White Papers & Reports

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.

Whitepaper: Better business outcomes with IBM Big Data & Analytics

Five years ago, IBM observed that the planet was becoming increasingly instrumented, interconnected and intelligent. In response to these changes, IBM developed the IBM® Smarter Planet® initiative. The goal of this new venture was simple—to help everybody benefit from building a smarter planet. Twenty thousand engagements later, IBM has gained critical knowledge of how big data and analytics can improve outcomes for individuals, organizations in nearly every industry, and society.

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.

Book: The MDM Advantage: Creating Insight from Big Data

To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.

Book: Data Protection for Big Data Environments

With 2.5 quintillion bytes of data created every day, organizations cannot wait to establish business-driven protection policies for keeping data safe. The rising volume of data and the growing number of analytics systems storing sensitive data exponentially increases the risk of breaches. IBM® InfoSphere® has evolved information integration and governance to help organizations create and enforce real-time data security and privacy policies to keep customer, business, personally identifiable information and other types of sensitive data safe.

Book: Understanding Big Data So You Can Act with Confidence

More data, more problems? Not if you have an agile, automated information integration and governance program in place. Automating information integration and governance and employing it at the point of data creation helps organizations boost confidence in their big data. A solid information integration and governance program should include automated discovery, profiling and understanding of diverse datasets to provide context and enable employees to make informed decisions. IBM® InfoSphere® is designed to do all of these things by evolving information integration and governance to meet the challenges presented by big data.

Download Understanding Big Data So You Can Act with Confidence

Book: The Fundamentals of Data Lifecycle Management in the Era of Big Data

How data lifecycle management complements a big data strategy

Information integration and governance solutions must become a natural part of big data projects. As the foundation of the IBM big data platform, IBM® InfoSphere® Optim™ provides market-leading functionality across all the capabilities of information integration and governance, including a comprehensive range of capabilities enabling companies to properly manage big data and implement best practices for enterprise-scale data lifecycle management.

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