Authors John Hagerty and Tina Groves of IBM share some proven drivers of success in generating value with analytics on big data in this IBM Redbooks publication.
Whitepapers & Reports
Learn how IBM Business Analytics software supports organizations when accessing big data, interacting with it to discover and visualize patterns and trends, and performing advanced analytics.
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.
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
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.
The arrival of big data into the enterprise has had a major impact on enterprise information protection as new data stores have emerged, increasing the distribution of data and the complexity of securing and protecting that data along with it. Big data has forced companies to have to define new requirements when it comes to both data management and enterprise information protection. It is now harder to protect sensitive data as it may move around between different transactional and analytical data stores as companies create new analytical workloads. Read this paper by Mike Ferguson of Intelligent Business Strategies to learn how IBM System z can help secure your data.
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.
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.
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.
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.