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One of the most significant changes in the utility industry has been the evolution of meters to become an enterprise function that supports numerous key business activities and provides operational advantages.
FREMONT, CA: The evolution of metering from a simple component of the revenue cycle for the meter-to-cash use case to an enterprise function supporting several key business processes and giving operational benefits.
It is vital for utilities undergoing a digital transformation to have the right technology for mission-critical power operations and new customer-centric solutions. The chosen solution should be more than a standard MDM platform, serving as the energy industry's digital backbone.
A solution should be designed to offer users a perspective view of the future that creates new business models and use cases. And one that enables the integration of Machine Learning features with other Data Analytics-based solutions.
Modern technology for the contemporary market
Utilities reviewing their MDM solution should select one designed and constructed using the same cutting-edge IT technologies utilized by modern hyperscalers and social media applications. It should be prepared for infinite scalability and the greatest adaptability in the continually evolving utility industry.
Flexibility to facilitate the application of existing and future smart grid rules
The solution should be designed with flexibility in mind: a flex data model, smart integration, and the ability to easily configure use cases throughout the energy value chain in response to market, technological, and regulatory changes.
Integration without modification
There should be an integration layer to manage and monitor integrations and data transmission across MDM, MDC, and customer systems. This integration layer enables the utility to monitor the complete AMI/smart grid IT landscape and the end-to-end value chain (metering, collecting, meter data administration, billing, reporting to TSO, and market communication) across all associated systems, integrations, and data exchanges. This will lower project risks during execution and reduce operational complexity.
Advantages of adopting a managed cloud service
With traditional on-premises systems, infrastructure capacity must be designed in advance. The organization faces significant upfront expenditures and the weight of unused infrastructure from the outset of the project. A cloud solution allows infrastructure to be utilized on-demand.
Customers can execute highly intense analytical operations concurrently with highly intensive transactional base loads. The elasticity of the cloud solution enables automatic upscaling and downscaling of the required infrastructure, resulting in the lowest feasible costs for running transactional and analytical workloads involving customers' energy data.
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