Changing times have transformed how customers think, what they expect, and how they function. Customers want to receive the value promised to them, but they also want control and the reassurance of accessing information and self-managing their ongoing digital interactions — all without having to wait.

Every company has a fundamental need to effectively manage the information available to it and coordinate as well as harmonize the tasks of its technology and human resources.

Today’s businesses are making attempts to become more data-centric or develop their data culture. In order to do that, they have to start leveraging actionable insights from their data and using them to make decisions and deliver the value promised to customers.

Companies leverage actionable insights to make informed business decisions. In fact, actionable data insights enable companies to take action and drive value.

But in order to garner actionable insights and generate value, one has to carefully extract, transform, and load complex customer data, which is indeed a challenge.

It’s been a year of disruption, adaptation, and innovation. Businesses have been forced to look at how to shift their technological gears to manage customer data and conduct business more efficiently.

Self-service ETL technology has brought a paradigm shift in the way companies use their customers’ data and deliver the value they’ve been promised. It enables business users (with minimal technical expertise) to extract, transform, and load data into data lakes or warehouses.