Data Warehousing ExplainedData Warehouses are increasingly used by enterprises to increase efficiency and competitiveness. Using Scorecarding, Data Mining and OLAP analysis, business value can be extracted from Data Warehouses. Generating positive return-on-investments (ROI) from Data Warehouses requires a blend of business intuitiveness and technical skills. This web site covers strategies and technologies that will enhance the ROI of Data Warehousing.Future of Data Mining- (Found July 2, 2008 ) From obscurity to center stagehttp://www.dwreview.com/Data_mining/Future_data_mining.html Introduction to OLAP- (Found July 2, 2008 ) Slice, Dice and Drill!http://www.dwreview.com/OLAP/Introduction_OLAP.html Selecting an OLAP Application- (Found July 2, 2008 ) Minimizing risks in the product selection processhttp://www.dwreview.com/OLAP/OLAP_Selection.html Planning for a Data Warehouse- (Found July 2, 2008 ) Starting a Data Warehousing Project Three words - Plan, Plan and Plan!http://www.dwreview.com/Articles/PlannningDW.html Designing OLAP Solutions- (Found July 2, 2008 ) MOLAP, ROLAP, HOLAP and other acronyms!http://www.dwreview.com/OLAP/OLAP_Comparison.html Introduction to Metadata- (Found July 2, 2008 ) Case study of an implementation in the insurance industryhttp://www.dwreview.com/Articles/Metadata.html Integrated Data Mining and OLAP for MySQL- (Found July 2, 2008 ) Case study for using DAT-A in the retail industry for data mining. Also included in the article is an overview of a data center built on Linux boxes instead of servers.http://www.dwreview.com/Data_mining/Review_Data.html Evolution of Analysis - Microsoft's NetScan and Project Aura- (Found July 2, 2008 ) Data mining, OLAP and reporting combined!http://www.dwreview.com/Data_mining/Microsoft_netscan.html Data Warehouse Project Management- (Found July 2, 2008 ) Listen, Listen, Listen to the Stakeholdershttp://www.dwreview.com/Articles/Project_Management.html |