Google Data Studio is a beautiful visualization tool that turns your data into compelling story-telling reports. But before you can visualize your data, you have to collect it, clean it, and validate it. This is where Keboola comes in. Keboola is the Data Stack as a Service (DaaS) platform that helps you with all your data operations - from building and automating ETL pipelines to data governance.

In the era of big data, the world is producing more information than it can consume. Every minute of the day: Smart companies took notice of the growth in data and turned it into an opportunity for company growth. But having a lot of data is just part of the recipe. You also need to have technical data experts, who can turn the raw data into manageable operations that deliver revenue-generating insights. This led to the job roles of the data engineers and data scientists, that joined data teams.

Data analytics is invaluable to companies that want to drive growth. Research from giants like McKinsey, the Financial Times, and Google confirms it: Companies that rely on data analytics to drive business decision-making grow 2.5x faster than their lagging competitors. So how does descriptive analytics fit into the wider frame of data analytics?