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Germany: Tenders/EnBW Energie Baden-Württemberg AG/Self Service Data and Analytics Tool as a SaaS Solution

  1. Competition notice published

    Mar 31, 3:08 PMMarch 31, 2026 3:08 PM

  2. Contract start date

    Sep 1, 12:00 AMSeptember 1, 2026 12:00 AM

  3. Result notice published

    Oct 23, 10:48 AMOctober 23, 2026 10:48 AM

  4. Contract end date

    Aug 31, 2029 12:00 AMAugust 31, 2029 12:00 AM

Brief

Self Service Data and Analytics Tool as a SaaS Solution

Cancelled

The competition has been cancelled.

Procedure
With negotiationTwo stages
Agreement
Buying servicesuntil Aug 2029

Brief

EnBW Energie Baden-Württemberg AG cancelled the procurement of a SaaS self-service data and analytics platform for its trading teams and related business functions. The service was intended to support secure, governed data processing and collaborative analytical workflows across trading, portfolio and risk management, quantitative analytics, data science and support functions, with both code-based and low-code/no-code capabilities for technical and non-technical users. Three bids were received.

IT- drift og vedlikehold

Result

TED
  • Reason for cancellation
    Annet
  • Number of bids
    3

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Previous winners

  • Who are you up against?

    The suppliers who have won similar contracts at EnBW Energie Baden-Württemberg AG

From the notice

  • EnBW Energie Baden-Württemberg AG intends to procure a multi-persona Self-Service Data and Analytics Platform to enhance data accessibility, improve cross-functional collaboration, and strengthen analytical capabilities across the Trading business function. EnBW intends to procure a self‑service data and analytics Software as a Service (SaaS) platform to support analytical, modelling and data‑driven activities across its trading teams and associated business functions. The objective is to obtain a secure, scalable and enterprise‑grade solution capable of operating within a complex, regulated and data‑intensive trading environment. The SaaS platform will be used by trade, portfolio management, risk management, quantitative analytics, data science and supporting business functions. The tool is expected to support structured data processing, development and operation of analytical workflows, and collaborative usage across business units. It should enable both code-based and low-code/no-code usage patterns, allowing technical users (e.g. data scientists and quantitative analysts) to develop advanced analytics while also enabling non-technical users to configure, execute and monitor workflows within governed environments.

  • Contact

    f.yakoubou@enbw.com
  • Type
    Result · Prequalification
  • Main code
    Software-related services
    72260000
  • 48000000Software package and information systems

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