IBM Spatiotemporal Visual Analytics Workbench       

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IBM Spatiotemporal Visual Analytics Workbench - overview


Our world is getting smarter

Today, with the widespread adoption of location aware device, we have the technology to measure, sense and monitor, almost anything. Sensors generate lots of information about business events, from shipment delivery, temperature reading, accident, crime, to vehicle movement. Time and Location are integral part of the event data.

Do you leverage this data to optimize your business?

What is Visual Analytics?

Visual Analytics aims at extracting insight from large data sources via smart combination of automatic algorithms and interactive visualization.

Visual analytics is especially useful when you need to address the "unknowns" in your business or when automatic pre-canned analyses are not effective for the job.

By relying on human capabilities such as perception and domain knowledge, Visual Analytics lets users to interactively explore the data and generate hypotheses while leveraging traditional methods from knowledge discovery data mining, artificial intelligence, statistics and mathematics.

The role of visualization is twofold:

  • A user interface for interactive discovery and for steering the computational side
  • An effective interface to display the results.
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    Understanding change in a dynamic world

    Change takes place in many dimensions simultaneously. Location-aware devices record the change in time, space and other attributes of the data in your business.

    Visual Analytics lets you unveil the dynamics of your business. The combination of innovative and interactive visualizations, with smart analytical algorithms such as event analysis and movement analysis, enables to take raw spatiotemporal data, and turn it into information, and then into insight.

    IBM Spatiotemporal Visual Analytics Workbench

    IBM Spatiotemporal Visual Analytics Workbench converts raw data into interactive visualizations that are comprehendible by domain experts. The key capabilities include:

  • Support for multiple data layers
  • Interactive visualization, including filtering, highlighting, and selection
  • In-context analytical algorithms
  • Capturing and communicating insight
  • Converting insight from historical data into live event monitoring rules
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