Data infrastructure for African finance

Turn fragmented bank data into trusted intelligence.

BankData Africa unifies operational and transactional data into clean, governed, AI-ready pipelines—starting with fraud detection and built to scale across the institution.

Built for commercial banks, digital banks, insurers, fintechs and payment companies.

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What to expect

One use case first.

A focused fraud-data foundation before a broader institutional rollout.

Governance by design

Lineage, quality controls, access policies and auditability are part of the data layer—not an afterthought.

Enterprise-led delivery

Implementation is shaped around your architecture, regulatory obligations and operating model.

The platform

A governed path from source system to AI.

Build a dependable data foundation once, then activate it across fraud, AML, credit, customer intelligence, treasury, risk and personalisation.

  1. 01

    Ingest fragmented data

    Connect core banking, payments, credit, fraud and operational systems without forcing a wholesale replacement.

  2. 02

    Clean and standardise

    Resolve inconsistent formats, identities and definitions into reusable, governed financial data products.

  3. 03

    Prove quality and lineage

    Monitor quality continuously and trace every field from source system to model, dashboard or API.

  4. 04

    Activate intelligence

    Deliver Customer 360, transaction intelligence and AI-ready pipelines for fraud, AML, risk and credit teams.

First deployment

Make fraud signals faster, cleaner and explainable.

Consolidate transaction, customer, device and case data into monitored pipelines that fraud teams and models can trust.

Customer 360 and entity resolution
Transaction intelligence APIs
Quality monitoring and lineage
Role-based governance controls

Commercial model

Enterprise scope, transparent components.

Pricing is tailored to data volume, source complexity, deployment model and the use cases being activated.

01

Foundation assessment

A scoped engagement to map priority sources, risks, controls and the first high-value use case.

  • Data landscape review
  • Use-case blueprint
  • Implementation roadmap
Core engagement

Enterprise platform

Implementation plus an annual licence for governed ingestion, standardisation, lineage, monitoring, APIs and analytics.

  • Production deployment
  • Security and governance
  • Data-processing allocation
  • Dedicated delivery support
Request a proposal

03

AI modules

Premium modules activated as your governed foundation expands across the institution.

  • Fraud and AML
  • Credit and risk
  • Personalisation

Common questions

Designed for complex financial environments.

Start with the data beneath one decision

Build a trusted foundation for fraud intelligence.

Map the sources, controls and pipeline needed to move from fragmented records to reliable, AI-ready signals.

Book a discovery session