Changing The Game
Big Data and Analytics Platforms: Examples, Drivers and Opportunities for Financial Services firms
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What happens when you unlock the incredible power of today's low-cost parallel computing architectures?
A new set of opportunities are emerging. Using big data and powerful analytic platforms, firms are freeing themselves from processing bottlenecks, saving fortunes decommissioning legacy database platforms and harnessing the power of real-time and predictive analytics to deliver game-changing business outcomes.
Relational databases have long been the standard for the management and analysis of enterprise data. Yet growing data management, competitive and regulatory pressures have pushed traditional relational databases to their limits. Now new technologies have emerged with economic and business implications that are impossible to ignore.
Hadoop has become popular because it provides a cost-effective way for organisations of any size to reliably store and access large volumes of data. However, even Hadoop has its limitations; purpose-built to facilitate certain forms of batch-oriented distributed data processing, it was built on fundamentals which limit its ability to perform analytic processing. Modern analytics platforms act as a kind of 'exoskeleton' for Hadoop, allowing rapid development of analytic workflows running at scale on Hadoop infrastructure to provide more insightful and timely business applications.
Attend this event to learn how firms are combining modern software and analytical techniques to gain competitive advantage, reclaim hours of internal processing time, meet regulatory change, and how you too can ultimately deliver transformational business outcomes.
Who should attend?
- CIOs, IT and business executives
- Enterprise, application and information architects
- Data scientists and quantitative analysts
- BI and performance management specialists
[sessions in detail]
1.30pm Welcome coffee, networking
2.05pm Accelerating Big Data 2.0: today's challenges
Steve Shine, CEO, Actian
2.30pm The future of investment banking: accessing the information advantage
Rebecca Healey, Senior Analyst, TABB Group
2.55pm High-performance analytics
Sanjeev Aggarwal, RBS
3.20pm Coffee, networking
3.50pm Directed decision-making for wealth management & capital markets using real-time predictive analytics
Laks Srinivasan, COO, Opera Solutions
4.10pm Using predictive analytics for customer retention
Sam Croker, Data Scientist, Actian Analytics Centre of Excellence
4.30pm Groundbreaking hybrid analytics: Harnessing real-time models for adaptive decision-making
Michael Sandoval, CEO, Atigeo
4.50pm Hadoop in financial services - use cases
Simon Gregory, Director of Business Development, Hortonworks
5.10pm Look, no MapReduce! High performance analytics & ETL in Hadoop. Overview & demonstration.
Lawrence Stoker, Senior Consultant, Actian
5.30pm Event wrap-up, networking drinks, canapés
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