14.8. EXERCISES
Match the columns:
information discovery mode
data warehouse tourists
query recasting
data warehouse explorers
downstream application
overall enterprise management
verification mode
casual user
data warehouse miners
queries
EIS
needs intuitive interface
plan, execute, assess
confirm hypothesis
information pull technique
analyze large data volumes
need status of indicators
highly random access
parse and improve query
data mining
Compare the usage and value of information in the data warehouse with those in operational systems. Explain the major differences. Discuss and give examples.
Examine the potential users of your data warehouse. Can you classify the users into casual users, regular users, and power users? If this method of simple classification is inadequate, discuss how your users may be classified.
Among the potential users in your data warehouse, whom can you classify as tourists? What are the characteristics of these tourists? How can you provide information for the tourists in your organization?
What do you understand about the information delivery framework in the data warehouse environment? As an end-user information delivery specialist, discuss how you will establish such a framework for a heathcare maintenance organization (HMO).
Get DATA WAREHOUSING FUNDAMENTALS: A Comprehensive Guide for IT Professionals now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.