Solutions

Business analytics for manufacturers

In manufacturing the number that matters most is unit cost — and it is almost never held in one system. These reports bring accounting, production data and standards into a single view.

Pricing and plans
Accounting vs analytics
Accounting

In manufacturing the number that matters most — unit cost — is almost never held in one system. Materials come from the accounts, hours from production, the standards often live in an Excel file, and the answer arrives a month later.

MaterialsLabour hoursStandards held in ExcelEquipment downtime = a single number?
Business analytics

An analytics system joins those sources and recalculates automatically. Only then can you see which products earn, which are being sold below cost, and what the equipment downtime is costing.

Rivilė / FinvaldaProduction management system
Joined up overnight Unit cost without working it out by hand

The figures worth watching

Unit cost

Materials, labour and overhead per unit. Without it, pricing rests on averages — and an average hides the products that lose money.

Plan against actual

Standard costs against what was actually consumed. A persistent variance means either the standard is out of date or the process changed without anyone noticing.

Material loss and scrap

Scrap rate by product, shift and machine. It usually concentrates in a few very specific places.

Equipment utilisation

How much of the time the equipment is actually running, and how much it stands idle for changeovers, repairs or missing materials.

Production cycle time

From order to finished goods. A lengthening cycle means more cash tied up in work in progress.

Inventory levels

Raw materials, work in progress and finished goods kept apart — three quite different ways of tying up cash.

How it looks in the report

Business analytics for manufacturers — Power BI ataskaitos pavyzdys
A sample report using demonstration data.
How to read the report
01

Unit cost

Unit cost is broken into its parts — materials, labour and overhead. That view shows at once whether raw materials got more expensive or labour costs rose, and whether any product now exceeds its average selling price.

02

Scrap and cycle time

Material loss and scrap are broken down by product, and cycle time tracks how many days an order takes to become finished goods. A lengthening cycle means more cash tied up in work in progress.

03

Equipment and inventory

Equipment utilisation separates running time from changeovers and downtime — three different things that look identical in a single percentage. Inventory is shown separately for raw materials, work in progress and finished goods.

Where the data comes from

  • the accounting system
  • the production management system (MES or ERP), where there is one
  • standards and process sheets, often held in Excel
  • machine data, where it is collected
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 Manufacturing usually needs a custom solution, because the data comes from several systems and the standards nearly always live somewhere separate.
  2. 2 In practice, then, you start with the financial side using a ready-built set, and add the production measures as a second stage — once it is clear which of them actually get used.
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