Guide to Data Warehousing and Business Intelligence
What is Business Intelligence? What is a Data Warehouse? This paper introduces BI and DW concepts. It puts Data Warehousing into a historical context and discusses the business drivers behind this powerful new technology.
This paper explains how data is extracted from operational databases using ETL technology, cleansed, loaded into a data warehouses and made available to end users via conformed data marts and various data warehousing tools.
This paper discusses "front end" Data Warehousing tools and applications such as OLAP, Scorecards, Dashboards, Spreadsheets, Report Writers, Data Mining and custom built application systems.
Web Analytics uses data from your web server and your corporate databases to help you make better strategic and tactical decisions. Much business intelligence can be obtained by understanding who is visiting your website.
Confused about Data Warehouse terminology and concepts? This section provides brief definitions of commonly used data warehousing terms such as: Data Mart, Data Warehouse, ETL, Dimensional Model, Relational Model, Data Mining, OLAP.
Learn about other emerging technologies that can help your business. Topics include high-speed Internet connectivity, Relational Databases and Database Management Systems.