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.
Whitepapers & Reports
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.
Using IBM Security Intelligence with Big Data, security organizations can analyze more data more flexibly, and gain more accurate results. By analyzing structured, enriched security data alongside unstructured data from across the enterprise, the IBM solution helps find malicious activity hidden deep in the masses of an organization’s data, for advanced threat and risk detection.
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.
IBM® InfoSphere® BigInsights™ helps firms discover and analyze business insights hidden in large volumes of a diverse range of data. This data—including log records, clickstreams, social media data, news feeds, email, electronic sensor output and even some transactional data—is often ignored or discarded because it’s too impractical or difficult to process using traditional means. BigInsights, based on Apache Hadoop, helps firm analyze such data.
With the rise of big data, predictive analytics market plays an even greater role in decision-making. See how Forrester ranks the top 10 vendors in this space.
Big data environments create significant opportunities along with security challenges. There are risks and threats to the repositories containing data, much of which is financial, personal, intellectual property or sensitive data and subject to compliance regulations. Learn tips on how to secure big data environments.
Technology in the energy and utilities industry is becoming increasingly advanced, including that of smart meters and smart grids. Although the evolution of these technologies provides companies with tremendous business insight, they also generate unprecedented data volume, speed and complexity. This white paper examines the business requirements, technical challenges and IBM solutions for a variety of data-driven decision-making and planning imperatives for companies in this industry.