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.

Today’s data-driven organization is faced with magnified urgency around data volume, user needs and compressed decision time frames. In order to address these challenges while maintaining an effective analytical culture, many organizations are exploring cloud-based environments coupled with powerful business intelligence (BI) and analytical technology to accelerate decisions and enhance business performance. Register to access the report now.

Ziff Davis recently surveyed 302 IT professionals to gain insight into their big data and analytics strategies. The survey revealed that many organizations were struggling to move from planning phases to execution and suggested a number of possible pain points around big data initiatives.

IBM is at the forefront of bringing big data to midsize businesses. With business analytics software solutions that are robust, easy to use, and accessible to all users across an organization, you place the right tools in the hands of users who need it the most. Learn how IBM can help any business take a smarter approach to analytics and data-driven management with easy to use and powerful solutions built around IBM Cognos® and IBM SPSS software.

Ziff Davis recently surveyed over 300 IT professionals on the state of big data and analytics initiatives in their organizations. The results tell a compelling story: while most IT pros understand the value of big data, actually operationalizing their analytics strategies to deliver usable insights to their organizations remains a challenge.

At the risk of stating the exceptionally obvious: Without storage, we would have no digital data. From being very much—and so-named at the time—a peripheral to early batch-based and CPU-focused IT effort, storage is now front and center in contemporary IT. This paper reviews the increasingly popular OpenStack cloud platform and the abilities that IBM storage solutions provide to enable and enhance OpenStack deployments. But before addressing those specifics, it is useful to remind ourselves of the “whys and wherefores” of cloud computing.

The latest generation of IBM Power Systems, with POWER8 technology, is the first family of systems built with innovations that transform the power of big data and analytics, mobile, and cloud into competitive advantages in ways never before possible, putting data to work for you.

Big Data Analytics Solutions IBM Power Systems help today's enterprises deliver actionable insights faster with optimized solutions that process structured and unstructured data at massive scale.