How do you balance the need for business agility against the real-time availability of essential big data insights, without impacting your mission critical systems?
For the past five years, the IBM Institute of Business Value has conducted an annual survey to better understand the value of data within an organization. What have we learned so far? What will we learn in 2014? Take the survey by Aug.
DB2 with BLU Acceleration will provide a solid foundation on which to build your big data strategy.
Hadoop is not a platform for data integration. As a result, some organizations turn to hand coding for integration, or end up deploying solutions that aren’t fully scalable.
As a top U.S.-based insurer of property, casualty and surety, Westfield realized progress depended on gaining a better understanding of their business. With The Analytics Resource Center (ARC), data is now more accessible, encouraging decisions based on hard evidence rather than intuition.
Acquire, grow and retain customers with IBM Big Data & Analytics.
The Vassan Group struggled to accurately forecast fluctuating sales orders across the Nordic region. As a result, they couldn't effectively plan their resource and production schedule. With IBM Big Data & Analytics, Vaasan gained the ability to predict production requirements and prepare for fluctuating orders ultimately fulfilling 30 percent more orders.
Mueller needed a customer-focused approach to sales and more data transparency so information could easily be shared throughout the company. With IBM Big Data & Analytics solutions, Mueller empowered all employees to view and analyze company data in near real time, measure individual performances and assess how their work affects the bottom line.
With increasing numbers of people turning to social media to reach out to insurance companies, Security First sought a way to better manage its interactions over Facebook, Twitter, LinkedIn and email policyholders in the wake of a catastrophic event.
Luxottica Retail North America is the world's largest designer, manufacturer, distributor and seller of luxury and sports eyewear. To make better use of the data on its 100 million customers, and increase marketing effectiveness, Luxottica turned to IBM.