This document will continue to evolve as existing sections change and new information is added. All updates appear in the following table:
| Date | Module | Feature | Notes |
|---|---|---|---|
| 02 MAR 2023 | Created initial document. |
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Smart meters, the influx of new assets, electrification, decarbonization—these trends are resulting in more volumes of data than the utility industry's legacy applications were built to handle. In addition, utilities must adhere to new regulations and manage more service disruptions due to climate change. Addressing these issues requires utilities to process, store, analyze, and gain insights from enormous volumes of data.
Oracle Energy and Water Data Lakehouse is Oracle's answer to these complex challenges. Data Lakehouse provides cost-effective storage for structured and unstructured data, as well as the analytical power of a data warehouse. With this unique combination, Oracle's solution can help utilities shorten implementation timelines and reduce maintenance costs.
Data Lakehouse comes with pre-built data ingest capabilities for initial historical data and incremental data changes from your Customer to Meter source application.
This reduces the total cost of ownership and time to market by leveraging Data Lakehouse's pre-built data ingest capabilities for building, testing, and monitoring your data integration with Customer to Meter.
Use Customer to Meter Characteristics in Your Analysis
Characteristic Types and values set up for Customer to Meter entities (for example Account, Service Agreement, Person, Service Point, and Premise) can be exposed as fields or columns in the pre-built subject areas by configuration. This enables the use of customer-specific attributes in your analysis without customization.
Use Custom Identifiers of Customer to Meter Entities in Your Analysis
Implementation often stores additional identifiers of Customer to Meter entities (for example, device identifiers) in its identifier child table. The identifiers stored in the identifier child tables can be exposed as fields or columns in the pre-built subject areas by configuration. This enables the use of customer-specific attributes in your analysis without customization.
Use pre-built subject areas for data visualization, analytics, and reporting. The subject areas include information related to Customer, Meter, Common (specifically To Do Entries), and Operations.
The subject areas allow you to build visualizations and reports that help answer complex business questions about utility customers and operations.
Data Visualization - Sample Workbooks
Begin your analysis and reporting with Oracle Energy and Water Data Lakehouse's catalog of sample Data Visualization workbooks. These contain groupings of canvases, which in turn include visualizations based on specific subject areas.
The sample workbooks provide a starting point for data analysis and reporting.
Oracle Analytics is a complete platform with ready-to-use services for a wide variety of workloads and data. Offering valuable, actionable insights from all types of data Oracle Analytics empowers business users and data engineers to access and process relevant data, evaluate analysis, and make quick, accurate decisions.