Service Line 04

Data Intelligence and Analytics

Turning data African enterprises already have into decisions they can act on.

Data warehouses, business intelligence dashboards, predictive analytics models, data pipeline engineering, and AI-powered reporting. Special capability: integration of the AscendSME Sustainability Score and Business Audit Engine data as additional intelligence layers.

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The Problem We Solve

A bank has 15 years of transaction data and cannot predict SME defaults. A logistics company has GPS data for 300 vehicles and no route efficiency visibility. A retail chain has POS data across 40 branches and no unified product performance view.

Market Context

83% of organisations report data literacy as a challenge. In African enterprise, significant operational data is locked in WhatsApp conversations, Excel, paper records, and disconnected legacy systems.

What We Build and Deliver
  • Data warehouses consolidating multiple operational systems
  • Executive and operational BI dashboards
  • Predictive models for churn, demand, fraud, and credit scoring
  • Automated data pipeline engineering
  • Natural language AI reporting for executive queries
Engagement and Pricing
Discovery
GHS 60,000 to GHS 150,000 (4 to 8 weeks)
Build
GHS 200,000 to GHS 800,000
Retainer
GHS 20,000 to GHS 80,000 per month
Discovery is a paid engagement — not a free pitch. You receive a full current-state assessment and preliminary solution options.
Target Clients
Banks and microfinance institutionsInsurance companiesDevelopment organisationsGovernment agencies (Ghana Statistical Service, GRA, GIPC)Retail and FMCG companiesTelecoms
Why BVM Technologies

BVM holds a data asset no other technology firm in Ghana has: the AscendSME operational data platform, the Ghana Business Score benchmarking database, and the Business Audit Engine database. For financial institutions, that combination produces insights unavailable from any other source.

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Tell us about your organisation and the problem you are trying to solve. We respond within 48 hours.

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