail, before you begin building.
In this article, Himanshu Sareen, CEO at Icreon Tech, has identified five design mistakes that companies should avoid.
Data only becomes a meaningful and valuable asset when organizations can transform it into actionable insights. ... More >>
As the availability of data exponentially increases, unprecedented opportunities exist to do all kinds of amazing things, but these opportunities also come with data wrangling challenges. ... More >>
Eight enterprise data management requirements that must be addressed in order to get maximum value from your Big Data technology investments. ... More >>