CHALLENGE
Insights limited by fragmented data
A leading European provider of innovative digital payment solutions for individuals, businesses, and financial institutions was struggling with slow decision-making and no unified view of customer interactions.
Aiming to enhance business operations with actionable insights by deploying data and AI platforms, they faced challenges caused by:
- fragmented data from diverse sources
- hidden legacy dependencies
- siloed systems across the organization
To enable data-driven insights and pave the way for future AI capabilities, they needed to transform both their data and its governance. However, internal politics meant that a large-scale program was not an option, requiring an out-of-the-box approach.

SOLUTION
Enabling self-service insights
7N delivered a self-service platform with minimal additional resources, transforming the client’s data and governance while scaling across the organization with a bottom-up approach.
Evaluated systems and processes to understand operational needs and assess necessary changes
Started by creating working prototypes for 1-2 teams to deliver business analytics functionalities within months
Developed self-service platform with a data mesh approach, and modern data stack (Databricks + dbt)
Unified and integrated data from Hubspot, SAP, and Zendesk into self-service platform
Built internal support through proven business value, scaling incrementally through organic demand
Onboarded teams via training sessions, building capabilities and ownership to establish data governance
IMPACT
From data chaos to business impact
With a focus on business value, the solution achieved the client's first ever 360° customer view, empowering business teams with real-time insights through self-service tools and delivering impact across the organization:
Enabled proactive identification of opportunities through real-time insights
Enhanced sales targeting and customer success strategies
Improved resource allocation based on integrated business metrics
Drove scalability through replicable patterns and internal advocates
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