The need to process and analyze large volumes of data being generated is causing many businesses to expand the capabilities of their BI systems. Read why a next-generation BI system that utilizes multiple data sources and also offers predictive analytics can provide the needed guidance.

Read about Nucleus Research’s findings that organizations earn an average of $13.01 for every dollar spent on analytics applications such as business intelligence (BI), performance management (PM) and predictive analytics.

Analytic discovery technology enables analysis of multiple data sets of various sizes and structures and is similar to data mining. Discover how analytic discovery goes beyond data mining by enabling non specialists to explore data and gain insights.

This report explores how midsize companies are harnessing the power of business analytics to exploit more data, equip more business users with decisions support, and ultimately deliver substantial performance improvements.

IBM has again risen to the top of Hypatia Research’s leader board in this Voice of the Customer landscape update. Hypatia cites IBM for its “unrivaled” portfolio of software components, consultants and professional services.

See why organizations are increasingly recognizing that to be competitive, they need to be data-driven, for which they need not only strong analytics and BI capabilities at all decision levels, but also an effective way to transform data into information and ensure its optimal delivery.

Wikibon conducted in-depth interviews with organizations that had achieved Big Data success and high rates of returns. These interviews determined an important generality: that Big Data winners focused on operationalizing and automating their Big Data projects. They used Inline Analytics to drive algorithms that directly connected to and facilitated automatic change in the operational systems-of-record. These algorithms were usually developed and supported by data tables derived using Deep Data Analytics from Big Data Hadoop systems and/or data warehouses. Instead of focusing on enlightening the few with pretty historical graphs, successful players focused on changing the operational systems for everybody and managed the feedback and improvement process from the company as a whole.

This 2H-2014 Value Matrix by Nucleus Research evaluates all major BI vendors and their ability to deliver value based on usability, functionality and projects 6-month trends for each vendor to identify best-of-breed capabilities in various dimensions that have evolved in the marketplace.

Learn why IBM developed Watson Analytics, the differences between Watson Analytics and Watson and more in this IBM point of view paper.

IBM commissioned Forrester Consulting to conduct a Total Economic Impact (TEI) study and examine the potential return on investment (ROI) enterprises may realize by leveraging IBM InfoSphere Information Integration and Governance (IIG) solutions.

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Making changes to your business strategy can often create new risks. If your business continuity management (BCM) plan is not part of an organization-wide, integrated program, it may not evolve to address these new risks. Understand which practices can be followed to successfully protect your organization’s business operations and reputation with a proactive, business-centric approach to BCM that highlights critical practices.

As today’s organizations focus more intensely on their prospects and customers, the ability to collect and analyze customer information has become critical. Collecting and utilizing customer data is essential to developing a loyal customer base and optimizing product offerings. To better understand where organizations are on the path to developing a larger and more comprehensive data set about their customers and prospects, Slashdot Media fielded a Pulse survey to ask users how they are getting to know their customers better. Register now to read the results.