Half as many data errors = more closed-won deals

Jamf's CPQ system was built for one product and never governed as the business grew until we rebuilt the governance layer from scratch.

50%

Fewer Uncaught Errors

Every business challenge has a data layer beneath it.

For Jamf, the maker of software that helps IT and security teams manage and protect Apple devices, that challenge showed up as a CPQ system nobody owned but that grew as they did until quote-to-cash broke.

The Challenge: Broken Data Causing Quoting Errors

No ownership after launch. Once the first CPQ build shipped, nobody owned its health going forward; it was a bit of everyone's responsibility, so changes just ... accumulated.
Changes made blind. Teams edited CPQ settings without visibility into how those changes rippled through the rest of the system.
A single-product foundation under multi-product strain. The original build was never built to flex as Jamf's product line and acquisitions grew.

How They Improved: Rebuilt Governance

We rebuilt the data governance layer Jamf's CPQ system had lacked since day one.

That started with people: training Jamf's own system team on CPQ upkeep and admin work with consistent, established definitions and processes so upkeep was standardized when new products were added.

We also remediated their pricing and product catalogs, along with how quotes were built and fed into invoicing. Then, we built-in annual price uplifts to contain any pricing drift that previously occurred from manual, rep-by-rep sales motions.

The Result: Less Errors, Faster Quoting

A 50%+ drop in uncaught errors is the number that shows fastest; having a sturdier sales motion that could scale helped feed their continued growth, which since 2019 has paced over 20% year-over-year on average.

And now, Jamf's systems have clear ownership and a plan that allows new product launches and folded-in acquisitions move forward without reopening the same gaps that broke things before.