CIS 429—Chapter 8
Accessing Organizational
Information—Data Warehouse
Accessing Organizational Information
• Applebee’s
– $3.2 billion annual sales
– 1500 restaurants in 49 states and 7 countries
– Sales data stored in a data warehouse
– Decisions made include
• Labor budgets based on number of guests
• Promotional sale item analysis
• Costs of food and use of ingredients
History of Data Warehousing
• Operational systems of the 1990s
– Accounting, order entry, customer service, sales
• Such systems not appropriate for business analysis
– Incomplete
– Not integrated
– Not ___________
– Poor quality
– Not designed for ___________
Data Warehouse Fundamentals
• Introduction
– Data warehouse
• A logical collection of aggregated information that supports
business analysis and decision-making
– Data warehouses compiled using ETL
• Extraction
• _________________
• Loading
– Data mart
• A _________ of data warehouse information
Data Warehouse Fundamentals (2)
• Multidimensional Analysis and Data Mining
– A data warehouse is a multidimensional database or a
________
– Querying a data warehouse can be faster than
querying a relational database
– Data mining
• Extracting more complex information from a data warehouse
– Data-mining tools find patterns and relationships in
large volumes of information
• Statistical tools
• ___________ agents
(http://en.wikipedia.org/wiki/Intelligent_agent)
Data Warehouse Fundamentals (3)
• Information Cleansing or Scrubbing
– Low-quality information costs U.S. businesses _______
billion annually
– Information cleansing and scrubbing finds and fixes
low-quality information
– Specialized software is designed to perform these
operations
Business Intelligence
• BI is information used to support ______________
• New technologies lead to increased amounts of
information
• Enabling BI
– Technology
• Hardware and software more available
– People
• Quality people in key positions to perform analysis
– __________
• Executives who encourage the wise use of technology