Leveraging co-axial data sets for better operations using GIS

   2019-01-11       170        News & Media
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Continuing the deep dive into GIS based power distribution reforms, this post addresses two main challenges that GIS based technology intervention can help the power distribution utilities in.

Continuing the deep dive into GIS based power distribution reforms, this post addresses two main challenges that GIS based technology intervention can help the power distribution utilities in.

The primary challenge that a utility operator faces while kicking off the operations is related to the quality of legacy data that is handed over to him. From the experience till now, a lot is left to be desired on completeness as well as accuracy of the data. Further, one of the processes which are at the core for better service standards is that of asset maintenance.

To address the challenge of data, most of the utilities are seen scouring for data as their first step towards streamlining its operations. These data sets are collected by deploying multiple agencies based on the nature and category of the data that is to be collected.

For e.g. customer data in the CRM system is verified using the standard customer indexing process. This needs large on-field teams and substantial effort. Similarly, the process of on-field inspection and their traceability that is typically paper based creates gap in the overall asset maintenance as a function. Rightly tracking these field notes could go a long way in building a more reliable distribution function.

GIS based data system allows one to classify data into layers along with validations at the time of data creation/


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