A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Shared Services Common Data Model to Deliver Advanced Analytics
Smart cities generate large amounts of data from various services and hardware. Data is generated and collected from Advanced Meter Infrastructure (AMI), Weather Stations, SCADA systems, and transportation systems for example. Within each of these data domains cities have many hardware and software vendors to pick from, each with their own proprietary method to store and share data. High resolution data provided by technologies such as AMI meters create the opportunity to deliver new distribution network and customer analysis that were not possible previously; however, the delivery of these advanced analytics projects has been challenging. While the identification of advanced analytics use cases is generally agreed upon across utilities, execution of these services is typically delivered in a case-by-case basis depending on chosen vendors and ability to integrate the necessary systems and data. For smaller utilities this often renders the service costs out of reach. By creating and leveraging a standardized analytical data model focused on delivery of advanced analytics services rather than the vendor's software and hardware needs, economies of scale are realized across large and small utilities, reducing costs and the barrier of entry into advanced analytics and data driven decision making.
Shared Services Common Data Model to Deliver Advanced Analytics
Smart cities generate large amounts of data from various services and hardware. Data is generated and collected from Advanced Meter Infrastructure (AMI), Weather Stations, SCADA systems, and transportation systems for example. Within each of these data domains cities have many hardware and software vendors to pick from, each with their own proprietary method to store and share data. High resolution data provided by technologies such as AMI meters create the opportunity to deliver new distribution network and customer analysis that were not possible previously; however, the delivery of these advanced analytics projects has been challenging. While the identification of advanced analytics use cases is generally agreed upon across utilities, execution of these services is typically delivered in a case-by-case basis depending on chosen vendors and ability to integrate the necessary systems and data. For smaller utilities this often renders the service costs out of reach. By creating and leveraging a standardized analytical data model focused on delivery of advanced analytics services rather than the vendor's software and hardware needs, economies of scale are realized across large and small utilities, reducing costs and the barrier of entry into advanced analytics and data driven decision making.
Shared Services Common Data Model to Deliver Advanced Analytics
Gall, Brad (author) / Tucker, Chad (author) / Massey, Beth (author)
2022-09-26
254192 byte
Conference paper
Electronic Resource
English
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