Data for revenue reconciliation

Automate revenue reconciliation at scale and make your revenue data quality visible.


Many businesses don’t connect financial reconciliation issues with underlying revenue data issues. They are aware of the low quality of their revenue data, but unable to meaningfully improve it. This can have a negative impact on both revenue and cash flow.

Common challenges:

High level of discrepancies between internal and external revenue data.

Spreadsheet revenue data management makes it difficult to get visibility into reconciliation results.

Revenue data is spread across dozens of locations, making it hard to create a single balance sheet.

Revenue leakage exists, but how much or where is unknown.


Our Usage Engine automates the collection and reconciliation of all your revenue data, at scale.

And this how we do it:

Data Quality

We collect, validate, normalize and clean your orders, invoices, payments and usage data, processing every record exactly once.


We meter reconciliation KPIs from different revenue data sources so that you can compare them, both in aggregate and fine-grained.


We enrich revenue data from different sources so it can be correlated.


We produce a single view of revenue data discrepancies.


Do you have a billing
or data problem?

We solve the underlying data problem and integrate with your current billing, ERP and other quote to cash systems.

This enables usage base billing, saves time and reduces risk and cost.

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Revenue data quality becomes visible and reconciliation becomes automated.


Revenue data is reconciled and accounted for from start to finish.

Discrepancy detection between orders, usage, invoices, and payments is automated.

Revenue leakage can be identified early.

Scale to extreme volumes.

Let’s talk numbers

Why is minimizing revenue data discrepancies relevant?


Automated revenue reconciliation

All discrepancies are detected and root causes can be fixed


Manually reconciling and settling a discrepancy can cost

30 USD or more per case, and it is gruelling work

Cost of doing nothing

A company having 10k revenue data discrepancy cases per year will spend

300k USD per year on manually reconciling and settling them

Why is automated revenue reconciliation important?


Automated and audited revenue data of all process steps

the revenue data chain becomes visible


Manual auditing and reconciliation work can take months at a gruelling level of detail to find the sources of the leakage

and it is still ad-hoc work

Cost of doing nothing

Having 2-3 full-time employees working with finding and sorting out manual reconciliations instead of higher-value tasks

costs 200k USD per year

Why is it important to reconcile orders and invoices?


Automated and audited revenue data of all process steps

the revenue data chain becomes visible


Orders are fulfilled but never billed because data is lost on the way due to human errors and system handoffs

0.5% of orders never billed

Cost of doing nothing

Not invoicing 0.5% of fulfilled orders for an annual revenue of 100M USD means invoicing

500k USD per year less than you should

Why is automated reconciliation crucial for rapid monthly closing?


High performance and flexible data integration

handling any volume and number of data sources


High data volumes and reconciling multiple data sources manually monthly closing delays decision making

which inhibits growth by 0.3%

Cost of doing nothing

A 100M USD company who grows by 9.7% per year instead of 10%

loses out on 300k USD per year and it compounds

Maximize Your Returns

Our ROI calculator is your key to measuring
and maximizing success!

Let’s get started!

Ready to join the frontrunners in usage-based services?

Get in touch so we can learn about your challenges and help you take the next step.

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