data model

our Control Tower is designed to optimize the utility of your IoT data.

 

To achieve the most innovative and impactful insights, and thus drive the biggest improvements in operational efficiency, an enterprise needs to aggregate external and internal data. All the initial IoT offerings in most sectors are ‘closed-loop’ services whereby data from a single source is analysed in isolation. The trouble with this is that it leads to multiple single ‘siloed’ solutions managing customers’ data in a highly decentralized and ungoverned way.

To take advantage of the shift from a product-centric IoT approach to a more data-centric one, Control Tower can best be described as an operational data space – it functions as a work space to leverage many of our customers’ data sources in combination… for example, connected device data can easily be queried alongside the likes of CRM or SFA data. The results of these queries can then easily be distributed into the field via mobile API.

drive improvement in execution by targeting resource and budget where it is really needed.

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