Today’s business are trying to become more data-centric or to develop their data culture. To do so they have to start leveraging insights from their data. Therefore, ETLs (extract, transform, and load) are essential in data integration strategies. They allow businesses to gather data from multiple sources and consolidate it into a single, centralized location. They are usually created with two main objectives in mind:

Managing a continuously increasing number of  ETLs  is one of the biggest challenges that companies encounter during their life-cycle. The numbers sometimes can, little by little, explode and get fairly out of control. Many companies are not yet geared up to achieve their data-driven business ambitions.

So most of the ETL projects will not go as smooth as the companies had hoped. Our experiences taught us that managing a lot of ETLs creates 3 big challenges inside a company. Let us explain those challenges with a concrete example from one of our use case inside the insurance sector. Managing ETL's are:

We can conclude from this example and our experiences that many companies are not yet geared up to achieve their data-driven business ambitions. Digazu is a technological brick that will help companies leveraging the full value of their data, by extracting data only once, sharing the transformations on data, and loading transformed data multiple times. It rationalizes the utilization of data and lowers its cost. 

Discover how Diagzu can help you with your ETL challenges.