Germania – Servicii de software – Self Service Data and Analytics Tool as a SaaS Solution

EnBW Energie Baden-Württemberg AG Alle Informationen zu den Eignungskriterien/ Auswahlkriterien erhalten Sie unter folgendem Direktlink: https://www.tender24.de/NetServer/SelectionCriteria/54321-Tender-19c94d5e099-4d0333c2f92e181b Self Service Data and Analytics Tool as a SaaS Solution "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. Es wird darauf hingewiesen, dass ein Nachprüfungsantrag unzulässig ist, soweit mehr als 15 Kalendertage nach Eingang der Mitteilung des Auftraggebers, einer Rüge nicht abhelfen zu wollen, vergangen sind (§ 160 Abs. 3 S. 1 Nr. 4 GWB). 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. Vergabekammer Baden-Württemberg Datenservice Öffentlicher Einkauf (in Verantwortung des Beschaffungsamts des BMI) 3-malige Verlängerungsoption 01 ••• ••• 23+02:00 neg-w-call t-sme none 2000-01-01+01:00 14:48:55+02:00 [email eliminat] t-esubm 2026-09-01+02:00 [telefon eliminat] anyw-eea EnBW-2026-0018 Durlacher Allee 100 clos-nw DE812334050 [email eliminat] no-eu-funds 76131 32014L[telefon eliminat]:994-DOEVD-83 2029-08-31+02:00 ••• ••• 26 can-standard true 53119 48000000 [telefon eliminat]+01:00 ENG https://www.enbw.com other 802a0ae0-3a63-4170-b597-0a3dda929f59 sektvo [telefon eliminat] eforms-sdk-1.13 DE122 RES-0001 LOT-0000 [email eliminat] 30 a429cca8-f276-46f2-9d3d-2baabee2a4e1 72260000 false Durlacher Allee 93 t:07 ••• ••• 30 electricity services ORG-7005 ORG-7004 Bonn ORG-7001 DEU tenders 2.3 [telefon eliminat] Karlsruhe [telefon eliminat] ted-esen DEA22