
|
AGENDA
9.30 to 10.30 AM: Opening Keynote Emerging Trends and Technologies in the Business Intelligence Market Business Intelligence is undergoing an evolution. Get to know the key trends that will drive BI in organizations, as well as the most important emerging BI technologies, and which vendors will provide them. Also learn discuss how organizations can begin to meld emerging trends into existing architectures.
10.30 to 11.00 AM: Networking/ tea Break
11.00 to 11.45 AM: Design and Implementation Challenges In this session, we’ll walk through techniques to solve tricky design and implementation challenges for integration problems. We’ll be able to discuss a limited number of challenges during this hour, so to increase the odds that we’ll cover your particular challenge, send it in advance to
11.45 to 12.45 PM: Integrating Business Intelligence into Line-of-Business Applications Find out how to create business intelligence systems easier than ever. In addition to using those systems for reporting and analysis, it is now possible to utilize that collected business knowledge within line of business systems. This session presents practical examples of ways to utilize multidimensional and data mining data sources within transactional systems. Examples includes no-code data validation, fuzzy-logic look up and grouping, and predictive analysis.
12.45 PM to 1.30 PM: Lunch
1.30 PM to 2.15 PM: Integrating Search and Business Intelligence
You have data, everywhere. You need to get that data into the hands of your users to drive decision making. In this session, you will hear how you can use search capabilities to provide users access to the data they need and enhance your business intelligence applications. We will give an overview of the search, and then provide a technical walk-through of how to setup and configure search including federated search, and the business data catalog.
2.15 PM to 3.00 PM: Best Practices for Data Warehousing
How to improve performance, scale, and manageability in data warehousing? This session gives insights into performance improvements, partitioned table parallelism improvements, enhanced loop join parallelism, partition-aligned indexed views, data compression, backup compression, resource governor, and other enhancements. This talk explains how to use these features together, along with good data warehouse design principles, to solve your high-scale data warehouse problems most effectively. Speakers: Dhritiaman Saha, Director - Business Intelligence, Target Corporation Sri Vellimedu, General Manager - Business Intelligence & Target.Com, Target Corporation
3.00 PM to 3.30 PM: Tea/ Coffee
3.30 to 4.15 PM: Implementing MDM for BI and Data Integration
In this session, learn how the existing methods and practices in place with the data warehouse can be expanded to support (and strengthen) Master Data Management (MDM). Learn how the MDM and BI combination makes sense and where the combination presents risk. When done right, not only can the data warehouse strengthen an MDM effort, but MDM can breathe new life into your data warehouse. You also get to learn the "hidden gems" of the data warehouse—how to leverage existing development practices for MDM success and the different approach to data quality, data correction, and integration in an MDM and DW environment. Speaker: Raj Nandyala, CEO, Creative Probers
4.15 to 5.00 PM: Tips & Tricks Here’s a session that can serve as a convenient best practices reference for BI architects/ developers. Six attendees, chosen by way of voting, will be given opportunity to present for 10 minutes. They share tricks of trade and their experiences. You can learn hands-on from the people who have did it themselves.
|
| Platinum Sponsor |
![]() |
| Gold Sponsor |
![]() |
| Media Partner |



