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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.

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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.

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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.

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Actionable insights are key enablers for decision-makers. They play a fundamental role in helping companies make confident decisions and improve ease of doing business. For companies to strengthen their ‘decision muscle’ and ultimately drive value, the implementation of extraction, transformation, and loading (ETL) of customer data to deliver actionable intelligence is a significant challenge. 

ETL processes are often difficult to scale.

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This post will help you create a simple step by step ETL process flow within Adeptia.

If you have just started using Adeptia we would recommend that you follow the evaluation guide that has basic examples with detailed steps to proceed.