With a wealth of information readily available online, consumers are now better able to compare products, services and prices—even as they shop in physical stores. If retailers succeed in addressing the challenges of “big data,” they can use this data to generate valuable insights for personalizing marketing and improving the effectiveness of marketing campaigns, optimizing assortment and merchandising decisions, and removing inefficiencies in distribution and operations.
Whitepapers & Reports
Big data offers organizations new ways to use enterprise data to deepen business insights and extend competitive advantage. Yet many companies are unsure of where to start. An IBM® Readiness Assessment for big data is designed to help. Available at no charge in half-day, single-day or multiday sessions, a Readiness Assessment for big data brings together your IT and line-of-business managers with IBM big data experts in a highly interactive engagement that will help initiate your big data operations.
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.
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.
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.
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.
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.
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.
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.