Data Model for Ops & Business Decisions
How well does your data model support both operational execution and business decision-making?
Key Takeaways
- The largest share of organizations have their data model mapped primarily at the infrastructure level, indicating that most data models are still oriented around technical assets rather than being structured to directly support business decision-making.
- A significant portion of organizations describe their data model as technical in nature, reflecting that data is largely organized for operational or engineering purposes, with limited direct translation into business-facing insight.
- Fragmented and unified data models represent equally sized smaller groups, showing a divide in the market between organizations still working with disconnected data across systems and those that have achieved a single model serving both operational and business needs.
- The unified segment represents the most mature end of the spectrum, suggesting that only a limited part of the market has fully bridged operational execution and business decision-making within one coherent data model, leaving room for improvement across most of the market.
Compare your company
Take the MSP Operating Models survey to compare your organization's data model maturity with benchmark data.
Take the survey