From tragedy to triumph
Adversity inspired this year's Enterprise Excellence Award winners to create break-through solutions
What's the connection between the global credit crisis and a murder in Chapel Hill, NC? They were both catastrophic events, which spurred two SAS customers to develop imaginative solutions to seemingly insurmountable problems. Read on to find out why the North Carolina Office of the State Controller and the Royal Bank of Scotland Group (RBS) are the SAS 2011 Enterprise Excellence Award winners.
North Carolina Office of the State Controller
CJLEADS provides a complete, up-to-date profile of offenders by consolidating criminal justice data to provide a single source of information that agencies can access easily and securely via the Web, enabling everyone from police to prosecutors to quickly know whom they're dealing with and what their history is – and, perhaps, prevent future tragedies. Because SAS hosts CJLEADS, the state can focus on business requirements, rather than the infrastructure.
"Feedback from the criminal justice and law enforcement communities statewide has been overwhelmingly positive," says Kay Meyer, Project Director for the OSC. "We've heard many examples of how CJLEADS led to arrests and saved time and money. CJLEADS supports more efficient, better-informed decisions and improved public safety for North Carolina citizens."
Royal Bank of Scotland
RBS Technology Services led the vision to create a groupwide SAS analytical platform for RBS. This platform will enable the RBS Group to maximize the value of their data transformation program and deliver a common analytical framework for current and future programs, thereby empowering decision makers to utilize analytics across all the business units and channels by providing insight into customer needs. The analytical information generated will help the company's employees develop stronger relationships with its 25 million customers by more closly matching services and products to individual requirements, improving risk assessment and forecasting future demands and scenarios based on proven models.
This story appears in the Third Quarter 2011 issue of