One source of truth for ARR, across every invoicing system.
Single source-of-truth customer cube, consolidating multiple systems.
The client had built a customer cube, but a series of acquisitions running on different ERPs meant the business logic flowing from invoices into ARR was inconsistent. Historic data showed unrealistic month-on-month downsell and churn, which depressed reported GRR and made the numbers impossible to trust.
We took a bottom-up approach to identify the most impactful customers and adjusted their ARR using supporting evidence, then a top-down approach to find and fix business-logic errors within customer segments. We retained the existing cube and overlaid the adjustments, so there was a clear before-and-after picture, with confidence scores and justifications that made the updated cube auditable.
Average monthly ARR loss fell by 79% across the measured period, producing a reliable GRR figure for the first time. The stabilised cube now supports accurate historic snowball analysis at a more granular level, ready to defend in front of a sponsor or a bidder.
Single source-of-truth customer cube, consolidating multiple systems.
NRR and GRR uplift from correct classification of ARR movements.
Key sales metrics tracked and cross-cut in one place.