Jeanne Harris
Executive Research Fellow and Director of Research
Accenture Institute for High Performance Business
Competing on Analytics: Building Competitive Strategies around Data-driven
Abstract: Executives have more information at hand about their business environment than ever before. Oracle customers already store and manager huge amounts of data, but unless they are using it to "out-think" and "out-execute" their rivals, they are failing to exploit a potent competitive tool. Analytics - the extensive use of data, statistical and quantitative analysis, explanatory and predictive modeling, and fact-based decision-making - are moving to center stage as companies seek new strategies to differentiate themselves in the market.
In this presentation, Jeanne G. Harris explains how the frontier for using data has shifted dramatically as leading companies are learning to do more than just collect and store data in large quantities. She shows how high-performance businesses are now building their competitive strategies around data-driven insights that are, in turn, generating impressive business results.
Jeanne will describe how market leading firms use analytics - including organizations as diverse as the Boston Red Sox, Netflix, Amazon.com, Capital One, Harrah's Entertainment, CEMEX and Procter & Gamble - to trump rivals. Through analytics, these companies identify their most profitable customers, accelerate product innovation, optimize supply chains and pricing, and identify the true drivers of financial performance. Jeanne will also discuss the evolving competitive world of Competing on Analytics and the market opportunities for Oracle and other data-driven and analytical companies.
Biography: Jeanne Harris leads research in the areas of information, technology and strategy at the Accenture Institute for High Performance Business
She is the co-author of Competing on Analytics: The New Science of Winning (Harvard Business School Press, 2007), which explains how high-performance businesses are building competitive strategies around data-driven insights that are generating impressive business results.
During her thirty years at Accenture, Harris has consulted to a wide variety of organizations in many different industries worldwide. She has led Accenture’s business intelligence, analytics, performance management, knowledge management, and data warehousing consulting practices. She has worked extensively with clients seeking to improve their managerial information, decision-making, analytical and knowledge management capabilities.
Ms. Harris leads an ongoing major research study examining how enterprise systems enable analytical decision making, contribute to distinctive capabilities and drive high performance. Other recent research topics include talent management analytics, managing business processes analytically, predicting consumer preferences, the implications of alternative value models on corporate strategy, the link between IT and business value, automated decision-making and the IT implications of managing intangible assets. She speaks frequently on these topics to executive audiences.
Ms. Harris's work has been published in numerous business publications, including Harvard Business Review and Sloan Management Review. Her research has been quoted extensively by the international business press, including the Wall Street Journal, the Financial Times, Forbes Magazine, CFO Magazine, CIO Magazine, Computerworld and Nihon Keizai Shimbun.
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Usama Fayyad
former Chief Data Officer / Executive VP of Research & Strategic Data Solutions
Yahoo!
From Data Warehousing to Strategic Data Assets -- Case Studies on the Web: Social Networking, Direct-Response Marketing, and Understanding Customer Behavior
Abstract: The rise of the interactive media have created new challenges and opportunities for a new generation of companies. While new media offer a deeper mechanism for approaching the holy grail in marketing and advertising - understanding the customer's intent - the sheer volumes of the rich structure of available data expand the complexity of the classical data warehousing and Business Intelligence challenges. I will draw on some of the case studies at Yahoo! where we had the extreme challenge of dealing with one of the world's largest data streams: over 25 terabytes of data per day that had to be not only processed and stored, but utilized live to drive advertising targeting and personalization solutions.
We not only dealt with unique challenges (for example operating the world's largest Oracle database), but enabled new businesses and a new level of fusing data into the day-to-day operations of the business. This talk will also illustrate the need to shift to a different level of thinking about data: a new strategic dimension that is more critical than we have experienced before in terms of classical BI and Data Mining. These will illustrate new frontiers and opportunities, including the ability to evolve the business model of the future: the truly data-driven business.
Biography: Dr. Usama Fayyad was a member of Yahoo! Inc.'s senior executive team and the industry's first Chief Data Officer. He presided over the world's largest data streams (processing over 25 terabytes of data per day), In addition, Dr. Fayyad launched Yahoo! Research which has the mission of inventing the new sciences underlying the data-rich areas of Internet, Microeconomics of the Web, and Search and Information Navigation over the world's largest collection of knowledge: the world-wide web.
He is internationally recognized for his seminal work on the development data mining, machine learning algorithms and their scalability to massive database systems, and fundamental applications of data mining in scientific discovery and commercial database systems.
His contributions span fundamental technical innovation and significant large-scale applications of the technology in science data analysis, commercial practice, and commercial database systems. Dr. Fayyad's works include:
* Over 100 technical articles in machine learning, artificial intelligence, data mining and databases.
* Over 30 patents issued
* Co-editing two influential books in data mining and knowledge discovery.
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Juan Loaiza
Senior Vice President of Systems Technology Group
Oracle Inc.
Oracle Exadata - Extreme Data Warehousing Performance
Abstract: Oracle Exadata is a family of high performance storage software and hardware products that can improve data warehouse query performance by a factor of 10X or more. Oracle Exadata Storage is a combination of smart storage software from Oracle and industry-standard hardware from HP. Overcoming the limitations of conventional storage, Oracle Exadata uses a massively parallel architecture to dramatically increase data bandwidth between the database server and storage. In addition, smart storage software offloads data-intensive query processing from Oracle Database 11g Servers and does the query processing closer to the data. The result - faster, parallel data processing, and better business results.
Biography: Juan Loaiza, Senior Vice President of Oracle's System Technology Group, has worked in the database development organization at Oracle Corporation since 1988 and has contributed to every release since version 6. He is in charge of development of mission critical database capabilities including high availability and performance.
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Ray Roccaforte
Vice President of Data Warehousing and Business Intelligence Platform
Oracle Inc.
Oracle Database 11g for Data Warehousing and the HP Oracle Database Machine
Abstract: Oracle Database 11g is a comprehensive database platform for data warehousing and business intelligence that combines industry-leading scalability and performance, deeply integrated analytics, and embedded integration and data quality--all in a single platform running on a reliable, low-cost grid infrastructure. Learn how Oracle achieves the next level of Data Warehouse performance,
scalability, and ease of deployment with the HP Oracle Database Machine.
Biography: Ray Roccaforte, Oracle's Vice President of Data Warehousing and Business Intelligence Platform, heads all engineering of Data Warehousing and BI features and options for the Oracle Database. Ray's development teams include Partitioning, OLAP, Data Mining, Information Lifecycle Management, Analytic SQL features and much more. Beyond data warehousing and BI, Ray also leads development of the Optimizer, Parallelism and PL/SQL functionality of the Oracle database. Ray brings a unique perspective to his keynote address: he truly sees the big picture and will share it at the BIWA Summit.
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