What are Data Warehouses?  What is Business Intelligence? 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.  It contrasts DW with conventional systems.

Data Warehousing Tools

There is no point building a Data Warehouse unless the right information gets to right people via the right channel at the right time.  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.

Much business intelligence can be obtained by understanding who is visiting your corporate website and how the website is being used.  Web Analytics leverages  data from your web server and data from your corporate databases to help you make better strategic and tactical decisions.

Confused about DW concepts and terminology?  This section provides definitions of some commonly used data warehousing terms such as: Data Mart, Data Warehouse, ETL, Dimensional Model, Relational Model, Data Mining, OLAP. 

Learn about other some other emerging technologies that can help your business.  Topics include high speed Internet connectivity, broadband telephony and high definition television.