FIMA 2015 US (past event)
March 30 - April 01, 2015
Westin Copley Place, Boston, MA
The Westin Copley Place, Boston, MA
Josh Lee
Director of Global Industry Marketing
Informatica
Check out the incredible speaker line-up to see who will be joining Josh.
Download The Latest AgendaData Quality & Value - Financial Institutions Only
Saturday, June 3rd, 2017
11:00 Kickoff of Interactive Roundtables
This is your chance to sit with peers and industry experts to ask questions, share your thoughts, and dive deeper into the subject matter. Each round will last 20 minutes and the moderators will rotate giving you the opportunity to meet with each one.
Roundtable Topics and Moderators:
1.An Analysis Of The Cloud Movement And The Associated Data Management Activities
Josh Lee, Director of Global Industry Marketing, Informatica
2.Establishing Data Quality and Traceability at the Source
Martin J. Williams, Vice President, Reference Data Product Development, Interactive Data
3.Can Data Quality be same for all Financial Institutions
Preetham Kamesh, Head of Data Management Services Business Unit, IGATE Corporation
4.Establishing Enterprise Data Governance: What Does It Take To Execute?
Don Rosenberg, Lead Consultant, Banking and Financial Services, IGATE Corporation
5.Managing The Delta Of Regulatory Data (Across Multiple Compliance Frameworks KYC, Dodd-Frank, EMIR, MiFID, FATCA, Canadian And APAC OTC Derivatives)
Mick Furlong, VP Client Success, Americas, Fenergo
6.Practical Approaches To Efficient Data Integration, Provenance And Management
Devesh Shukla, Global Head of Reference Data Product Development, Enterprise Solutions, Bloomberg LP
7. The Importance of Global Entity Data Management & Corporate Hierarchy for Risk & Regulation
Stan Kay, VP Global Alliances & Partnerships, Dun & Bradstreet
8. Machine Learning in Global Banking: Automating Standard Settlement Instructions (SSI) and Other High-risk / High-cost Processes
Adam Devine, VP Product Marketing, WorkFusion
Roundtable Topics and Moderators:
1.An Analysis Of The Cloud Movement And The Associated Data Management Activities
Josh Lee, Director of Global Industry Marketing, Informatica
2.Establishing Data Quality and Traceability at the Source
Martin J. Williams, Vice President, Reference Data Product Development, Interactive Data
3.Can Data Quality be same for all Financial Institutions
Preetham Kamesh, Head of Data Management Services Business Unit, IGATE Corporation
4.Establishing Enterprise Data Governance: What Does It Take To Execute?
Don Rosenberg, Lead Consultant, Banking and Financial Services, IGATE Corporation
5.Managing The Delta Of Regulatory Data (Across Multiple Compliance Frameworks KYC, Dodd-Frank, EMIR, MiFID, FATCA, Canadian And APAC OTC Derivatives)
Mick Furlong, VP Client Success, Americas, Fenergo
6.Practical Approaches To Efficient Data Integration, Provenance And Management
Devesh Shukla, Global Head of Reference Data Product Development, Enterprise Solutions, Bloomberg LP
7. The Importance of Global Entity Data Management & Corporate Hierarchy for Risk & Regulation
Stan Kay, VP Global Alliances & Partnerships, Dun & Bradstreet
8. Machine Learning in Global Banking: Automating Standard Settlement Instructions (SSI) and Other High-risk / High-cost Processes
Adam Devine, VP Product Marketing, WorkFusion
Data Management, Regulations & Compliance
Sunday, January 4th, 2015
10:35 Panel Discussion: Demystifying Big Data—Solving Big Data Mysteries With Smart Data Clues
o Back to basics: what is big data and how do you use it?
o The smarter the linkages, the better the tools to understanding big data
o Relating the speed of information and tying immediate signals to reference data
o How aggregating and analyzing big data transforms into regulatory compliance
o Data analysis and targeted reviews for data quality (for audit) in big data
o The smarter the linkages, the better the tools to understanding big data
o Relating the speed of information and tying immediate signals to reference data
o How aggregating and analyzing big data transforms into regulatory compliance
o Data analysis and targeted reviews for data quality (for audit) in big data