Every integration opportunity is a choice between missed revenue and expensive custom development.
Partnership growth hits integration walls. New supplier relationships, acquisition integrations, and data partnerships stall waiting for development resources. By the time technical teams can connect systems, business opportunities have moved to competitors who can integrate faster.
Simple connections become expensive projects Each connection adds to technical debt. Funding cycles, contractor hiring, custom development, and maintenance costs compound. Basic data connections require enterprise budgets and enterprise timelines.
Business rules need engineering tickets Changing margin calculations, updating product categories, or modifying data transformations requires development work. Business teams lose agility when rule updates go through engineering backlogs.
Custom integrations create vendor lock-in Once you've built specific connections to systems and partners, switching becomes prohibitively expensive. Integration investments lock you into technology choices that may not serve future needs.
Context-aware AI to power precise data mappings
datathere interprets your data semantics and business rules, not just field names, to generate mappings that handle real-world complexity and data anomalies automatically.
Ready to see it in action? Book a live demo and try with your own data.
