big data

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.

Ethics for big data and analytics

Big data and analytics technology can reap huge benefits to both individuals and organizations—bringing personalized service, detection of fraud and abuse, efficient use of resources and prevention of failure or accident. So why are there questions being raised about the ethics of analytics, and its related technology, big data?

Big data ups the customer analytics game

This new commissioned study conducted by Forrester Consulting on behalf of IBM dives deeper into the trends surrounding big data and analytics to strategically examine the goals, challenges, and impact associated with customer analytics.

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.

Customer Analytics: The Role of Integrated Systems

This white paper outlines the latest customer analytics opportunities and challenges facing sales, marketing, and customer service decision makers. It draws on IDC's research into big data and analytics (BDA) business and technology trends and provides recommendations for organizations looking to improve their customer analytics initiatives. The paper also considers the role of workload-optimized systems as a technology platform to enable customer analytics and describes the IBM PureData System for Analytics as one of the leading workload-optimized systems in the market today.

Big Data and Analytics for a Holistic Customer Journey

The potential to leverage big data is unlimited. Each industry has its own unique challenges that can benefit from using big data for new insights and improved decision-making. This White Paper offers an in-depth discussion on how you can use big data analytics to enhance experience while boosting the bottom line. It includes informative case studies on how other companies have used big data analytics to delight their customers. And it helps you understand which IBM bigdata solutions might support your own company’s initiatives in digital marketing, multichannel engagement, and customer experience optimization.

Big Data Needs Agile Information And Integration Governance

This research report from Forrester Consulting, commissioned by IBM, examines the growing role of information and integration governance (IIG) to move big data from the realm of possibility to the reality of business outcomes. Forrester Consulting surveyed 512 business sponsors, business intelligence professionals and IT decision makers, finding that organizations are embracing IIG on the path to big data. This report examines successful IIG practices and offers insight for those on a big data journey.

Unlock Big Value in Big Data with Analytics

Authors John Hagerty and Tina Groves of IBM share some proven drivers of success in generating value with analytics on big data in this IBM Redbooks publication.

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