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IBM Information On Demand 2011

Information On Demand 2011. The Premier Forum for Information and Analytics. May 31, 2011. JW Marriott Hotel| Hong Kong

Here’s your chance to learn how leading companies are driving success with business analytics and discover how you can get ahead of the trend that’s transforming how business is won.

Information On Demand 2011 is the premier conference for organizations applying information management and business analytics as a strategic driver for innovation, risk and cost reduction, business optimization and competitive differentiation.

Agenda
Time Topic/Speaker
2:30 p.m. - 3:10 p.m. Big Data. Deep Impact: Revolutionary Warehousing Approach for Insight

Finding crucial information to guide the best possible actions can mean analyzing billions of data points and petabytes of data, whether to predict an outcome or identify a trend through a sea of ambiguity. Using a true data warehousing and analytical appliance frees organizations from the complexity of data warehouse technology. When data management and analytics are made simple CIOs and their teams are free to create value from big data.

John Gillespie, VP and GM, Asia Pacific, Netezza, an IBM Company
3:10 p.m. - 3:40 p.m. Customer Sharing on Managing Data and Driving Insights

Competitive organizations are evolving by adopting strategies and methods for integrating database management, warehousing and business analytics in a way that supplements the spectrum of decisions made on a day-to-day and sometimes even moment-to-moment basis. In the keynote, our esteemed customer will examine how the business strategies catalyze building data platform for organizational optimization. The speaker will also share experience on re-shaping the data management landscape and driving competitive advantage through the insights from corporate data.

Patrick Wong, Head of BI & Analytics, Risk and Compliance Systems, HSBC Asia Pacific
3:40 p.m. - 4:00 p.m. Coffee Break & Booth Exhibition
Solution Track I:
Data Management & Integration
Solution Track II:
Warehousing to Analytics
4:00 p.m. - 4:30 p.m. Active-Active Zero Downtime and Unlimited Scalability with DB2 pureScale

IBM DB2 pureScale provides active-active high availability through data-sharing technology. With the solution, setting up a cluster takes a few minutes to complete and you can add additional servers by using just a single command. In this session, you learn what happens behind the scenes when you grow and shrink clusters and how you can pay for additional capacity by the day.

Daniel Ling, Senior Brand Specialist, Information Management, IBM HK
Netezza's Deep Dive: Getting Your Data Warehouse Up and Running in 24 hours

Netezza's true data warehousing and analytical appliances free organizations from the complexity of data warehouse technology. The session will show how this revolutionary approach transforms the data warehouse and analytics landscape with a platform built to deliver extreme, industry-leading price-performance with appliance simplicity. It is the new frontier in advanced analytics.

Chi-Chung Hui, Consulting Client Technical Professional, Information Management, IBM HK
4:30 p.m. - 5:00 p.m. An Effective Data Integration Strategy to Drive Innovation on the InfoSphere Platform

Information integration is the process of transforming data and content to deliver authoritative, consistent, timely and complete information, and governing its quality throughout its life cycle. In the session, the speaker will cover key technologies – such as real-time data replication – for delivering reliable, high-quality data to strategic target systems.
Simon Tang, InfoSphere Technical Manager, IBM GCG
Cognos and SPSS: Putting Business Analytics to Work

A lot has changed since business analytics came on the scene, promising to help IT deliver information to the business. Image that business decisions were made by executives with their fingers on the pulse of markets at all times. In the session, we will delve into the solutions for putting business analytics to work full time.

Simon Ng, Senior Client Technical Professional, Business Analytics, IBM HK

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