Data quality
Identify errors, duplicates and inconsistencies in your data before they become costly business decisions.
- Automated audit and profiling
- Custom validation rules
- Clean-up and standardization
- Continuous quality monitoring
Data Management
From scattered sources to one reporting base
We consolidate multiple databases and files into a single, consistent base built for reporting. No more hours spent rebuilding the same numbers before every meeting.
Who this is for
Does any of this sound like your week?
Consolidation is not for everyone. It is for companies that already have the data and cannot use it.
You are the CEO and you wait for numbers
You want to see how the company is doing at a glance, instead of waiting for each department to send its own version of the report.
You are the CFO and you sign them off
You need figures that are consistent and comparable month to month, without spending hours reconciling files that disagree.
You have grown past your reporting
The data multiplied, the reporting process did not. What worked at ten clients is now held together by one person’s spreadsheet.
Your teams keep separate versions
Every department reports differently. You want one set of numbers everyone uses, not four that need translating first.
What you’re losing now
What you lose when data sits apart
Not in the abstract. In hours of people’s time and in decisions that get postponed.
3–4 hours a day
That is what goes into manual spreadsheet reports, with frequent errors. It is time taken from the people who should be reading the numbers, not collecting them.
Meetings about who is right
Each department reports a different figure and the discussion moves from the decision to the reconciliation. Both sides are right — they are using different definitions.
Decisions deferred until the data is ready
When the number cannot be trusted, the decision waits. That cost never shows up in a report, and it is the largest of the three.
What you get
What you actually receive
Six deliverables, all of them checkable. Not a deck with recommendations.
01 An inventory of your data sources
Every place you hold data, including the files each department keeps on its own. For each one: who owns it, how often it refreshes, how clean it is.
02 A written definition for every metric
How it is calculated, what it includes and excludes, which source is authoritative. This document is what stops one question getting three answers.
03 Deduplication and record matching
The same customer appears three times, spelled differently. We match records across systems and end up with one, with its full history intact.
04 Reconciliation rules
When two systems disagree, the rule decides which one wins and why. Written once, applied automatically every time after that.
05 One shared set of KPIs
The same indicators on the same definitions, for the whole company. Management reporting and every later analysis start from here.
06 The reporting base
The result: one consistent base, refreshed automatically, ready for dashboards. Not a file — the source the files are generated from.
How we work
Three steps to the first number you trust
We start from what you already have. You do not need new systems to see the first result.
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First call
Duration:
You tell us which decision you want to make better and where it hurts most. Free, no obligations, nothing to prepare.
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Audit and source inventory
Duration:
We identify the sources, assess their quality and consistency, then map them against each other. By the end of this step you know exactly what data you hold.
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Standardisation and consolidation
Duration: In parallel with step 2
We agree the definitions, clean up the inconsistencies and bring everything into one base. From here on, one question has one answer.
Exact timing depends on how many sources you have and how clean they are — we agree these with you upfront.
Evidence
What actually changes
Before
Every department reported different figures. Meetings went into debating “which number is right”.
After
One source of truth. Meetings are about decisions, not about reconciling data.
80%
Reduction in reporting time
2–4 weeks
To first results
Typical outcomes from previous projects. Every context is assessed individually.
What stops you
The questions you ask before you sign
- How much does it cost?
- The 30-minute call is free. It ends with a proposal at a fixed price for the whole project — not an hourly rate, and not an estimate that keeps moving.
- How long before we see something useful?
- First results appear in 2–4 weeks. Exact timing depends on how many sources you have and how clean they are — and we agree that before we start, not along the way.
- What happens to our data?
- It stays with you. Our tools connect to your database, read its structure and build the reporting measures there — nothing is copied or stored on our side. You get a Power BI report file with the metrics defined, which you connect to your own source; the data in it is yours and never passes through us. The exception is prediction: a model needs history, so there we keep aggregated values and model statistics, not individual records and no confidential data. Before we get any access, we sign a confidentiality agreement and a GDPR data processing agreement.
- Will we be locked into one tool?
- No. We choose based on your budget and complexity, open-source options included, and we do not impose any platform. The metric definitions stay documented separately from the tool, so they can be taken anywhere.
From the same stage
What comes after consolidation
The foundation has three services. Consolidation is what makes the other two possible.
GDPR & compliance
Ensure your data handling meets GDPR requirements without manual effort or external auditors.
- Personal data scanning and classification
- Data catalog and retention policies
- GDPR compliance scoring
- DSAR request handling
Next step
A 30-minute conversation, no strings attached
Tell us which decision you want to make better. We’ll tell you whether we can help, and how, concretely.