Data warehouse business drivers  
This session explores the key business drivers of data warehouse projects in different industry sectors. The business benefits of data warehousing are realised through the data warehouse applications that exploit the data that is integrated on the warehouse. This presentation addresses customer relationship management (CRM) applications including loyalty and retention analysis, customer/product affinity analysis, customer propensity analysis, customer value analysis, promotion impact analysis and advanced techniques for customer segmentation. In addition those applications that are oriented towards activity based costing and net margin analysis are explained and various warehouse database design approaches that support these applications are explored. Because so many data warehouse projects fail to deliver real business benefits a business-driven evolutionary methodology will also be explored and contrasted with competing approaches to data warehouse design and construction.  

The value of this presentation is that the business drivers and return on investment of data warehouse projects are discussed with reference to real warehouse implementations with practical examples of how these applications can be constructed and deployed in a data warehouse environment. For the purposes of illustrating these business drivers there will be a focus on the retail sector, the telecommunications sector, the financial services sector and the transport sector.  

The Data Warehousing Report Card  
If asked, what grade would you give your warehouse efforts? As we continue down the road of maturity of Business Intelligence we have an increasing requirement to evaluate our efforts. Our conference attendance grew by 300% during 1997. What does this growth mean? Does it mean we will experience 300% increase in data warehousing failures in 1998? Is this increase a indication of data warehousing adoption rates? Will these new comers to data warehousing make the same mistakes as the pioneers in data warehousing? What new trends will develop as the masses begin their implementation of data warehousing? What will the pioneers be doing during 1998? Will the supporting technologies begin to address the massive cost of maintaining a successful data warehouse? Will the experience of the pioneers be translated into shorter development times and package solutions? This presentation very appropriately reviews the current state of data warehousing and creates a report card of our efforts thus far.  

TDWI Survey Results and 1998 trends and directions 

The Data Warehousing Institute regularly surveys its members and the industry on data warehousing topics and trends and directions.  This session will explore some of the latest findings. Some of the survey data reviewed in this session will be: 

  • Roles and Responsibilities of Data Warehousing Professionals
  • Data Warehousing Hype to Substance Survey - What Is Important?
  • Choosing a Data Warehousing Consultant? 10 Mistakes to Avoid.
The above represent some of the latest information that TDWI has collected through research and surveys.  This session will explore some of the interesting findings throughout the last year.  

Richard A. Rist, Vice President of TDWI’s research and education, has more than 13 years experience with information and database systems.  Rist’s primary focus is on technology and strategic assessment of the data warehousing marketplace. Rist regularly works with TDWI membership answering questions and evaluating industry requirements against existing and new technologies. He also interacts with members to identify the needs and trends of the marketplace.  This market knowledge is used in supporting TDWI members as well as in companies developing products for the data warehousing market.  Rist represents a key role for TDWI’s strategic direction and consults as an expert on data warehousing for Caspar Weinberger’s World Business Review, a television show that regularly discusses the topic of data warehousing and how it is helping today’s businesses.