On-Site Review of Data Science And Engineering Capabilities

Customer challenge: Unclarity on AI maturity of the company and relevant next steps to advance AI and data science capabilities.

Provided solution: Two-day AI Maturity Scan of the organization resulting in a clear baseline with advised next steps.

Outcome: Conclusions of the scan served as a basis to improve data science practice. Eneco decided to hire more senior data scientists to support the current data scientists and build upon their experience.

Background info about Eneco

Eneco is an integrated energy group with more than 7,000 employees, offering comprehensive solutions for, and together with, its customers and partners. Eneco invests in well-maintained networks, onshore and offshore wind farms, solar energy projects and biomass plants. Eneco operates from bases in the Netherlands, Belgium, the UK, France and Germany.

Benchmark of Data Science and Engineering Capabilities

For some time, Eneco has been building up its Data Science practice. To find out where they stand in comparison to other organizations, Eneco asked GoDataDriven to perform an AI Maturity Assessment of their Data Science and Engineering capabilities.

The goal of the quick scan is to highlight the areas where your company can grow to become truly data driven. The explosion in popularity of data science and big data has often spurred ad-hoc solutions and inefficient workflows. This, in turn, often prevents advanced models to be taken into production.

Based on the outcome of this audit, Eneco has been able to improve their organization, IT, and skills.


Public | Utilities

Project type

AI Maturity Assessment

Technologies used


“I’ve personally experienced the professionalism of GoDataDriven’s AI Maturity scan. The recommendations can be directly applied to the organization, IT, and development of skills. The AI Maturity Scan provided us with fresh insights and concrete recommendations for our organization.”

Ronald Root Manager Data Science and Business Innovation
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