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Data & business intelligence

One agreed number, everywhere — then the models that find what nobody thought to ask.

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What we do

Data warehouses and dimensional models over the systems you already run

A semantic layer: each metric defined once, read identically from Excel, BI tools and code

Executive dashboards, with drill-down from any headline number to the rows behind it

Automated reporting: the monthly pack builds and sends itself

Forecasting, scored against what actually happened so you know when to trust it

Data mining and segmentation: churn signals, cohorts, and patterns nobody queried for

Alerting, so a metric crossing a threshold reaches a person

What you get

A warehouse your systems feed on a schedule, not by export
A written definition of every metric, agreed by the people who argue about them
Dashboards your executives actually open, on phone and desktop
The monthly pack, generated and delivered on a set day
Models with their accuracy published, not asserted
Documentation, and the whole thing running on infrastructure in your name

Related work

Financial services

Payments data cloud — dimensional warehouse and semantic layer

A warehouse over transaction data where each metric is defined once, then read identically from Excel, from BI tools and from code.

What we did

  • Dimensional model
  • Semantic layer
  • OLAP cubes
  • Forecasting
Retail & e-commerce

Business intelligence — one dashboard, every source

Sales, stock, ads and accounting lived in four systems that disagreed. We built the warehouse underneath them and the dashboard on top.

What we did

  • Data warehouse
  • ETL pipelines
  • Executive dashboard
  • Alerting
Financial services

Data mining — segmentation and churn signals

Years of transaction history were sitting unused. We turned it into segments the commercial team acts on, and an early signal for accounts about to leave.

What we did

  • Data mining
  • Segmentation
  • Churn signals
  • CRM sync
Hospitality

Automated operations and financial reporting

A multi-property operator was rebuilding the same reports by hand every month. Now they arrive on their own, in both languages.

What we did

  • Automated reporting
  • Consolidation
  • Scheduled delivery
  • Bilingual output

Frequently asked questions

  • A BI tool draws whatever you give it. If four systems disagree about what a sale is, the tool will draw four different truths beautifully. The work is upstream: getting the data into one place on a schedule and agreeing a single definition per metric. Do that and Power BI, Excel and your own code all return the same number — which is usually the actual problem people are trying to solve.

Let's build something that works.

Tell us what you're trying to accomplish. We'll reply within one business day with a clear next step.

Book a call

or email hello@mdvworks.com