Case Study: Danske Bank achieves centralized, secure access to enterprise open-source data science tools with Anaconda

Centralizing Secure, One-Stop Access to Open-Source Software Across the Enterprise

Danske Bank, a Copenhagen‑headquartered banking and financial services firm with 22,300 employees serving more than five million customers, needed to centralize and secure the use of open‑source software across IT operations, data scientists, and product owners. Facing lack of control over data‑science processes, one‑off tool installations, and difficulty managing code changes, the bank adopted Anaconda to provide curated, enterprise‑ready access to Python and open‑source data‑science packages.

Anaconda implemented a central repository, governance and CVE‑filtering, separate channels for user groups, and enterprise support for Python libraries and frameworks (e.g., PyTorch, TensorFlow, pandas, Jupyter), simplifying account provisioning and package installation. As a result, Danske Bank achieved secure authentication for OSS libraries, significant workflow efficiencies, easier user management, and sustained support for 90 production models that drive upsell, cross‑sell, and marketing propensity decisions — accelerating time to market and improving customer outcomes.

Danske Bank

Dinesh Singh

Senior Data Scientist