Global Investor Strategic Data Operating Model
3 minutes read
Project Summary
The Challenge
The executive leadership made a strategic decision to build a best-in-class data operations competency, with a view to gaining strategic advantage, preparing for the future possibilities of ML and AI, and to leverage the hidden knowledge within current data.
- Have a clear definition of data, types, places, formats, and relevance.
- Have a strong control on data quality, data usage, privacy, and security.
- Leverage common platforms at scale, and specialist platforms to differentiate.
- Form a common operating model, with protocols, policies, procedures and the associated system supports.
- Enable a posture to maximise the benefits of Data Science, Machine Learning, and eventually AI.
- Enable highly informed decision making and well evidenced actions and events.
Our Approach
- Conduct a top down “Decision-Inform” modelling exercise, connecting all key value centric decisions with the desired information and data that will inform.
- Conducted Volume, Velocity and Veracity (V3) assessment for decision making models. Define the key data personas and the relevant data needs for each.
- Conducted data landscape assessment. Identifying residency, age, structure, availability, controls etc.
- Defined and designed Master Data Catalogues and Master Data Entity Models.
- Defined Data Governance Standards and controls
- Conduct current state assessment of Digital, Data and Technology.
- Identify gaps, pain points, risks, and impediments.
- Define and design target state for Digital, Data and Technology.
- Define and design Data Operations.
- Construct Transformation Roadmaps for Business, Digital and Technology
Results & Impact
- Roadmaps and transformation that resulted in a fully data centric organisation.
- Roadmaps enabled significant return on investment via mission realisation.
- Standardise and scalable data operations, resulting in reduction of cost and increase in quality and velocity of data services.
- Consolidated IT and Data operations, with significant economy of scale gains.













