Data exploration is the first step of data analysis. It allows us to uncover how the dataset you are working with looks like: ‍ Data scientists, data engineers, data analysts and business users regularly use data exploration as part of their pipeline to understand data, uncover hidden insights and prepare data for further analysis.

Think of a data professional (data scientist/data engineer/business analyst/…), and guess what they do all day. Design big data algorithms? Build state-of-the-art, scalable pipelines? Discover insights that drive business growth? Wrong. Data professionals spend over 40% of their time preparing data before they even start using it for their job. The data preparation process is the most time-consuming task in a data operative’s schedule.

After another round of G2 awards, Keboola is shining brighter than ever. This season, Keboola struck gold where it really counts: in customer service and satisfaction. With a world-class platform, we provide our users with the product and user experience they need to excel in their industry. Here’s a breakdown of the G2 awards featuring Keboola.