Selected Client Engagement -> Large African Bank

Large African Bank

Industry: Banking

Typical engagement duration: 6-9 months

Business challenge: Disparate systems made it difficult to produce trusted customer intelligence and recommendation insights.

Outcomes: Improved customer analytics quality, stronger recommendation capability, and faster insight turnaround.

Technologies: Microsoft Azure, Databricks, Power BI

Challenge

The client needed a modern data platform to support customer analytics and recommendation use cases, but critical data was fragmented across legacy and line-of-business systems.

Solution

Syeop delivered a phased modernisation program focused on high-value use cases first, then scaled reusable ingestion and transformation patterns across domains.

Architecture Overview

A cloud-native data platform was implemented with governed ingestion, curated domain models, and semantic reporting layers designed for analytics and ML workloads.

Outcomes Achieved

  • Improved confidence in customer analytics through better data quality and lineage.
  • Reduced time to produce actionable business insight.
  • Established a scalable foundation for recommendation and AI-driven decision support.

Selected Client Engagements

Confidentiality-preserving examples with representative measured outcomes.