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Manual data preparation takes a lot of time and continues to burden data analysts! In a survey that we conducted, over 60% of an analysts’ time is spent on the data preparation needed for proper data analysis. That’s a lot of time spent on data preparation rather than on the more important part of data analysis and visualization in order to generate deeper insights. And much of this time spent is on inefficiencies in preparing the data itself. Unfortunately, these inefficiencies cost your organization a lot of money.
Analysts need a better way to prepare, blend, analyze, and visualize data in order to be more efficient when it comes to data preparation and saving money for their organization.