Swedbank's Cloud Migration for Advanced Data Analytics with Immuta
Technology Category
- Analytics & Modeling - Big Data Analytics
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Finance & Insurance
- Retail
Applicable Functions
- Quality Assurance
Use Cases
- Cybersecurity
- Time Sensitive Networking
Services
- Cloud Planning, Design & Implementation Services
- Cybersecurity Services
About The Customer
Swedbank is the largest banking group in Sweden and the third largest in the Nordics. It serves roughly 8 million customers with retail banking, mortgage, asset management, and other financial services and products. As part of its digital transformation journey, Swedbank sought to enhance value for its customers by unifying disparate data sources into a single data lake, migrating analytical capabilities to the cloud, uncovering deeper insights at scale, and accelerating time to market of data use cases. The bank's strategic vision for its enterprise analytics platform (EAP) was to build a resilient, scalable infrastructure to enable the widespread availability of advanced analytics while streamlining the analytics process to achieve operational efficiency.
The Challenge
Swedbank, the largest banking group in Sweden and the third largest in the Nordics, was faced with the challenge of increasing operational costs due to its on-premise data stack. The existing solution was not only expensive to maintain but also lacked the flexibility to adapt to new business requirements. It replicated data across siloed platforms, had limited capabilities to separate storage from compute, and lacked support for deep learning and AI capabilities. As part of its digital transformation journey, Swedbank sought to unify disparate data sources into a single data lake, migrate analytical capabilities to the cloud, uncover deeper insights at scale, and accelerate time to market of data use cases. The bank's strategic vision was to build a resilient, scalable infrastructure to enable the widespread availability of advanced analytics while streamlining the analytics process to achieve operational efficiency.
The Solution
To overcome these challenges, Swedbank decided to migrate to the cloud, leveraging a combination of Databricks, Immuta, and Azure. Databricks and Azure’s cloud capabilities were used to build a new enterprise analytics platform (EAP) that would provide deep learning and AI capabilities at scale. The bank could also reduce costs by separating storage from compute while accelerating time to market. Swedbank selected Immuta as its data security platform to integrate with Databricks and provide comprehensive, end-to-end data security. Immuta was chosen for its robust functionality, scalability, and time to value. It provided a unified solution capable of data discovery, auto-classification, authentication, auditing, user and tag syncing, and enterprise support for both role- and attribute-based access control. Immuta’s native integration with Databricks, dynamic data masking capabilities, and compliant data governance met future requirements to scale toward unified data governance.
Operational Impact
Quantitative Benefit
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