Mady Korada

Data Consultant
Consultant

Mady Korada is an expert in strategy, architecture and innovation in enterprise data management. He brings an inclusive, creative, thorough and diligent approach to his prolific output. His clients have spanned industries including regulatory bodies, investment banking, asset management, insurance and government. Mady helps clients assess their strategies and produce roadmaps for delivering mature application and data capabilities. He has held various global delivery and architecture roles. His works have been accepted into a leading standard. Gartner have published his articles on data economy and the future of data. Mady has published articles on Enterprise Information Management and a book on Big Data Governance with a group of experts. Mady is a member of numerous councils and industry forums. Mady provides thought leadership as an independent consultant. You can also follow him on Twitter @mostlyknown where he tweets actively.

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

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Day 2

Sunday, January 11th, 2015

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?