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Case Study: M&A Synergy

FTSE 100 M&A
Data Platform Strategy

Defining the architectural target state and operational synergy for a massive financial institution merge.

1st
Unified Blueprint
100%
Secure & Scalable
Context

The Challenge

Client Overview

Our client is a 300+ year-old financial institution and a global leader positively impacting the financial community – be it in trading and banking, investment, wealth, customer and third-party risk, and enterprise data solutions. As a part of the recent acquisition, their Global Fintech arm, the customer aimed to become one of the world’s largest providers of financial markets data and infrastructure.

The Ask

As the part of the acquisition of the Market Data Provider, the integration and consolidation programme needed a Data Platform with modern and advanced capabilities. The new Data Platform needs to cater to data on boarding & engineering from various internal and external sources (mostly legacy) whilst ensuring data quality, standardisation, transformation and dissemination are performed robustly. It must also have sufficient agility to meet the rapid timelines demanded by the integration.

Execution

Our Process

01

Design Workshops & Capability Mapping

In conjunction with the Lead Architects from the respective divisions, we conducted a number of design workshops mapping out the core functional requirements and translating them into technical architecture blueprints.

02

Landscape Assessment & Market Evaluation

The process included an assessment of the customer's existing technology landscape, a market evaluation of modern Data Integration and Data Engineering tools, and the definition of the target state architecture.

03

Strategic Roadmap Delivery

Through this consultative approach, we proposed a strategic roadmap that aligned the technical capabilities with the business goals of the merger.

Impact

Outcome & M&A Success

Blueprint

We delivered a comprehensive Data Platform Strategy and Architecture definition document.

Foundation

This served as the foundational blueprint for the ensuing implementation phases.

Scalable & Secure

Ensuring that the new platform would be highly scalable, secure, and capable of accelerating the integration timeline.

Future Ready

Established a robust framework for future AI and Analytics initiatives.

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