Tuesday, April 24, 2018
01:30 PM - 02:30 PM
The IBM Industry Models have been used by hundreds of financial services organizations worldwide to address a range of challenges, both as a basis for business analytics deployments and the deployment of operational processes and services. This session will describe how these models and the associated IBM data management tooling can be combined with FIBO to enable its use as the basis for the deployment of structures needed to support data lake implementations
This session will examine the possible integration points between FIBO and the IBM Industry Models and will specifically look at the current and likely future integration with FIBO and the associated IBM Unified Governance tooling environment. This session will also look at some of the opportunities and likely challenges facing our mutual clients.
Components of the Models and FIBO Session are :
- Business drivers – why clients use the IBM Models with FIBO
- GDPR as a driver for information governance
- The current Data Model integration points
- FIBO within the IBM Unified Governance tooling landscape
- Possible Deployment scenarios
Elaine manages the business of Industry Models for Banking and Insurance with IBM, providing enterprise capabilities for building systems that support governance of data as an asset, in every part of its lifecycle. This is built on a foundation of leading the development of IBM's industry models, particularly for Banking, as lead developer for IBM's Banking Data Warehouse, an offering that has been licensed by over 400 Financial Institutions worldwide. Elaine has spent over 20 years in Information Management - from working on the worlds earliest enterprise data warehouses to designing information strategies for retail, banking, financial markets and insurance.
She holds a degree in Engineering (BAI) from Trinity College, Dublin and a Masters in Computer Applications from Dublin City University. In the past year, she has been driving work on GDPR for data governance, data warehousing and data lakes, as supported by IBM Industry Models.