Project content
-
Identification of existing data sources and data (structured/unstructured, internal/external)
-
Perform initial analysis based on a data science approach (machine learning)
-
Check existing solutions on the market
-
Agile development of the prototype
-
Use of the prototype at a pilot location
-
Setting up the technical infrastructure/architecture
-
Further development of the prototype into an MVP
-
Implementation of the MVP in the technical infrastructure
-
Training of users and application managers
-
Handover of the solution to the customer
-
Global rollout of the solution
Interested in hearing more about this challenging project? Contact us!
