FIMA 2014 (past event)

12 - 13 November, 2014

12 - 13 November, 2014 | QEII Conference Centre, London

Donna Rudnicki, Managing Director, Chief Data Officer at RBC Capital Markets

Donna Rudnicki


Managing Director, Chief Data Officer
RBC Capital Markets

Check out the incredible speaker line-up to see who will be joining Donna.

Download The Latest Agenda

Day 2

Sunday, January 11th, 2015


09:15 Developing an effective data governance strategy and approach as a business critical tool across enterprise

• Creating full transparency of data governance strategy

• Ensuring technology and architecture capabilities are in line with your strategy

• Gaining buy in from all parts of the business

• Building regulatory compliance into your data governance strategy & rules

• Learning about data from data – taxonomy and its value to the business

• Showing value of data governance to your business heads – what is the impact on P&L?

09:55 Flash Panel: Linking effective data architecture to governance and business performance – What are the critical success factors?


Enterprise-wide data use, siloed modeling and metadata management cannot be performed in a vacuum. Therefore, you have to provide data to multiple customers in different formats. This means clear and structured oversight on an organisational level with standard practices for enterprise data design, sharing, and reuse. This panel is about designing data architecture linked to specific policies for data governance associated with different aspects of your architecture. Find new ways you can best achieve top level capability and maturity of your data.

• Application rationalisation strategies – reducing your app footprint and is it worth it?

• Using managed utilities as a way of rationalising your apps

• How do you enforce effective architecture governance in line with your MDM strategy?

• Combining structured and unstructured data in your architecture strategy – what is the answer?

• Are silos really as bad as everyone tells you? Should you be getting rid of all of them?

• What will data architecture look like in 10 years time?

• If you had a magic wand and could change one thing in your data architecture – what would you do?