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Data Engineering & Data Platforms

One version of the truth for the whole company

We bring all your sources into one reliable data model. Reporting, analytics, forecasts and AI run on it, without manual exports, and reports take minutes instead of days.

No obligation. The plan stays with you either way.
1 truthinstead of ten Excel files, each with its own revenue.
Minutesinstead of days to close the month. Finance works instead of reconciling.
Zero downtimefor current reporting: migration in phases, the business doesn’t notice.
AI-readydata that forecasts and AI can run on tomorrow, not chaos.
Problems

Sound familiar?

Data is spread across ERP, CRM, EDI, Excel and email. Every department counts in its own way, reports are assembled by hand, and leadership doesn’t trust the numbers.

The numbers don’t match

Sales has one revenue figure, finance another. Every meeting starts with reconciling.

Month-end takes days

Finance spends days reconciling Excel files before anyone sees the result.

Power BI on exports

Reports run on manual exports and quick-fix models. When the analyst leaves, everything stops.

A legacy warehouse

An old on-prem DWH, SSAS or SSIS can’t keep up, and touching it is scary.

Decisions on stale data

By the time the report is ready, the situation has already changed.

AI on top of chaos

Leadership wants forecasts and AI, but the data isn’t ready for them.

What we build

A data platform, not just a dashboard

Business questions and metrics first, then the data model, and only then the dashboards.

SourcesERP · CRM · EDI · Excel
Rawas loaded
Cleanedquality, master data
Business modelsingle metrics
ResultsPower BI · forecasts · AI

Pipelines from every source

ERP/1C/BAS, CRM, EDI, Excel and external sources, loaded automatically with ETL/ELT.

Data warehouse / lakehouse

Layered architecture: raw → cleaned → business model, documented and monitored.

Semantic model and Power BI

Single metrics and calculations for sales, margin, P&L, stock, receivables and production.

Data quality and master data

Single reference data for products, customers and counterparties across systems, with quality checks.

Migration without stopping reporting

From on-prem DWH, SSAS or SQL Server to Microsoft Fabric, step by step, with history preserved.

Forecasts and AI-ready data

Demand, stock, price and churn forecasts on the same foundation, and data prepared for AI.

StackMicrosoft FabricPower BISQL Server / Azure SQLData FactoryTabular modelsPostgreSQLDatabricksPython
Process

Step by step, without breaking current reports

1
Free · 30 min

Meeting

We discuss your reports, sources and the business questions you need answered.

2
After the meeting

Data audit and plan

Inventory of sources, reports and data quality, target architecture, TCO estimate and a modernization plan.

3
First result

First business domain live

Sales or P&L goes live on the new platform first, so you see the result early.

4
Iterations

Scale

New domains, forecasts, AI and team training in Power BI, Fabric and SQL.

Why us

A practitioner, not a dashboard contractor

Business questions first

Metrics and the data model come before any dashboard, so numbers can be trusted.

We know how data is born in ERP

The model is built on the accounting logic of ERP/1C/BAS, not just on what exports look like.

One path to AI, and training

Data → BI → forecasts → AI on one foundation. Your team is trained in Power BI, Fabric and SQL, so there is no dependence on a contractor.

In-house analyst + Power BI on exportsBI contractors “for a dashboard”Large integratorsMK-Tech
Single source of truthIn-house analyst + Power BI on exportsBI contractors “for a dashboard”Large integratorsMK-Tech
Understands ERP accounting logicIn-house analyst + Power BI on exportsBI contractors “for a dashboard”Large integratorsMK-Tech
Scales to forecasts and AIIn-house analyst + Power BI on exportsBI contractors “for a dashboard”Large integratorsMK-Tech
Documentation and team trainingIn-house analyst + Power BI on exportsBI contractors “for a dashboard”Large integratorsMK-Tech
Fast first resultIn-house analyst + Power BI on exportsBI contractors “for a dashboard”Large integratorsMK-Tech
What you end up withIn-house analyst + Power BI on exportsWorks until the analyst leavesBI contractors “for a dashboard”Nice reports, rebuilt in six monthsLarge integratorsLong, expensive, template architectureMK-TechA platform your team can develop
Who it’s for

Built for the people who rely on the numbers

CFO

One source of truth, reporting in minutes and a transparent P&L.

CIO / CDO / head of data

A documented platform your team can develop, not a zoo of exports.

CEO / owner

A management dashboard for the whole company on current data.

Commercial / supply chain director

Sales and stock analytics by customer, SKU and region.

A fit if you have

  • 100–2000 employees
  • 3+ accounting systems and reports assembled in Excel
  • Power BI running on exports and one analyst
  • An old DWH, SSAS or SSIS to modernize

Not a fit if you

  • Have one system with built-in reports
  • Need one cheap dashboard
  • Have no access to your source data (closed SaaS without an API)
Doubts

What usually stops people, and the answers

“We already have Power BI and an analyst”

We don’t replace them, we give them a foundation: automated pipelines and a single model, so the analyst works many times faster.

“Fabric and the cloud are expensive and risky”

TCO is calculated before the start, and migration is phased, with the old reporting running in parallel.

“It’s a year-long project”

The first business domain, such as sales or P&L, goes live first. Then we iterate.

“Our data is too dirty”

That’s a normal starting point. Data quality and master data are part of the project.

“Who will support it?”

Documentation and team training, plus optional ongoing support.

Get one version of the truth

A free 30-minute meeting. Afterwards you get a plan: where to start, what architecture you need and what it will cost.

No obligation. The plan stays with you.
Data platform plan
Book