Financial Services Data - Use It or Lose It

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Presentation at Data-Intensive …

Presentation at Data-Intensive
Computing, Graphs, and
Combinatorics in
Bio-Informatics, Finance,
Linguistics,
and National Security
Tuesday–Wednesday, July 26–27, 2011

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  • 1. Financial Services Data - Use It or Lose It! CUNY High Performance Computing Center (HPCC) Workshop on Data, Graphs and Combinatorics in Bio-Informatics, Finance, Linguistics and National Security July 26-27, 2011Proprietary and Confidential. Not to be distributed or reproduced without permission www.sungard.com/globalservices
  • 2. Why Am I Here? Professional Personal 14+ years of SunGard #2 in 2010 development on Wall FINTECH 100 Street Intersection of Global Services Advanced Products & Services Technology & across the FS Information spectrum Management Practices Development + Exploring impacts of Databases + Data Big Data approach Warehousing + for past 2+ years Trading + Risk ManagementProprietary and Confidential. Not to be distributed or reproduced without permission www.sungard.com/globalservices 1
  • 3. Why Are We All Here? “Interpol and Deutsche Bank, FBI and Scotland Yard; Business, Numbers, Money, People; Crime, Travel, Communication, Entertainment; Computer World!” - Kraftwerk 1981Proprietary and Confidential. Not to be distributed or reproduced without permission www.sungard.com/globalservices 2
  • 4. Financial Services & Typical “Intensive” Problems Wholesale Retail Portfolio Construction Demand Forecasting Price Forecasting Targeted Marketing Risk Calculation Compliance Surveillance Compliance Surveillance Batch Processing Batch ProcessingProprietary and Confidential. Not to be distributed or reproduced without permission www.sungard.com/globalservices 3
  • 5. Data & Compute Intensity in FS What creates this Two flavors of intensity Two flavors of intensity intensity? overload management •Inter-machine parallelism & •Algorithmic Complexity •Unacceptable elapsed run time distribution •Time Series •Grids •Calculus •Herculean efforts to pare down •BigData •Graphs size of input data set •Sharding •Memory vs. Disk Arbitrage •Semantic Inefficiency •Inefficient physical data •Intra-machine hardware structures acceleration •Semantic starvation •GPUs •FPGAs •Other (Cray, etc…)Proprietary and Confidential. Not to be distributed or reproduced without permission www.sungard.com/globalservices 4
  • 6. Implementation Constraints in FS Legacy Burden RDBMS Centricity • Architectures, • Jailed semantics, languages, tools, rigidity and specificity systems, skills Data Silos Cost of Change • You don’t own that • Evolution is the only data, I do answerProprietary and Confidential. Not to be distributed or reproduced without permission www.sungard.com/globalservices 5
  • 7. Are We Close to Breaking Free of these Constraints? Has a New Era Begun? • Has financial crisis created a new era of information transparency that requires a new approach to comply? • Are the economics of “cloud computing” disruptive enough to truly commoditize computing power? • Will relational databases one day be seen as the “stone age” of information management? Or Are We Plagued By the Current State? • The cost of maintaining simple data relationships, with staunch determinism and specificity • The effort required to design, store and consume richer information semantics • The disconnect between computing power and information abstractionProprietary and Confidential. Not to be distributed or reproduced without permission www.sungard.com/globalservices 6
  • 8. The BigData Thesis in FS • New technology not burdened by the past, with non-linear economic Why the allure? advantages at scale Why the marketing • The markets need another source of wealth creation hype? How is innovation • By disrupting the past marketed? • Replacing 35+ years of relational R&D What is hype? • Solution for semantically limited representation of data in current state • Designed for more rapid scalability with “cloud” economics What is reality? • Reducing the time it takes to process data to both formulate questions and produce answers at scale • Can BigData solve existing challenges in FS that couldn’t be solved before? Theses • Can BigData create new solutions in FS, unachievable with earlier incarnations of technolgy?Proprietary and Confidential. Not to be distributed or reproduced without permission www.sungard.com/globalservices 7
  • 9. Is BigData Enough or do we need Smart Data? Smart Data (?) • Better relationship persistence ? BigData (-) • Better relationship utility & consumption? • Doesn’t address semantic capability • Deeper economic shortfall impacts? • Legacy migration cost • Non-linear return on BigData (+) investment? • Re-training effort • Cheaper to store • Linear return on investment • Cheaper to index • Cheaper to access in bulkProprietary and Confidential. Not to be distributed or reproduced without permission www.sungard.com/globalservices 8
  • 10. The Opportunity in FS - A Second Look Cloud Economics • Are Here Competition Consumer • Won’t Wait Data Success Stories • Are Noted Digital Exhaust Social Media • May Also Have • May Have Some Some Signal Signal in all that NoiseProprietary and Confidential. Not to be distributed or reproduced without permission www.sungard.com/globalservices 9
  • 11. Financial Services Data - Use it or Lose it! Solving linear problems yields linear returns • Solving for scale doesn’t automatically solve for semantics • Moore’s Law millionaires are in their 50s and 60s now…do you really want to bet on a 30 year-old strategy? Go beyond the RDBMS, Go beyond BigData • It’s the richness and practical utility of relationships that create non-linear economic growth and technology returns • Think Semantics, Think Relationships, Think Graphs $$$ • A new era of transparency is creating a competitive new era of monetized “digital exhaust” • Farm relationships in the data you own or data you control • Conquer the legacy constraintsProprietary and Confidential. Not to be distributed or reproduced without permission www.sungard.com/globalservices 10
  • 12. Maximize Your Return on Relationships! Image Courtesy of @ValdisKrebsProprietary and Confidential. Not to be distributed or reproduced without permission www.sungard.com/globalservices 11
  • 13. In Closing, The Challenge To Us All Our Finite Collective Effort in Industry & Academia • Devote effort to game changing solutions with “non- linear” returns Our Solution Focus across Academia & Financial Services • Addressing adoption constraints should be just as important as the implementation itself Financial Services Data • Use it or lose it!Proprietary and Confidential. Not to be distributed or reproduced without permission www.sungard.com/globalservices 12
  • 14. Contact Info John Avery, Partner, SunGard Global Services John.Avery@SunGard.com On Twitter @john_averyProprietary and Confidential. Not to be distributed or reproduced without permission www.sungard.com/globalservices 13
  • 15. COPYRIGHT STATEMENT Copyright © 2011 by SunGard Data Systems (or its subsidiaries, “SunGard”). All rights reserved. No parts of this document may be reproduced, transmitted or stored electronically without SunGard’s prior written permission.Proprietary and Confidential. Not to be distributed or reproduced without permission www.sungard.com/globalservices 14