UU 304: AMI Data Operations: Managing Real-time Sensor and IoT Data to Unlock the Next Level of Utility Operational Improvements
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This course is focused on Data Operations in the real-time world of AMI and IoT.
This course answers these questions:
- What are the critical activities for monitoring and managing the real-time and near real-time data from smart meters and the plethora of IoT (Internet of Things) sensors being added to utility communications?
- How can you simplify the millions of data elements which flow into the utility data operations by automating the monitoring and management, filtering the noise, and getting information to the systems and personnel who can utilize the information?
- How do you increase the utilization of the valuable data from millions of metering and sensing endpoints?
- What are the right systems and personnel to monitor, manage and analyze this overwhelming amount of data?
- AMI and IoT are moving to edge computing, how do you move data operations from a static to a dynamic view to take advantage of this?
Who should attend:
- Project managers, IT managers, Operations and Analytics personnel. Basically, any utility personnel who expect to be involved in the utilization of operation AMI and IoT with millions of real-time endpoints.
- Anyone considering the implementation of AMI, MDM, MAMS, and/or Enterprise Analytics and would like to understand how the solution will be operated and why consideration of operation is important at the start, rather than the end, of the project.
- Attendees must understand the metering and sensing requirements and data required by utility operations.
This course is targeted at intermediate and advanced students. Typical course attendees are project managers, IT professionals, customer service managers, etc. Having successfully completed this course, the participants should expect to have a good overall understanding of the data and data management for real-time data, as well as typical utility practices. The participants should have the basics to aid their utility team in understanding the scope and commitment for the operation of their AMI and IoT and data.
- Introduction to AMI and IoT and what utilities are doing today
- What is Meter/Sensor/IoT Data Operations?
- Scope of responsibility: What is, and is not, the responsibility of data operations; what are the systems and roles of each involved in data operations, and why data operations must be considered before implementing AMI and IoT and should not be an afterthought
- Types and frequency of data: What are the types of data and how to simplify the monitoring and management of the data. Real-time management of data vs. batch and historical management of data.
- Clients of data operations: Who are they, what are their needs, and how to best serve them?
- The business processes and systems of Data Operations
- Ensuring data quality, completeness, and availability of the data
- Data exceptions happen: How do you manage and work around these data exceptions
- Change happens: How do you move from a static view to a dynamic view of the sensor data and manage the change
- Reporting and improving data operations
- Setting up your Data Operations
- Organization chart and roles
- Job functions
- Role of IT and OT