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Optimize your energy consumption costs by screening the current market rates

 

Benefit from a large database of all suppliers

 

Compare tariffs according to your own criteria

 

Adapt your market positioning 

With which tools?

  • With a classification of energy suppliers

    Thanks to different criteria (tariff policies, customer satisfaction, contract duration, sale of green energy...), evaluate different suppliers and establish an inventory of the market.

  • With key figures

    With the integration of strategic data, identify key elements for a defined period or a selected type of contract (price variations, identification of competing offers, etc.).

  • With a follow-up of market evolution

    With continuous monitoring, identify the extremes and averages of market pricing for a defined period and type of supplier (big six, intermediate, small).

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Our publications

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Synthetic data or how to share sensitive data…

For a period of six months, 5 students from Centrale Supélec and ESSEC worked collaboratively with Sia Partners on building a Python library to create fake - which we'll call synthetic - data.
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Introduction to OpenStreetMap: How to leverage…

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Customer churn prediction with Data Science

Thanks to Machine Learning, companies can significantly improve their activities by leveraging their data. Machine Learning is a field of study of artificial intelligence that gives an AI the ability to "learn" from data.

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