How Rabobank, Vattenfall and SBB created stronger data culture with Piano Analytics

Rabobank, SBB, and Vattenfall operate in different industries – banking, transportation, and energy. Yet they faced the same core challenge: as digital services expanded, data became fragmented, more difficult to use, and harder to trust.

Each organization set out to build a stronger analytics foundation – one that supports faster decisions, better insight, and governance that stands up against the highest privacy standards.

Challenge

Fragmented data and inconsistent definitions across teams
Limited visibility into full customer journeys
Analytics bottlenecks within small analyst’ teams
Slow reporting cycles that delayed action
Rising privacy and compliance requirements

Solution & Results

1. One reliable source of truth

Within 3 months, together with Piano, Rabobank built a model that was unified, scalable, and capable of handling millions of interactions, while being GDPR-compliant.

Swiss Federal Railways (SBB) went from complex to centralized tracking across multiple digital and physical touchpoints – with standardized metrics and shared structure across teams.

Vattenfall aimed to build a strong experimentation culture but struggled with inconsistent processes within different teams. Using Piano, Vattenfall created a unified data catalogue, including metrics and their naming. This made experiments comparable – bringing more clarity and consistency to the process, with one experiment leading to a 16% conversion uplift and a six figure ROI.

2. Access to full customer journey

All three organizations created a connected view of how customers move across touchpoints.

Teams at Rabobank were able to identify friction points, validate changes, and improve conversions. For example, they discovered an 80% drop-off point in its car insurance application flow that traced to unnecessary login prompts.

SBB uncovered demand from audiences they hadn’t previously prioritized. This led SBB to create multilingual content to support travelers before they arrive in Switzerland.

Vattenfall used web and app journey insights to help teams pinpoint where users convert and where they drop off and detect issues, reducing incident response time by 90%.

3. Stronger data culture

Rabobank expanded analytics access to 1,350+ employees and migrated 90+ Power BI dashboards into Piano. Dashboard build time dropped by 88%, freeing analysts to focus on higher-value work.

Features like Boards and Piano AI Reveal enabled SBB teams to answer questions independently with no technical knowledge. With less time spent pulling reports or explaining metrics, analysts could focus on working alongside teams, making data become part of everyday decision-making.

Vattenfall trained 120+ employees, saving 32 hours per month in manual reporting and enabling faster, more consistent experimentation across marketing and product teams.

"What we see is a lot of people using Piano Analytics in reports. In monthly sprint calls, we see screenshots of dashboards – it goes to show how easy it is to use and adopt in daily practice." — Anthony Derrick, Digital Analyst, Vattenfall

4. Faster decision-making

At Rabobank, faster anomaly detection improved incident response time by 90%, helping teams resolve issues before they affected customers at scale.

At SBB, improved visibility supported digital sales growth by 29% CAGR and clearer prioritization of digital initiatives.

At Vattenfall, 100+ experiments – including one delivering a 16% conversion uplift and six-figure ROI – demonstrated how structured measurement accelerates measurable outcomes.

5. Privacy-first, compliant analytics

At Rabobank, a GDPR-compliant framework now supports millions of interactions, reducing regulatory risk while strengthening internal confidence in digital reporting and decision-making.

For SBB, strict data protection standards removed operational pressure and increased transparency. Teams can clearly explain what data is collected and how it’s processed.

At Vattenfall, structured governance across teams and markets ensures experimentation and optimization take place within a compliant framework, giving teams the freedom to move quickly while staying in control.