Technology

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. 

Client approaches to successfully navigate through the big data storm

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. 

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.

Analytics: A Blueprint for Value - Executive Overview

This 2013 IBM Institute for Business Value study surveyed 900 businesses and IT executives from 70 countries, asking more than 50 questions. The questions were designed to reveal how to translate high-level concepts associated with delivering exceptional business value through analytics into actions that can truly deliver value.

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.

Hadoop is better with Big SQL from IBM

Hadoop is a great technology for analyzing huge amounts of data. Hadoop can be hard to use. Big SQL brings the power of SQL to Hadoop.

IBM Big SQL Technology Preview Program

IBM Big SQL Technology Preview program provides an easy convenient way to get familiar with SQL for Hadoop technology.

Presentation: 5 Keys to Making Big Data Production-Ready

Production-ready big data = Big data deployment that is prepared for delivery into a production IT environment. When preparing data, there are five things to keep in mind to help realize the full operational potential of big data.

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.

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