Big Data Use Cases

Harnessing the power of big data and analytics for insurance

Big data and analytics help insurance companies identify the next best action for customers. With the right solutions, companies can extract, integrate and analyze a large volume and variety of data, from call-center notes and voice recordings to web chats, telematics and social media.

The Forrester Wave: Big Data Hadoop Solutions, Q1 2014

According to the report, IBM brings "advanced analytics tools, a global presence and implementation services" that make BigInsights a "complete big data solution that will be attractive to many customers." Read the report to see why IBM InfoSphere BigInsights was named a leader and how it stands in relation to other big data Hadoop vendors.

AARP transforms its business intelligence infrastructure

AARP needed to transform its traditional BI infrastructure into a dynamic, blazing-fast environment which could assist with improved member documentation and recognition, accurately match services and product offerings to member needs and deliver value-added packages to targeted customer demographics.

With IBM Big Data & Analytics, AARP modernized its business intelligence infrastructure ultimately achieving a 347% ROI in three years. 

Analytics: A blueprint for value - Converting big data and analytics insights into results

In today's competitive marketplace, executive leaders are racing to convert enterprise insights into meaningful results. Successful leaders are infusing analytics throughout their enterprises to drive smarter decisions, enable faster actions and optimize outcomes. In this exciting new piece of research, the IBM Institute for Business Value surveyed 900 business and IT executives from 70 countries. Through our research, we identified nine levers that together enable organizations to create value from an ever-growing volume of data from a variety of sources – value that results from insights derived and actions taken at every level of the organization.

Technology Innovations for Enhanced Database Management and Advanced BI

This is a research report by noted industry analysts Claudia Imhoff, Intelligent Solutions, Inc., and Colin White, BI Research. IT leaders need to review and enhance their information architecture to support requirements fueled by big data, advanced BI and other innovations. Examine the What, the Why, and the How behind these innovations to exploit the potential for improved business efficiency with IBM DB2.

Addressing Government Challenges with Big Data Analytics

Big data is already being collected by many government organizations— and new data is being generated at rapidly accelerating rates. The ability to perform analytics on big data enables government organizations to improve existing processes and operations, and engage in entirely new types of analyses that weren’t possible before.

Tapping the Power of Big Data for the Oil and Gas Industry

Organizations in the petroleum industry are no strangers to large volumes of data. With the right technology solutions, these companies can move beyond traditional real-time monitoring to more agile real-time prediction. By rapidly analyzing incoming technical and business data—and applying that information to complex models in real time—they can generate tactical insights that help increase drilling and production performance while preventing problems. By quickly searching and analyzing a large volume and variety of competitive intelligence, such as news about competitive mergers, acquisitions or new investments, they can substantially improve strategic decision making.

The Future of Insurance: How Big Data and Cognitive Computing are Transforming the Industry

Today, two major factors are poised to change the insurance industry in a way it hasn’t seen in more than 50 years—emerging capabilities enabled by cognitive computing and big data, and an empowered consumer. We are starting to get a glimpse of the possibilities these trends hold, as well as the challenges they represent. To understand their full impact on the future of the insurance industry, we need to look at the past to understand how paradigm shifts in the insurance industry follow paradigm shifts in the underlying computing technology. If history is any indication, these technologies will usher in a new paradigm for the insurance industry.

Book: Harness the Power of Big Data

Harness the Power of Big Data is the latest book by several authors of Understanding Big Data, the hugely popular book that debuted in 2011. Big data represents a new era of computing – an inflection point of opportunity where data in any format may be explored and utilized for breakthrough insights - whether that data is in-place, in-motion, or at-rest.

Harness the Power of Big Data includes a chapter titled "If Data Is the New Oil—You Need Data Exploration and Discovery." This chapter covers many of the key benefits of IBM InfoSphere Data Explorer, a new product in the IBM big data portfolio that enables users to access all of the data that they need in a single integrated view, regardless of its format, how it’s managed, or where it’s stored. Being able to retrieve data from all available repositories in an organization is a key part of doing analysis involving Big Data, especially for exploratory analysis. 

Download the full e-book Harness the Power of Big Data

Authors: Paul Zikopoulos, Dirk Deroos, Krishnan Parasuraman, Thomas Deutsch, David Corrigan, James Giles

Data-driven healthcare organizations use big data analytics for big gains

Rising costs, chronic illness, an aging population and a shortage of professionals are forcing massive changes in the healthcare industry. To gain insight into how they can improve service while reducing costs, healthcare payers and providers are turning to data and analytics. Leading organizations are treating data as a strategic asset and putting processes and systems in place that help healthcare professionals improve decision-making and drive actionable results.

This paper discusses the value that data and analytics provide, and gives examples of organizations that are already leveraging a wide range of big data capabilities to deliver clinical and financial benefits. Readers will learn the steps that organizations should take to become data-driven and the capabilities that IBM provides to help them improve business outcomes.

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