Case Study: a large district heating operator evaluates business ideas 4x faster with Visplore

How a large district heating operator validated his operational data and explored future business services

A large district heating operating company faced challenges in validating a massive five-year dataset containing 430 time series collected at minute resolution. The data had quality issues, and their innovation department, led by a domain expert without advanced data science skills, needed to cleanse it and explore its potential for new business services. They used Visplore to address these challenges.

Visplore enabled the rapid identification of data issues, like non-monotonic meter values, and facilitated the exploration of data for prototyping new business offerings. The solution accelerated the data validation and evaluation process from two months to just two weeks, allowing the domain expert to assess new business ideas and optimization potential four times faster without relying on data science specialists.