A successful credit card company must be able to accurately assess its credit risk at any given time. Having an up-to-date picture of which clients may default on payments is critical to this process, not only amongst new applicants, but existing customers too.
Credit Card Company Improves Risk Management to Boost Bottom Line using Predictive Analytics
Those who attended the PASS 2009 summit likely saw the announcement about the new Parallel Data Warehouse features for Microsoft SQL Server 2008 R2 (previously codenamed Madison).
If you weren't at the summit, however, and you have a large data warehouse that needs more horsepower than a single server can provide, then the Parallel Data Warehouse edition of R2 is something that you might want to look into.
http://searchsqlserver.techtarget.com/tip/0,289483,sid87_gci1378253,00.html#
Presentation Transcript: Data Warehousing Basics for SQL Server Analysis Services
more at Presentation Transcript- Data Warehousing Basics for SQL Server Analysis Services
In this E-Book, data warehousing and BI expert Rick Sherman explains how you can take advantage of BI trends to ensure that you get the right information to the right people at the right times, so they can make the best possible decisions.
more at E-Book- Five Technology Trends for Improved Business Intelligence Performance
Today's Dashboards can deliver what users and the organization as a whole need to know so as to understand their current business and even conduct informed forecasts.
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.
