Data Architecture London 2024
Presentations
Ten Data Architecture Strategies for Improving Efficiency, Reducing Cost, Risk and Complexity
- Designing coherent data architecture in order to streamline data management processes
- Implementing systems for improved data quality in order to have clean, accurate and consistent data, and how this is essential for accurate for AI Models
- Implementing lifecycle management strategies to optimize storage costs
- Enhancing real time data processing to enable greater insights and decision making
- Reducing and rationalising 3rd party data and software licensing costs
- Gaining buy in from the wider business
Jeremy Posner, Lead Data Architect
FIDELITY INVESTMENTS (former)
Journey to a Modern Data Architecture
In today’s environment, it can be difficult for businesses to keep up with customer expectations. Organisations need to innovate to deliver the best products, while also modernising legacy applications and systems. Every journey to a more modern data architecture is unique and driven by specific business initiatives, but without the proper planning and execution, it can become an expensive, time-consuming project. In this presentation, we’ll discuss one customer’s challenges and solution for delivering resilient, real-time replication from traditional on-premise systems to the latest cloud analytics platform.
Leo Dong, Data Scientist
SAINSBURY’S
Data Governance Collaboration: Bridging Architecture, Risk, and Compliance
- Leveraging a data governance perspective to unify data architecture, risk, and compliance teams.
- Exploring essential considerations for crafting a robust data architecture that aligns with governance objectives.
- Discovering strategies and challenges encountered while bridging the gap between data architecture and governance for seamless collaboration.
Tumi Alegbeleye, Enterprise Architect
BRITISH BUSINESS BANK
Phillipa Nazari, Director, Data & Information Governance
BRITISH BUSINESS BANK
The role of the data architect in an agile development environment
- How to make considered data architecture work in the fast paced world of agile development
- Mapping the data environment: getting to grips with the data ecosystem to maximise potential opportunities
- Facing outwards: putting consumption data to use to drive efficient and focused development
Jo Kent, Data Architect
SCIENCE MUSEUM GROUP