Success cases
Data wrangling for different applications
Define the value proposition for a data-wrangling tool.
Challenge
Renewable energies and generic commercial applications generate data from different sources, formats, and fields, which require homogenisation.
Much time and inefficiencies are invested in such homogenisation, and establishing ontologies and policies for data collection, governance, and usage takes more work.
Solution
Technology developed by an academic group automates and facilitates solutions to the problems arising from data heterogeneity.
The solution is compared with competing technologies that are available and under development. Business models in the market are evaluated, and their vulnerabilities are detected.
Small demos are developed so that users can see the tool in use. The process is optimised to have a detailed and adapted view.
Result
- The added value of the technology and the redundant points concerning the current offer, in which resources should not be invested, have been determined.
- Gold standards have been identified that set the quality that should be measured to access the market.
“The added value of the technology and the redundant points concerning the current offer have been determined”.
Success case studies in the sector Green energy
success stories Market analysis