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Business analytics for car service centres and parts retail

A workshop's profit comes from two quite different places — labour hours and parts. These reports keep them apart, so you can see which one is actually earning.

Pricing and plans
Accounting vs analytics
Accounting

A workshop's profit comes from two different places — labour hours and parts — and added together they nearly always look better than they are. Split apart, it often turns out the margin on parts is covering an hour sold too cheaply.

Labour invoicesParts costTechnician hoursParts stock = a single number?
Business analytics

Automated reports join the workshop management system to the accounts, so technician utilisation and parts stock are read next to the money rather than in separate summaries.

Rivilė / FinvaldaWorkshop management system
Joined up overnight Labour and parts margin, separately

The figures worth watching

Labour and parts margin, separately

Added together the picture almost always looks too good. Split apart, it often turns out the labour hour is being sold too cheaply.

Technician hour utilisation

How much working time becomes a billable hour. It is the core profitability figure for a workshop.

Average job value

And how it moves over time. Together with the number of jobs, it explains any change in turnover.

Parts stock on hand

Parts age and lose value. A list of slow-moving parts often reveals a considerable sum tied up.

Customer return rate

How many customers come back a second time. In a workshop that matters more than the number of new customers.

Profitability by job type

Which jobs earn their keep, and which occupy a ramp for next to no margin.

How it looks in the report

Business analytics for car service centres and parts retail — Power BI ataskaitos pavyzdys
A sample report using demonstration data.
How to read the report
01

Labour and parts margin

Labour and parts margin are shown separately over several months. This is the view that catches a labour hour quietly getting cheaper — while the combined figure still looks steady.

02

Jobs and customers

Average job value together with the number of jobs explains any change in turnover, and the return rate shows whether the workshop is building a customer base or only attracting one-off visits.

03

Hours and parts

Technician utilisation including idle time, parts stock by age, and profitability by job type complete the picture: which jobs occupy a ramp for next to no margin, and how much money is sitting in parts that do not move.

Where the data comes from

  • the accounting system
  • the workshop management system (jobs, hours worked)
  • parts stock data
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. 1 What usually emerges first is that the margin on parts is covering a labour hour sold too cheaply — and that is only visible once the two are separated.
  2. 2 The second finding is idle time on a ramp or bay that nobody records, but which cuts straight into the billable share of hours.
Analitika360 client stories

Data that helps you decide

See how companies like yours put Analitika360 reports to work in Power BI.

We took the standard R-Keeper report package and they tailored it to us on top of that. It all just works.
TB
Tomas B.restaurant owner
Twenty ready-made reports — we didn't have to work out what to ask for. Our Finvalda data is finally something you can look at. Recommended.
IM
Ingrida M.accountant
What we liked was that Analitika360 already had a 20-report package for Rivilė users — we didn't have to work out our requirements from scratch. We were up and running quickly, and later they adapted several reports to the specifics of our production. It saved us both time and money.
MK
Marius K.finance director
We are a group of companies running Rivilė, and consolidated reporting was always a headache. Analitika360 started from the standard 20-report package and then fitted it to our group structure — we now see everything in one Power BI model, and it refreshes itself.
GJ
Giedrė Jankauskaitėfinancial accountant
We run six restaurants on R-Keeper and had long been looking for a way to compare results across sites. The standard 20-report package covered most of what we needed, and reports specific to our group were added later.
Andrius Š.director of a restaurant group
We came to them on a recommendation, and the ready-made 20-report standard for Finvalda users was a pleasant surprise straight away. Management now gets a clear financial picture every Monday, and I no longer spend days exporting data into Excel.
RP
Rasa Petrauskienėhead of accounting
We use Rivilė, but we never had time to build reports from scratch. The 20-report package was exactly what we needed — we had it running within a week.
VP
Vaidas P.retail chain manager
We have four cafés on R-Keeper and for a long time we ran them on gut feel. The Analitika360 reports showed us things we had simply never noticed. We now decide on the numbers rather than on guesswork.
LK
Laura Kazlauskienėfinance director of a café group

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.

Report examples