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.
Big Data Use Cases
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.
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.
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.
Big data is becoming an important “natural resource” for insurance companies. If they can simplify the discovery, extraction and refinement of big data, they can empower users to easily run queries and generate new insights that help transform the business.
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.
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.
Authors: Paul Zikopoulos, Dirk Deroos, Krishnan Parasuraman, Thomas Deutsch, David Corrigan, James Giles
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.
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.
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.