A major Swiss insurance provider — operating in a highly regulated environment — was facing mounting data complexity, rising operational costs, and sluggish delivery cycles. Their business intelligence (BI) platforms had grown organically over time, resulting in duplicated tooling, siloed teams, and unclear ownership. The shift toward the cloud presented an opportunity to rethink their data strategy from the ground up.
We led the redesign of their BI platform, moving from legacy SAP tools to SAP Analytics Cloud, SAP HANA, and ultimately toward Microsoft Synapse Analytics for future flexibility. This shift to Platform-as-a-Service (PaaS) architecture aligned with their long-term Move2Cloud strategy.
We introduced robust code and release management processes across development and operations teams. Clear ownership, automated workflows, and streamlined deployment cycles reduced complexity and ensured ongoing compliance.
We rolled out SAP Analytics Cloud to a broad group of business users, BI developers, and operational stakeholders, enabling real-time access to consistent dashboards and KPIs. This empowered teams to move from reactive reporting to proactive decision-making.
By rationalizing their business intelligence ecosystem and moving away from costly, redundant infrastructure, the organization achieved over CHF 2 million in annual savings. This was driven by a strategic shift to Platform-as-a-Service (PaaS) solutions, such as SAP Analytics Cloud and Microsoft Synapse, which significantly lowered operating costs, simplified licensing, and reduced the need for in-house infrastructure maintenance.
Following the implementation of structured DevOps processes, version control, and agile best practices, the client’s BI team saw a 52% increase in development throughput. Measured by deliverables per developer per sprint, this gain improved project delivery timelines, reduced bottlenecks, and allowed the organization to react faster to internal reporting demands and regulatory changes — a major step forward in operational agility.
By embedding rigorous DevOps practices, version control, and testing automation into the analytics lifecycle, we helped the client reduce data defects by 72% within a year. This led to more reliable dashboards, fewer rework cycles, and greater audit readiness across regulated domains.
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