ARMONK, N.Y. April 25, 2012 IBM Pittsburgh, Pennsylvania
Vivisimo software excels in capturing and delivering quality information across the broadest range of data sources, no matter what format it is, or where it resides. The software automates the discovery of data and helps employees navigate it with a single view across the enterprise, providing valuable insights that drive better decision-making for solving all operational challenges.
Today’s news accelerates IBM’s big data analytics initiatives with advanced federated capabilities allowing organizations to access, navigate, and analyze the full variety, velocity and volume of structured and unstructured data without having to move it.
The combination of IBM’s big data analytics capabilities with Vivisimo software will further IBM’s efforts to automate the flow of data into business analytics applications, helping clients better understand consumer behavior, manage customer churn and network performance, detect fraud in real-time, and perform data-intensive marketing campaigns.
Vivisimo brings over a decade of experience and innovation in data navigation and visualization technologies for both structured and unstructured data, making it easier for business users to get value from all of their data and content. Vivisimo’s ability to index and search data across multiple repositories is a distinguishing capability, applicable to all industries and clients.
IBM’s big data platform is based on open source Apache Hadoop. The platform makes it easier for data-intensive applications to manage and analyze petabytes of big data by providing clients with an integrated approach to analytics, helping them turn information into insights for improved business outcomes.
The platform provides clients with the industry’s broadest array of advanced business analytics, Hadoop-based analytics, stream computing, data warehousing, integration, visualization, systems management, governance, and consulting services.
IBM’s approach to big data challenges is differentiated as it blends traditional data management technologies that are well suited for structured, repeatable tasks, together with complementary new technologies that address speed and flexibility, and are ideal for data exploration, discovery and unstructured analysis.
IBM is expanding its big data platform to run on other distributions of Hadoop, beginning with Cloudera. Cloudera is a top contributor to the Hadoop development community, and an early provider of Hadoop-based systems to clients across a broad range of industries including financial services, government, telecommunications, media, retail, energy and healthcare. As a result, Cloudera Hadoop clients can now take advantage of IBM’s big data platform to perform complex analytics and build a new generation of software applications.
For more information on IBM’s big data platform, visit ibm.com/bigdata.