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We took the standard R-Keeper report package and they tailored it to us on top of that. It all just works.
Solutions
Business analytics for service businesses
A service business sells time, so profitability comes down to how many hours are billed and at what rate. These reports show that by client, by project and by person.
Accounting vs analytics
Accounting
A service business sells time, so profitability comes down to two things: how many hours become an invoice, and at what rate. The two numbers are rarely seen together — the hours live in the time-recording system, the revenue in the accounts.
Contract valuesHours spentDiscountsWork done free of charge = a single number?
Business analytics
Joined up, project margin stops being a matter of instinct. The analytics show which projects look good on paper and lose money in hours, and which clients absorb a disproportionate amount of attention.
Rivilė / FinvaldaTime recording
Joined up overnight Project margin measured in hours, not in contract value The figures worth watching
Project profitability
Contract value against the hours actually spent. Projects that look healthy often turn out to be loss-making once every hour is counted.
Billable hours ratio
How much working time actually becomes an invoice. It is the one figure that explains almost all of a service firm's profitability.
Staff utilisation
Who is overloaded and who has capacity, week by week rather than by feel. It lets you hire before the crunch rather than after it.
Average hourly rate
The real one, not the rate card: contract value divided by hours. Discounts and work done for free erode it quietly.
Customer profitability
A client who constantly asks for small fixes can cost more than they bring in. Hours by client makes that visible.
Recurring revenue
How much of the revenue comes from ongoing contracts and how much from one-off work. That ratio decides how predictable the business is.
How it looks in the report
How to read the report
01
KPI cards
On the left: average project profitability, the billable share of hours, staff utilisation and the average hourly rate. Together they answer whether the firm is running efficiently, before you look at any individual project.
02
The projects table
The project table sorts by margin, so loss-making work is visible immediately — alongside the hours that made it so. The utilisation view next to it shows who is overloaded and who has capacity.
03
The trends row
The bottom row tracks trends: the billable share of hours, the actual hourly rate against the rate card, and the share of recurring revenue. A rate that is quietly falling almost always means discounts or work done for free.
Where the data comes from
- the accounting system
- the time-recording system
- a CRM or project management tool
- the contract list with end dates
Read access The connection is read-only — the reports read your data, change nothing, and never write back to your systems.
What people usually notice first
- 1 What usually emerges first is that the billable share of hours is lower than assumed — the gap between the planned figure and the real one is typically ten points or more.
- 2 The second common finding is a few clients who absorb a disproportionate amount of time. Usually they are long-standing ones, where a habit has formed of doing work without billing for it.
Analitika360 client stories
Data that helps you decide
See how companies like yours put Analitika360 reports to work in Power BI.
Where to start
Most people start with a ready-built report set, which connects to your accounting system within a few days, and add the industry-specific reports as a second stage. Describe your situation and we will tell you what would work best in your case.