A global parking and mobility technology company operating across Europe and the U.S. had built a complex financial data environment across multiple brands, partners and countries. Payment gateways, reservation platforms, operator and partner feeds, settlement processors, banking systems and ERP all generated data in different formats and structures, leaving critical financial information scattered across applications, databases, partner files, spreadsheets and reporting tools. Before reconciliation could even begin, teams had to manually extract, standardize, transform and validate data, creating high operational effort, longer onboarding cycles and growing ETL complexity while limiting the organization's ability to build an AI-ready finance foundation.
