John Bottega

Data governance is one of the hottest subjects, with every data professional interested in strategy, practical realities and challenges facing any data governance policy. Benefit from the huge experience and expertise of Lorraine Waters who has in her career built substantial models in many financial institutions. She is an expert at definition and delivery of effective operating models, including shared services, for several global, top-tier financial institutions. Don’t miss your chance to learn about:

• Debating the real and perceived role of data governance – does it make us any money?

• Setting clear achievable data governance goals – what is the point?

• Implementing an effective set of common rules – can everyone follow the same rules and should they?

• Getting your architects and IT to support your strategy – main challenges

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?