Data automation
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.”
Learn what could have prevented these:
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 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.
The authors
Nick and Neelesh learned a lot about data problems leading product and data science at Adobe/Marketo, helping the company’s more than 8,000 customers manage many terabytes of data and trillions of transactions. They applied that knowledge to Syncari’s data automation platform. They have each spent over 20 years working on these problems.
CEO, Syncari
CTO, Syncari
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