Special Interest Groups (SIGs) are authorized and established by the PARTNERS Steering Committee. The purpose of these sessions is to foster and encourage “interactive” dialogue among interested attendees who are using selected Teradata technologies, applications, or services. Topics have been selected by popular demand from Teradata customers.
Monday, September 19, 2005
7:30 – 8:30 AM
Teradata Backup, Archive and Restore (BAR) Special Interest Group
Location: Walt Disney World Swan
Room: Swan 10
Objective: Get an “interactive” conversation going with Teradata customers sharing experiences, challenges, techniques, best practices, around the various approaches and implementations using any of the various tape management applications for BAR. These can include, BakBone NetVault, IBM Tivoli Storage Manager and Symantec (Previously Veritas) NetBackup. Also, new architectures for LAN-based connectivity and Disk-to-Tape based backup and recovery can be discussed.
Description: The challenge of what data protection strategy is best for your environment today and in the future is continuing to expand in complexity, but the choices you have to address the challenges are also expanding.
Possible Topics for Discussion:
What do you see as the most significant challenges to achieving your BAR objectives?
Are you considering a more shared set of BAR resources or does dedicated Teradata resources work
best for your environment?
Do you have objectives to expand your BAR environment to integrate into your enterprise or your
company disaster recovery plans?
Are you satisfied with your current backup and restore timeframes?
What have you accomplished or implemented in the last twelve months that has been a positive
impact to your BAR operations?
What do you need to do your BAR operations better?
Are you considering Virtual Disk Libraries in your BAR architecture?
Capacity Planning & Management Special Interest Group
Location: Walt Disney World Swan
Room: Swan 4
Objective: Get an “interactive” conversation going with Teradata customers who are actively doing data collection and analysis for capacity planning purposes and are willing to share their capacity planning successes, challenges, tips and techniques.
Description: Controlling and predicting capacity is a key factor in managing systems for optimal performance and availability. Find out what others do, what works and how these practices can help you to plan for capacity leverage for performance management, as well as assist in cost-justification for meeting resource needs.
Possible Topics for Discussion:
What information are you collecting from Teradata for capacity planning purposes?
How have you been able to use this information to manage growth?
What difficulties have you had in predicting impacts of new users and new applications?
Any recommendations for those just getting started?
Customer Relationship Management Special Interest Group
Location: Walt Disney World Swan
Room: Swan 8
Objective: Participate in an “interactive” conversation with Teradata’s customers and prospects regarding the evolution of analytic Customer Management approaches and solutions.
Description: As CRM initiatives mature in companies, the challenge becomes how to enforce/allow/enable more cooperation and consistency across organizations, and continue to drive efficiency and automation. At the same time, the challenge is to become better at managing and responding to customer’s needs and expectations and improve their experience with a view of customer contribution to the business. Come join other Teradata users to discuss how Teradata serves as the platform for the following —
Possible Topics for Discussion:
The role of analytics in managing customer experience
How much is enough (how deep do you go )?
Where does the intelligence created, where is it used?
Collaboration
Who are the various users of an analytic solution?
Who prioritizes various initiatives?
How is the intelligence shared and exploited?
Channels
How are channel’s selected and integrated?
How are multiple channels managed (business needs, customer needs)?
How is consistency maintained ?
The role of Optimization
What are candidate areas for optimization?
How are decisions optimized and operationalized?
Data Quality Special Interest Group
Location: Walt Disney World Swan
Room: Pelican 1
Objective: Get an “interactive” conversation going with Teradata customers focusing on data quality, its impact on data warehousing and how to resolve data quality issues.
Description: Data Quality problems are a major cause of data warehouse issues, limitations and failures. Although the problem is being increasingly recognized by senior executives, many businesses cannot agree on the problems, who should own the problems or how to resolve them. Come joint other Teradata users to see how they addressed data quality issues to improve overall success with their data warehouse and BI initiatives.
Possible topics for discussion:
Who should own the problem?
What skills set are needed to support a DQ program
Who should be involved in a DQ program and where do you find these people?
How do start a data quality initiative?
How can you set priorities?
What are the common pitfalls you need to watch out for?
What are best practices for the Teradata environment?
How do you measure success?
Any tool suggestions?
Does it ever end?
Master Data Management (MDM) Special Interest Group
Location: Walt Disney World Swan
Room: Mockingbird 2
Objective: An “interactive” conversation with Teradata customers and prospects with a panel of experts regarding the current state of enterprise master data, including Global Data Synchronization (GDS), Product Information Management (PIM), Item Lifecycle Management (ILM), New Product Introduction (NPI) and Customer Data Integration (CDI). Discuss how the recent development of applications addresses the issues of synchronization, quality and authoring of reference data as well as the relevance of data warehousing as the central point to MDM.
Description: Customers have significant issues with management of reference data for the enterprise. There are recent developments of applications targeted at the problem of synchronization, quality and authoring of reference data. The panel will encourage the audience to describe the issues, problems and business impact of poor data management.
Possible Topics for Discussion:
The current approaches to managing MDM
The effects of poor MDM control and execution
The costs of supporting a custom vs. application approach to MDM
The ROI potential of MDM applications
The relevance of the data warehouse as the central point to MDM
Partitioned Primary Index (PPI) Special Interest Group
Location: Walt Disney World Swan
Room: Swan 7
Objective: Get an “interactive” conversation going between Teradata customers focusing on the usage's of PPI in customer applications, experiences, successes, challenges, tips and techniques.
Description: Partitioned primary indexes, introduced in Teradata Database V2R5.0, are becoming an important performance enhancing technique in many organizations. PPI can provide fast access to pertinent data, but where is it best applied? When has it been a good fit? What have been the challenges in using it? Where are you looking to use PPI?
