Banks need to get smarter, attract the right customers, implement customer level risk management, and implement risk adjusted customer relationship pricing and all of this is dependent on trusted data. This paper examines the impact of unreliable data on retail banks. It then defines the requirements needed to guarantee data reliability in banking. 

The USDA Rural Utilities Service and NTIA jointly announced the availability of funding and application requirements for the broadband initiatives contained in the American Recovery and Reinvestment Act (ARRA) of 2009. Read on to learn about the RUS grant program, its requirements, and how Motorola can work with you toward an RUS approved grant. 

Read how using DataFlux technology, this financial company implemented a data governance program, creating more complete and accurate data and drastically reducing the time needed to comply with Federal reporting regulations. 

Southern Management Corporation, a financial services company providing tax and loan services, required a tight lockdown of their cache of personal and confidential customer data, while allowing for easy administration from the small IT staff managing a widespread network. WatchGuard provided the perfect solution. Read on to learn how they did it 

In this podcast, learn how two leading data modeling tools compare and how utilizing advanced data modeling improves productivity, standards compliance and knowledge sharing. 

This presentation transcript compares two leading data modeling tools and demonstrates how advanced data modeling improves productivity, standards compliance and knowledge sharing. 

This paper describes the Dell Reference Architecture, a blueprint or a starting configuration, for Microsoft® Exchange Server 2007 in a virtualized server environment and provides guidelines for designing and sizing the storage for the same using Dell EqualLogic PS Series storage systems. 

This paper covers projects involving new construction or upgrades to the data center’s physical infrastructure - the power, cooling, and other physical systems that house and protect the data center’s IT equipment. 

In order to ensuring the EDW will get the optimal performance and will scale as your data set grows you need to get three fundamental things correct, the hardware configuration, the data model and the data loading process.