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Services

Data mining and business intelligence

We find patterns in your raw data, turn them into meaningful metrics and build BI platforms that support management decisions. We bring data from ERP, CRM, web and file sources into a single data warehouse and automate your reports.

Tell us about your project

From raw data to action

We design and manage every step the data takes from source to the point of decision.

  1. Data collection

    We collect data from ERP, CRM, web, API and file sources.

  2. ETL and transformation

    We clean, normalise and consolidate the data.

  3. Data warehouse

    We keep the data in centralised storage, ready for historical analysis.

  4. Analysis and modelling

    We run statistical analysis and build machine learning (ML) models.

  5. BI dashboard

    We present the results through visual reports, real-time alerts and KPI screens.

Our data and analytics services

We offer four main solutions, from reporting infrastructure to predictive models.

Power BI, Metabase, custom development

BI dashboards and reporting

Management panels, operational reports and department-level KPI screens. We provide real-time decision support with live data.

  • Power BI
  • Metabase
  • Custom dashboard
  • Drill-down
  • Mobile-friendly

Data warehouse, ETL pipeline, data modelling

Data warehouse and ETL architecture

We consolidate data from different sources into a single source of truth. By integrating ERP, CRM, e-commerce and accounting systems, we build a consistent data foundation.

  • Data warehouse
  • ETL pipeline
  • Data modelling
  • Data quality

Segmentation, basket analysis, churn, anomaly detection

Data mining and segmentation

Customer segmentation, product basket analysis, churn prediction and anomaly detection. We find hidden patterns in your data and turn them into action.

  • Customer segmentation
  • Churn analysis
  • Anomaly detection
  • Basket analysis

Demand forecasting, inventory, risk, machine learning

Predictive analytics

Demand forecasting, inventory optimisation, revenue projection and risk modelling. Machine learning models support forward-looking, proactive decisions.

  • Demand forecasting
  • Inventory optimisation
  • ML models
  • Risk score

What changes in a BI project?

Once data is gathered in one place and reported regularly:

  • Reports are generated automatically instead of by hand.
  • Data comes from a single source, so reports agree.
  • Management sees current figures without waiting.
  • Teams spend less time preparing reports by hand.

Which sector are you in?

Every sector has different data questions, so we build analytics frameworks specific to your field.

Retail and e-commerce

Sales and inventory optimisation

Which product runs out and when, and which customer segment is most profitable? Seasonal demand forecasts help prevent stock bottlenecks.

Manufacturing and logistics

Operational efficiency analysis

Line efficiency, downtime analysis and supply chain bottlenecks. OEE metrics are tracked in real time.

Finance and banking

Risk and customer analysis

Credit risk scoring, fraud detection, customer lifetime value (LTV) analysis and segmentation models.

Construction and real estate

Project profitability tracking

Project-level cost and revenue analysis, cash flow projection, subcontractor performance evaluation.

Healthcare and clinics

Operational and clinical BI

Patient flow analysis, appointment utilisation optimisation, department-level revenue reports and staff productivity.

Import and foreign trade

Cost and supply analysis

Exchange-rate-based cost analysis, supplier performance comparison, visualisation of customs and logistics costs.

Start with a data maturity assessment

In a free data maturity assessment, we work out together which data sources you have and which questions you want answered.

What kind of support are you looking for?