White Papers & Reports

Threat Prediction and Prevention Solution Framework from IBM

Threat prediction and prevention solution framework from IBM can help intelligence and homeland security agencies uncover security threats and take action prior to the execution of malicious and damaging activity. Read this brochure to learn the key components of the solution and how you can uncover and respond to nonobvious patterns and relationships.

Gartner Inc. Magic Quadrant for Data Masking Technology

IBM InfoSphere Optim is a leader in Gartner Inc's Magic Quadrant for Data Masking Technology. InfoSphere Optim received the best ranking in the ability to execute and completeness of vision categories compared to competitors. Gartner reports that data masking should be mandatory for enterprises using copies of sensitive production data for application development, analytics or training. 

Moving Up the Digital Marketing Maturity with Big Data Analytics

Much of the big data evolution is being driven by the vast commercial possibilities of the Internet. The scope and pace of change suggests the advent of an even more fundamental shift, focusing the broader advertising community on a series of critical questions: How can data most effectively be used to address core business needs? Where can this data be sourced? How can it be shared, optimized and enhanced for analysis and monetization? This paper makes it clear.

Converting Big Data Hype into Big Value with Analytics: BI Research

Big data analytics not only can improve business decision-making and enhance business innovation but it's also what provides the business value for big data. Download this white paper by Colin White, president of BI Research.

Innovating with Operational Intelligence: Deriving Competitive Advantage from Business and IT Event Data

Is your organization a real-time enterprise? In a recent benchmark study, nearly all organizations (89%) said it is important or very important to discover and analyze relationships between business events and corresponding IT events. Yet, only 67% of organizations can capture IT events, and fewer than that (56%) can capture business events. Used properly, operational intelligence enables people to make better, faster decisions and it makes it possible for automated processes to respond effectively to events by using business rules and incoming event information. Download this independent report on operational intelligence best practices and the potential benefits of faster, more accurate operational decision-making for competitive advantage.

Big Data Comes of Age

Everyone is talking about big data, but here is a research report that gives facts on what is really going on with big data. EMA Research & 9Sight Consulting conducted a study of business and IT professionals, inquiring about their big data plans and implementations. The report details the obstacles, strategies and approaches identified by the respondents.

Big Data Analytics for Communications Service Providers

This paper defines what big data analytics mean to Communications Service Providers (CSPs), provides an overview of their most valuable uses in telecommunications, outlines what companies must look for as they adopt new big data analytics solutions and discusses how IBM can help.

Big Data Analytics: Disruptive Technologies for Changing the Game

Unlike many other Big Data Analytics blogs and books that cover the basics and technological underpinnings, this e-book brings a practitioner’s view to Big Data Analytics. The author has drawn the material from a large number of workshops and interviews with business and IT leaders.

Architecting a Big Data Platform for Analytics

How do businesses address the challenges of growing volume and variety of data? How can I introduce new data sources and workloads into my architecture? How do I achieve better time to value and agility in my infrastructure?

If you're wrestling with these and other related questions, I recommend you look into a newly released paper called, “Architecting a Big Data Platform for Analytics” by industry analyst Mike Ferguson of Intelligent Business Strategies. In this paper, Ferguson explores the requirements and considerations for building an enterprise big data analytic ecosystem. Considering more than 20 years of market maturity, the paper addresses the challenges facing businesses with multiple data warehouses and data marts.

Analytics: The real-world use of big data

The Saïd Business School at the University of Oxford and the IBM Institute for Business Value conducted this global survey of more than 1100 business and IT executives. The study highlights the phases of the big data journey, the objectives and challenges of organizations taking the journey, and the current state of the technology that they are using to drive results. It also offers a pragmatic course of action for organizations to take as they dive into this new era of computing.