Properly Manage a Data Warehouse
Data Warehousing started as a means for bringing enterprise data together at one place from fragmented legacy systems. Its original objective was to provide managers and analysts with periodic summary data for decision making. With the advent of E-Business its role changed to support online marketing via Web enabled systems. Then, analytical demands such as customer behavior pattern analysis grew rapidly.
A D V E R T I S E M E N T
In spite of its significance and growing demand the failure rate for Data Warehousing is very high. There are many technical, managerial cultural and organizational problems plaguing Data Warehousing. The lack of a sound business approach and a rush to deploy new technique or technology often causes failure.
This seminar starts with a business definition of Data Warehousing and discusses major problems and issues along with practical solutions. Since a data warehouse is different from traditional applications, its planning, requirements analysis and development require different method and skills. Simple and pragmatic methods for development are discussed.
Once a Data Warehouse is built, it is not an end but just a beginning of an implementation cycle. Data Warehousing in a way is like a retail store buying wholesale and selling retail. Unlike normal IT application systems, which usually have homogeneous and small user bases, Data Warehouses have vast user base with diverse culture, skills and needs. So it requires a different kind of implementation management.
The seminar brings PDC's 20 years of experience of management consulting experience and helping clients deliver value from Data Warehousing projects. The session will be interactive giving participants an opportunity do discuss their problems and issues.