Data Transformation strategy design

Client Needs & Objectives

As part of the creation of the Data department, our client needed assistance to define the strategic ambitions of its Data framework

The objectives were threefold:

  • Perform an as-is analysis to diagnose the current set-up and have a thorough understanding of where they stood in terms of data
  • Identify remedial actions and design TOM ensuring the sustainability of the performance
  • Define strategic ambitions and roadmap with key milestones on selected use cases (end-to-end analytics, fraud alert management)

Our Approach

1. Diagnose

  • Based on workshops and meetings with Management, select a dataset to be analysed on a pilot perimeter (identify critical data with the confidence level required)
  • Perform quality tests & data lineage and identify weaknesses across the value chain (missing controls, feeding issues, update frequency, manual adjustments…)

2. Optimise

  • Propose a remediation plan and ensure roles and responsibilities are clearly defined
  • Design Target Operating Model (including recommendations on data lake solutions)

3. Promote

  • Select the portfolio of initiatives and emblematic use cases to demonstrate the data potential with tangible benefits and related Return on Investment
  • Build vision, strategic ambitions and roadmap for the Data Transformation Program

Main Deliverables

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Client Benefits & Main Results

Build momentum through pilots

Identify Data Champions in charge of evangelization of the stakeholders

Systematically calculate and promote Return on Investment

Engage business as soon as possible and demonstrate business value with concrete results