Customer Analytics

Mine your big data to generate big opportunities

DB2 with BLU Acceleration will provide a solid foundation on which to build your big data strategy. 

Big data and analytics in the insurance industry: Westfield Insurance

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.

Four ways big data and analytics transform marketing

Acquire, grow and retain customers with IBM Big Data & Analytics.

Big data and analytics in the manufacturing industry: The Vaasan Group

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.

Data, analytics and the insurance industry

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.

Big data, analytics and the retail industry: Luxottica

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.

First Tennessee Bank: Applying analytics to drive higher ROI from market programs

Leveraging predictive analytics, First Tennessee Bank is combining a granular understanding of the needs of customer segments with real P&L data to optimize its marketing spend, focusing on programs that deliver the highest ROI.

Why infrastructure matters for big data and analytics

The world of big data is expanding quickly and adding value requires establishing speed and confidence in every decision, interaction and process.

Acquire, grow and retain customers with IBM Big Data & Analytics - Client Examples

Are you effectively converting your audience insights into added value for your consumers? 80% of CEOs believe they deliver a superior customer experience, but only 8% of their customers agree.

Big Data in Retail: Examples in Action

This use case looks at how savvy retailers can use "big data" - combining data from web browsing patterns, social media, industry forecasts, existing customer records, etc.