A comprehensive audit mitigated 10M€+ in distribution-obligation reporting risk and brought visibility to the entire data supply chain.
The utility's reporting and analytics solution couldn't keep up with the business. Poor data quality, limited visibility, and manual error hunting eroded trust between business and IT.
The reporting and analytics solution had multiple issues. Data quality was weak and visibility into the underlying flows was limited - critical decisions had to be made on unreliable information.
The existing system couldn't keep pace with business growth and shifting requirements. Needs outgrew what the platform could carry.
When errors appeared, their root causes were nearly impossible to determine. The company spent significant manual effort detecting and correcting issues, causing frustration and mistrust between business and IT stakeholders.
A comprehensive audit across the entire data supply chain - interviews, root-cause analysis, and a concrete roadmap to fix architecture, reporting, and governance.
We interviewed key people from IT and the business to align on pain points and priorities before any analysis.
We walked the entire data supply chain - business processes, systems, reports, and documentation - to build a full picture of how data moves.
We identified bottlenecks and their actual root causes - not symptoms, but the structural issues that should drive prioritisation of fixes.
A comprehensive compliance audit surfaced risks in distribution-obligation reporting and quantified a 10M€+ financial exposure.
We delivered a concrete improvement plan - new data architecture, more efficient reporting, and a clear governance model - together with a strategic roadmap to execute the change.
A clear view of processes and data flows, mitigated risks, and a governance model that brings IT and the business to the same table.
The compliance audit identified and mitigated 10M€+ of risk - giving the company reliable reporting and a solid foundation to build on.
Data architecture, reporting, and governance unified under one roadmap.
A concrete plan for executing the change - not just an analysis.
Everyone knows who owns which data. Manual error hunting stopped and IT and the business found a shared language.