Clalit Health Services, the largest health maintenance organization (HMO) in Israel, and believed to be the second largest HMO in the world, has learned the value of pulling business intelligence (BI) from its data stores to help the organization provide better care for its 3.8 million members as it supports more than 70 million customer interactions per year.
more at http://www.unisys.com/unisys/ri/cs/detail.jsp?id=12500004&pid=&sid=4100002%20
Consolidation of SQL Server instances and databases has become a common practice over the past few years. In most environments, this consolidation focuses on application-based databases that generally support OLTP workloads. But you should consider a completely different type of SQL Server use for consolidation: a data warehouse. With SQL Server, a data warehouse typically includes Analysis Services, but it usually has significant relational components as well.
EMC Expands Services and Solutions for Microsoft Business Intelligence, Data Warehouse and SQL Server Enables Timely and Relevant Business Insight Through Consulting Expertise and Validated Solutions for Presenting, Analyzing, and Cost Effectively Managing Data
more at http://www.reuters.com/article/pressRelease/idUS139560+04-Nov-2009+PRN20091104
Some topics just never seem to die, however much their demise is deserved. When you think you have heard the last of something, here it comes again, just like a bad penny.
Recently, I was at a conference, and I heard the following discussion about what a data warehouse was. One person suggested that a data warehouse was really all the old legacy systems connected by software that could access the data. By calling such a contraption a data warehouse, the organization could avoid having to do the hard and complex work of integration.
In today’s marketplace, the half-life of BI is typically shorter than the life of the project needed for its implementation. This means that companies are getting a continual negative return on their BI investment.
more at http://go.techtarget.com/r/9789197/5051818/7?kasid=1181810171480
This directory is designed to be a valuable resource for those getting started with research or evaluating optimized data warehouses. Inside, you’ll find basic information about vendors and the platforms they sell.
This paper compares traditional architecture Business Intelligence (BI) environments, physically layered data warehousing based on traditional general-purpose relational databases, to new specialized analytic databases. It argues that these new databases enable previously impossible analyses and often lower cost of implementation.
more at http://viewer.bitpipe.com/viewer/viewDocument.do?accessId=10797458
