Data automation

Having trouble integrating backend systems?

The problem is that every one of those systems—CRM, ERP, HCM—has a different data model. They don’t integrate and this causes mismatches, sync errors, and discrepancies that cause real harms to the business. For example, halting your M&A transaction or digital transformation initiative. To circumvent these issues, try a method we call “data automation.”

Backend systems issues can wreck your digital transformation

Learn what could have prevented these:

  • J&J lost $25 million on a failed cloud standardization
  • Leaseplan lost €92 million on failed tech upgrades
  • Molson Coors’ lost $100 million on an ERP consolidation
  • Revlon’s faced a class-action lawsuit for its failed merger integration

Modern business system architectures contain a fatal flaw

Every business software platform has its own data model and none match. That creates what’s known as runaway data fragmentation. You cannot fix this with CDP, ETL, MDM, or any other acronym—and if you try, the maintenance costs are exponential. 

The No-Code Way to Optimize Your Enterprise Tech Stack

The number one reason transformations fail is faulty software architecture.
How can you ensure this doesn’t derail your digital transformation?
The fix: control the flow of information across all your systems

In this guide, we share how to prevent backend systems issues from derailing your digital transformation initiative or M&A transaction. It offers a new model for connecting it all—data automation.