Enterprise Data Architecture and Data Governance Strategy
The client, a global trading venue, embarked on a firm-wide data strategy programme to address a number of issues that limited the value of the firm’s data.
Synechron was asked to evaluate the current data landscape and develop a strategy and roadmap for data that would deliver the data strategy programme objectives.
Synechron recommended an enterprise data management strategy that defined the data architecture, a data governance model and solutions that would make data more accessible, usable, accurate and secure.
This allowed the client to optimise the use of data across the firm, creating value through monetisation of proprietary sources, improved access, and improved analytics.
Synechron used their data governance and data architecture framework and maturity model to provide structure for the following activities:
The strategic recommendations improved business operations’ effectiveness with a consolidated data warehouse and improved data access and analytics with a data lake hosted on public cloud.
Improved operational effectiveness
The client had a number of data warehouse solutions with inconsistent views of operational data. Consolidating operational data into a single data warehouse supported better data integrity, consistency, and lineage tracking. The resulting operational data service was more accessible, usable and accurate, improving the business’ operational effectiveness.
Data-driven business value
Introducing a public cloud hosted data lake enabled improved self-service data access and data analytics; allowing business analysts and researchers to rapidly innovate and generate value from business insights.
How we’ve helped our clients achieve their transformation goals for other large-scale, global programs
Strategic client rationalization
Global Business Wind-down and Divestment
A Path to IT Optimization