Polls and Surveys: Who’s Missing In Our 2013 #BigData landscape?

Published on April 25, 2013 by R "Ray" Wang

Big Data Vendors Seek To Move From Data To Decisions

The move from Data to Decisions examines the enablement of data-driven decisions across the entire organization.  Holistic, data-informed decisions require a multi-diciplinary approach that incorporates performance monitoring with traditional business intelligence technologies. Gather key insights from your data, transform insights into actionable information, and then make the right decisions (see Figure 1).

Figure 1. The Shift From Data To Decisions

Source: Constellation Research, Inc. (right click to see the expanded image)

Four Sub Categories Emerge In The Big Data Landscape

Little shortage of solutions and vendors exists in the burgeoning big data  market. At last count, Constellation found 200+ vendors claiming to provide solutions.  As part of our research, we’re looking at big data in 4 sub categories (Figure 2):

  • Data sources. Information providers, structured data, content management, and unstructured data.
  • Information and orchestration. Acquisition tools, BI Appliances and VLDW, No SQL/New SQL, and governance.
  • Insight. Analytics and BI Visualization Tools.
  • Decisions and actions. Decision management, BPM, and CEP.

Figure 2. The Big Data Solutions Landscape

Source: Constellation Research, Inc. (right click to see the expanded image)

Your Help Requested

Between now and May 15th, we’re looking to complete this market overview and mapping. If we’ve missed a vendor or solution you are using, please let us know. In return for your time, we will add you to our Newsletter and include you in our Big Data Research panels (if you are a buyer).  For vendors who think we’ve missed them, we’re more than happy to take a look and see what you have.  Click here to mail feedback



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  • Yes, there are a lot of moving parts to effective use of big data. My sense is that the contribution of data acquisition, analysis tools, hardware acceleration, governance and BPM represents the maturing of the plumbing. Many of the analysis techniques haven’t changed except for performance and integration for many years: data mining, statistical analysis, OLAP etc.

    The critical value comes from visualization and semantic understanding. The next wave in big data insight will come from semantic understanding of structured and unstructured data and social streams.

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