Watch this brief webcast to see how Group Credit Agricole of Moroccodeployed IBM XIV and halved response times, cut 6-hour batch runs down to 3.25 hours, and reduced administration. 

Check out this webcast from IBM as it discusses the advantages of implementing a holistic approach to data risk management, and provides both the “why” and “how” to begin putting a holistic data risk management program to work in businesses of all sizes. 

The Solvency II Directive was rolled out to protect consumers by promising that insurance companies maintain sufficient funds to meet all claims. Complying with the risk management portion of the initiative can be difficult for insurance companies. This paper details how Unum implemented an operational risk management solution to address this. 

This brief paper outlines how Mercury Medical vaulted into the 21st century through implementing IBM Cognos Express for midmarket companies, resulting in a boatload of benefits, including cost and time savings. Read this now to gain more insight into why Mercury sought this solution and learn how you can achieve similar results. 

As more people cross more borders – physically and virtually – the need to implement a reliable human identity system for proper verification becomes crucial. Read on to see how IBM dissuades credential abuse while helping customs, border management and law enforcement organizations ensure the safety and security of citizens and workers. 

As the fastest growing segment in the business intelligence software industry, analytics are red hot. This white paper introduces the big data analytics opportunity, big data integration challenges, and the data virtualization solutions that can address these challenges. 

When IBM Cognos users complement their deployments with formal training services, end users become more productive, report building costs are reduced, and more end users adopt IBM Cognos tools such as BI and PM. 

BI empowers companies with the ability to offer products and services at the lowest cost and with the greatest amount of efficiency and productivity possible- while returning the highest revenues and profits. Learn how BI can help you to establish a culture of measurement and begin a powerful cycle of continued improvement within your organization. 

While data warehouses are important for many types of analytical systems, they aren’t always necessary. Building a data warehouse can dramatically increase the cost of a BI project. This paper describes data warehouses, along with many other options for placing relevant, timely information in the hands of business users. 

BY relying on a comprehensive set of organizational capabilities, top performing companies are able to plan, implement, and manage their BI strategies more efficiently, ultimately leading to a lower cost per user, and a higher return on their BI investment. 

No, IBM is not going on the game show circuit, but IBM will make Watson’s full human language understanding deep question and answer system (DeepQA) available to healthcare in the near future for many use cases benefiting providers and payers.