Analytics

IBM Big Data & Analytics in the insurance industry: Santam Insurance

Santam Insurance estimated that fraud accounts for 6-10 percent of all their premium revenue.

IBM Big Data & Analytics and manufacturing

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.

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.

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.

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.

Measuring and Acting on Data to Improve Healthcare Outcomes

The ability to access, manage, connect and understand this data to create actionable insights is critical to improving care and outcomes. This case study looks at how a healthcare alliance of more than 2,700 hospitals and 90,000 additional healthcare facilities enhanced data sharing and analytics through big data technology.

Analytics: The Real-world Use of Big Data

IBM’s Institute for Business Value (IBV) and the University of Oxford released their information-rich and insightful report “Analytics: The real-world use of big data.” Based on a survey of over 1000 professionals from 100 countries across 25+ industries. Links to blog and podcast.

Debunking Myths about Data Scientists

Some people think data scientists are mythical beings, like unicorns, or they are some sort of nouveau fad that will quickly fade. Not true, says IBM big data evangelist James Kobielus.