We collect, validate, normalize and clean your orders, invoices, payments and usage data, processing every record exactly once.
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:
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.
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.
Revenue data quality becomes visible and reconciliation becomes automated.
Outcomes:
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
Potential
Automated revenue reconciliation
All discrepancies are detected and root causes can be fixed
Reality
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
Potential
Automated and audited revenue data of all process steps
the revenue data chain becomes visible
Reality
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
Potential
Automated and audited revenue data of all process steps
the revenue data chain becomes visible
Reality
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
Potential
High performance and flexible data integration
handling any volume and number of data sources
Reality
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
Our ROI calculator is your key to measuring
and maximizing success!SAP needed to manage usage data from multiple cloud infrastructures and applications in its billing processes.
With full control over its complex usage data, Gogo was able to launch its innovative AVANCE connectivity products to the business aviation market.
Vocus Retail has transformed its BSS ecosystem using DigitalRoute’ software and cloud applications, enabling automation, market agility and product innovation.
Let’s get started!
Get in touch so we can learn about your challenges and help you take the next step.
Book a demo