Navigating Big Data to Uncover the Right Information Is a Key Challenge for Enterprises
IBM estimates 2.5 quintillion bytes of data are created every day from a variety of sources, including sensors, social media and billions of mobile devices around the world, making it difficult for businesses to navigate and analyze it.
IDC estimates the market for big data technology and services will grow at an annual rate of nearly 40 percent to reach $16.9 billion by 2015.
Vivisimo has more than a decade of experience and innovation in data navigation and visualization technologies for both structured and unstructured data. And Vivisimos ability to index and search data across multiple repositories is a distinguishing capability, IBM said.
Once you discover a pattern using a product like Vivisimo, you may need to productionalize or persist your findings in a traditional DW [data warehouse], and then build reports and dashboards for further analysis using traditional BI technologies, Evelson said. This is where IBM may be looking to integrate Vivisimo with their InfoSphere and Cognos products.
Vivisimos Velocity search complements IBMs analytic tools for discovering the information nuggets that are often obscured by the rapidly increasing volumes of corporate and associated social media data, said Mike Davis, a senior analyst at Ovum.
Vivisimo has more than 140 customers in industries such as government, life sciences, manufacturing, electronics, consumer goods and financial services. Clients include Airbus, U.S. Air Force, Social Security Administration, Defense Intelligence Agency, U.S. Navy, Procter & Gamble, Bupa and LexisNexis.
Upon the closing of the acquisition, approximately 120 Vivisimo employees will join IBM's Software Group. IBM will incorporate Vivisimo technology into its big data platform.
IBM's announcement of its plans to acquire Vivisimo comes just weeks after its last analytics acquisition. On April 13 IBM announced an agreement to acquire Varicent, a provider of analytics software for compensation and sales performance management solutions. IBM has made a host of prior analytics-related acquisitions, including Algorithmics, Clarity Systems, OpenPages, Cognos and SPSS.
IBM anticipates business-analytics revenue for the company will reach $16 billion by 2015. Big Blue has been building its R&D and acquisition assets to define this new business opportunity.
The IBM big data platform is based on the open-source Apache Hadoop framework, which enables applications to work with thousands of computational independent computers and petabytes of data. The IBM platform makes it easier for data-intensive applications to manage and analyze petabytes of big data by providing users with an integrated approach to analytics, helping them turn information into insights.
The IBM big data platform provides users with an array of advanced business analytics, Hadoop-based analytics, stream computing, data warehousing, integration, visualization, systems management, governance and consulting services.
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 health care. 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.
As predicted in our 2012 Trends to Watch research, vendors are now clearly seeing the benefits of investing in tools to help organizations navigate big data, Ovums Davis said. Since its inception, weve highly rated the search technology from privately held Vivisimo. Cloudera is respected for providing not only a distribution of the open-source Hadoop platform for big data, but also for delivering the support, professional services and training that enterprises require before they will deploy open-source software.