Data cleansing and data preparation are not the same. When you are cleaning data, you are removing inaccuracies, invalidities, and junk
Where there is data, there is regulation. Most of all in the financial industry. Banks, insurance companies and financial institutes must
Data, an organization’s intellectual asset, must be treated and regularly enriched to remain useful and valuable. Over 80% of companies we’ve
Data preparation tools have been around for quite some time now. Most of these tools though require users to be proficient
As companies are spending billions of dollars investing in big data with the hopes of turning data into money, the need
Different changes in the world of data have allowed organizations to manage their day-to-day requirements while preparing for big data future,
The key to reducing consumer churn, attracting new consumers, and improving the prospect of upselling or cross-selling within existing consumers is
Confused between ETL and data preparation? Not sure which method to follow? Here’s everything you need to know about ETL vs
As users seek to go beyond canned reports and spreadsheets to employ sophisticated visual analytics to drive decisions and actions, traditional