The cost of collecting any kind of data is too high, the quality of the data isn’t always good enough, and it remains difficult to integrate multiple data sources. Our solution can help enterprises solve these issues related to the data that they need and eventually, making sense out of it.

Cross vertical analytics is design driven solution which helps in drawing a meaningful relationship between different IoT verticals by analyzing the data from all the sensors of different technologies: presence, lighting, traffic, environment, parking etc.

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This solution provides templates for various verticals in IoT although it is built for being domain agnostic. It helps data scientists and SMEs to get insights by leveraging a gamut of algorithms.

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The algorithm architecture is extensible and can be used by any third party to add their own algorithms as per the need.

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The system comes pre-populated with various analytics algorithms – descriptive, predictive and prescriptive.

Features:

  • A user can create various analytic projects targeting a gamut of domains. This is the one stop to get the list of all such projects and then to dive into any one of those.
  • Users can run different sorts of algorithms on data from different sources and create a very powerful mashed up reports with numbers as well as inferences.
  • Users can configure the data sources for any project, from more than 10 different databases that we connect to.