Possible Topics for Discussion:
In what kind of applications is PPI being used?
How are you partitioning the data? What is the span of the partitions?
What have been your successes?
What are the roadblocks to success in using PPI?
Tips and techniques for using PPI?
What are the long-term goals of using PPI in your applications?
Profitability Analytics & Financial Performance Management Special Interest Group
Location: Walt Disney World Swan
Room: Swan 1
Objective: An “interactive” conversation with Teradata customers and prospects focusing on measurement and use of profitability metrics, key performance reporting and analysis, uses of financial information across the enterprise, and on the value of combining financial information with customer and operational data.
Description: To help you better understand the focus of this SIG perhaps a more appropriate title would be Performance Measures: How the Data Warehouse Provides a Common Foundation for Finance, Marketing, and Operations.
Our discussion will address a common challenge in many organizations - the disparate number of yardsticks used to measure departmental, customer, or product performance. Often marketing, operations, and other non-financial groups judge themselves against measures with no apparent relation to finance's data. By integrating all financial and operational data into a Teradata EDW, IT can provide finance, marketing, and operations with a common frame of reference for performance measures. As one of the more prevalent examples of this trend, attendees will focus on ways that marketing, finance, and IT can cooperatively develop profitability measures.
Possible Topics for Discussion:
What are the various types of profitability a company needs to view?
How do you approach and calculate key performance indicators such as customer profitability?
What is the value of linking finance, marketing and operational data together and how do you approach
doing this?
What are the challenges and advantages of linking finance data to marketing and operations and
marketing data to finance?
What kind of customer KPI’s feed performance management initiatives?
RFID/EPC Data Special Interest Group
Location: Walt Disney World Swan
Room: Mockingbird 1
Objective: To facilitate an “interactive” conversation with Teradata customers and prospects regarding the use of Serialized Data generated by RFID and the business value of bringing serialized data into the EDW.
Description: RFID is a transformational technology that is having far reaching consequences for retailers and their supplier partners. Key questions must be answered, and benefits realized before serialization becomes the norm. Today the questions are many and the answers are few, so come join other companies to hear how they are addressing the capture, use and business value creation in serialized data.
Possible Topics for Discussion:
Implementation costs vs. the benefits generated
What will be the tipping point for true adoption across multiple channels
How will global standards accelerate the adoption of the EPC
Values of the data generated beyond the operational level
SAP-Teradata Special Interest Group
Location: Walt Disney World Swan
Room: Swan 3
Objective: Get an “interactive” conversation going with Teradata customers and prospects who share the goal of understanding integrating data and applications across their SAP and Teradata environments.
Description: The SAP and Teradata Global Technology partnership is helping companies integrate their SAP and Teradata systems to reduce cost and create valuable business insights. In this SIG, we will open with an update on the current SAP certifications that Teradata has completed since last year's SIG and our current roadmap for development. Next, we will have joint Teradata and SAP customers share their experiences of how they have integrated the two technologies and highlight the business benefits received. Finally, SAP representatives will be on hand as we open the floor for any questions for them and our panelists and gather suggestions for future development.
Possible Topics for Discussion:
Which of the current certified integrations works when?
Who has already integrated SAP and Teradata? At what levels? What were the pros and cons of doing
so, based on their experiences?
In addition to what has already been completed, what are Teradata and SAP doing, and what should
they do, to make the technical integration of the two systems easier?
What are the primary business benefits of integration – where can you get the most bangs for the
buck? How can you plan now to prove the ROI of integration?
What should be the long-term goals for this partnership?
Siebel-Teradata Special Interest Group
Location: Walt Disney World Swan
Room: Swan 2
Objective: Get an “interactive” conversation going with Teradata customers and prospects to identify and discuss the opportunities, challenges and implications of integrating Siebel CRM data and Siebel Customer Analytic Applications and Siebel Business Analytics Platform with the Teradata Warehouse.
Description: Many Teradata customers and prospects have Siebel CRM applications, such as Siebel Call Center or Siebel Sales Force Automation. However, these applications and the Analytics that support them are often separate and disconnected from your Teradata Warehouse infrastructure. This session will explore the opportunities, challenges and best practices of implementing Siebel Business Analytics platform and applications in the Teradata Data Warehouse.
Possible Topics for Discussion:
What are the best practices for implementing Siebel Business Analytics in the Teradata Data
Warehouse?
How do you properly size your system?
What are the factors determining the data model that works for you?
What are the approaches to consider when integrating the Siebel Business Analytics data model with
the Teradata enterprise data warehouse?
What are key requirements for reporting and analytics to support Siebel applications?
What are the benefits that have been seen by those who have done it?
Workload Management Special Interest Group
Location: Walt Disney World Swan
Room: Swan 9
Objective: Get an “interactive” conversation going with Teradata customers sharing experiences using both Priority Scheduler and Teradata Dynamic Query Manager (known as Teradata Dynamic Workload Manager in V2R6) to manage mixed workloads. Discuss challenges, techniques and novel solutions that have arisen from varied strategies. Find out how other Teradata users have approached similar situations as you yourself have.
Description: As Teradata systems become more diverse and complex, workload management takes on a more critical role. Administrators specializing in implementing Priority Scheduler and Teradata Dynamic Query Manager will benefit from hearing experiences of others working in the same areas. This session, which offers an open and free-flowing discussion among beginning and advanced workload administrators, was a major success last year, and we expect a full house again this year. Get there early to get a seat!
Possible Topics for Discussion:
What kinds of Query Resource or Workload Limit rules are working for you?
Are your expectations being met using Query Milestones?
Anyone using CPU limits? How? With what result?
Any experiences to share from V2R6?
Any recommendations for those just getting started?
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