As the information age matures, data has become the most powerful resource enterprises have at their disposal. Learn how to leverage a trusted analytics foundation to achieve all your insight-driven goals.
A look into how machine learning and deep learning techniques can impact the way companies implement metadata discovery and business term assignments using the IBM Unified Governance & Integration platform.
IBM test data management (TDM) services are designed to satisfy the demands of enterprises trying to take advantage of test data and environment management solutions for complex IT deployments. TDM services cater to test data discovery, subset production, masking, test data refresh, automation of
Meeting today’s dynamic data requirements goes beyond technology that focuses on operational capture, decision-support-oriented consumption, and data governance. Enterprise architects need to take into account a wider array of data sources and establish a performance measurement plan that tracks
In October 2014, Forrester Consulting worked with IBM on a commissioned study to analyze the total economic impact that IBM’s Information Management solutions have on three specific big data use cases to help its customers solve important business problems.
Through interviews and data aggregation
For many enterprises System z is central to modern analytics because of the vast quantities or rich data stored upon it, not to mention excellent qualities of service.
Carl Olofson, an IDC analyst, looks at the role of the mainframe in relation to big data, how it has become a hub for modern day
How to define data strategy, align business goals and prioritize winning projects
How should a chief data officer (CDO) start formulating and deploying a strategy to put data at the center of the business?
This ebook provides insights and recommendations for the CDO in three areas: strategic
Big data and analytics technology can reap huge benefits to both individuals and organizations—bringing personalized service, detection of fraud and abuse, efficient use of resources and prevention of failure or accident. So why are there questions being raised about the ethics of analytics, and
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of
With 2.5 quintillion bytes of data created every day, organizations cannot wait to establish business-driven protection policies for keeping data safe. The rising volume of data and the growing number of analytics systems storing sensitive data exponentially increases the risk of breaches. IBM®
More data, more problems? Not if you have an agile, automated information integration and governance program in place. Automating information integration and governance and employing it at the point of data creation helps organizations boost confidence in their big data. A solid information
How data lifecycle management complements a big data strategy
Information integration and governance solutions must become a natural part of big data projects. As the foundation of the IBM big data platform, IBM® InfoSphere® Optim™ provides market-leading functionality across all the capabilities
While the term “big data” has only recently come into vogue, IBM has designed solutions capable of handling very large quantities of data for decades, leading the way with data integration, management, security and analytics solutions known for their reliability, flexibility and scalability.
This research report from Forrester Consulting, commissioned by IBM, examines the growing role of information and integration governance (IIG) to move big data from the realm of possibility to the reality of business outcomes. Forrester Consulting surveyed 512 business sponsors, business