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Start with a Health Check. Then fix, automate, run or advise.

Every stage has its own fixed price, so you never sign for more than the next step.

Get a free report second opinion See the Health Check

Then: fix & build

One data foundation

Data warehouse or lakehouse, semantic models and the Power BI reports people use, including migration from legacy SQL Server.

Azure · Fabric · Snowflake · Power BI

Then: automate

Fewer manual steps

Approvals, document flows and data entry moved from email and paper to tracked digital workflows.

Power Platform · Low-code process flows

Then: run

Keep it trusted

Monitoring, support and governance, so the numbers stay right after the project ends.

Support · Monitoring · Governance

Or: advise

Independent, on your side

When a larger vendor builds your data platform, we act for you: requirements, vendor selection, progress control and acceptance.

Advisory · Vendor oversight · Acceptance

“We already have IT and a Power BI partner”

They build reports. We fix why the numbers disagree.

	Your IT team or BI partner	Aprogito
Starts from	A request for a report	The question the board keeps asking
Fixes	How the report looks and refreshes	Why the numbers disagree: definitions, sources, owners
Works with	IT and a few key users	Finance, controlling, operations and IT at one table
Leaves behind	Reports and dashboards	One agreed definition and owner per KPI, with reports built on it

We work alongside them, not instead of them. Once the definitions are agreed, your team or partner can keep building on them.

Our difference

Stalled data project? That’s where we start.

Most data firms are built to start new projects. We are just as comfortable stepping into one that has stalled. We have seen the same patterns many times, and we know what to do first.

Business and IT disagree on the scope after the contract is signed
Nobody knew the data well enough to estimate, so the estimate was wrong
A merger or reorganisation breaks the reporting model halfway through
All the knowledge sits with one developer
New requests keep arriving inside a fixed budget

Stabilise

Agree what is being built, who owns it and what it will really cost. Status reports that people believe.

Fix

Shared KPI definitions, one data model, and the reports people actually use rebuilt on top of it.

Scale

Automated refreshes and workflows, full documentation, then hand-over to your team or ongoing support from ours.

What we know how to fix

Problems we know how to solve

Aprogito is built by people with years of hands-on delivery in data, BI and process automation, in manufacturing, automotive, banking and insurance, retail and other industries. These are the problems we see most often, and how we approach them.

Finance & controlling

Month-end numbers that never quite match

Problem: Controlling and management work from different financial sources, and every close starts with reconciling them.
Approach: Calculation rules moved out of report files into one governed data layer, with one agreed definition for each period and KPI.
Outcome: One set of figures that controlling and management both sign off.

Data platform

A warehouse that has to work every morning

Problem: Data from ERP, CRM and production systems has to land in one place every day, across companies and sites.
Approach: Integration pipelines monitored and maintained, failed loads caught before users notice, access managed by role.
Outcome: Reports that are refreshed and right when the working day starts.

Report adoption

Dashboards nobody opens

Problem: Reports were delivered, but people still ask for the numbers in Excel.
Approach: Talk to the people who use them, cut each report to the questions they actually ask, agree definitions and retire duplicates.
Outcome: Fewer reports, used more often.

Process automation

From email and paper to tracked processes

Problem: Approvals and documents move by email and on paper, and nobody can see where things are.
Approach: Process flows on a low-code platform, connected to the systems that hold budgets and purchasing.
Outcome: Every document has an owner, a deadline and an audit trail.

Low-code apps

Apps for the work between systems

Problem: Checks, records and requests that no system covers live in spreadsheets.
Approach: Small apps with automated flows, and reporting built on the same data.
Outcome: Data entered once, checked automatically and reported without copy-paste.

Continuity

Not dependent on one person

Problem: A business-critical report or app is understood in detail by one person only.
Approach: Data model, logic and access rules documented, then handed over step by step.
Outcome: The solution can be maintained and extended without a single point of failure.

More ways to start

A proven dashboard or a workshop

Ready-made dashboards

Six proven starting points

Executive, consolidated reporting, budget & planning, sales, operations and HR, adapted to your systems and KPI definitions.

See the dashboards →

Training

Workshops for the people who use the numbers

KPI definitions, Power BI for managers, data ready for AI, using AI for analysis safely and a hands-on data platform course for IT teams.

See the workshops →

Not sure where to start?

Start with a three-week Health Check, or tell us where it hurts and we will suggest a first step.

Get in touch See the Health Check