In Analytics

By definition, situational intelligence implies several things:

First, “situation” suggests an understanding of what has happened in the past, what is happening now and what might happen in the future.

Next, since situations are inherently complex, they typically involve multiple assets, resources and events, many of which may exist outside the control of an organization.  The ability to correlate disparate data from many different systems and data sources is required to comprehend the scope and impact of situations.

Third, to acquire “intelligence” requires an understanding of what, when, why, how and where something happened or might happen.  Implicit in this understanding are the concepts of spatial analysis (e.g. “what is nearby?”), temporal analysis (e.g. “how has it evolved?”) and nodal analysis (e.g. “what is the impact on other assets/resources?”).

Situational intelligence incorporates and applies data and understanding from six different domains to assist organizations in solving complex, big data problems. These domains are:

  • Business Systems
  • Real-time Operations
  • Physical Locations
  • External Data
  • Analytical Models
  • Mobile Data

Situational intelligence systems commonly comprise three components:

  • Data gathering and normalizing: Organizations own and access many separate sources of IT, operations (OT), and external data.  These sources need to be brought together into a single environment and normalized so that they can be combined and correlated.
  • Data correlation and analysis: Once data from appropriate sources is gathered and normalized,  various data sets are correlated and analyzed within specific business contexts to solve problems and uncover new opportunities.
  • Data visualization: Rendering correlated and analyzed information in a combination of geospatial and tradition analytical formats gives users a fast and intuitive way to recognize what decisions must be made and what actions must be taken.

In summary, situational intelligence arms both business and technical personnel with timely and accurate information to make informed real-time decisions.

To learn more about situational intelligence, see this white paper.

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