Validating large sets of monitoring data and rapidly prototyping data-driven innovations plays an important role for introducing new competitive business services.
However, working with process data often recorded at minute resolution over several years is challenging due to its huge amount and considerable data quality issues. In fact, exploring and preparing hundreds of time series is very time-consuming. Steps such as discovering and fixing data problems are often very tedious and require fast dynamic iterations. Consequently, evaluating the suitableness of these data for creating new business services not only requires advanced data science skills but also depends heavily on the expertise of domain experts.
Visplore reduces these challenges to a minimum and enables project managers as domain experts to work with large data sets and evaluate business ideas much faster.