Meter Data Management (MDM) Systems – Integration,
Data Validation, and Analytics
01 – 05 June 2026
Sandton - Johannesburg South Africa
Register Now! Limited Seats Available!
R24,999.00 Per Delegate
Introduction:
The rapid deployment of smart meters, Advanced Metering Infrastructure (AMI), and intelligent grid technologies has led to an unprecedented volume of energy consumption data. To unlock the full potential of this data, utilities require robust Meter Data Management (MDM) systems that serve as the central platform for collecting, validating, storing, and analyzing meter data.
This course provides participants with a comprehensive understanding of MDM systems, their architecture, and their critical role in modern utility operations. It explores how MDM integrates with other enterprise systems—such as Customer Information Systems (CIS), Billing, Outage Management Systems (OMS) and Geographic Information Systems (GIS)
A strong focus is placed on Data Validation, Estimation, and Editing (VEE) processes, which are essential for maintaining accurate, reliable, and compliant data streams. Participants will learn how to configure VEE rules, detect anomalies, and apply corrective methods for incomplete or inaccurate meter reads.
By the end of the course, participants will have the skills and insights required to optimize MDM systems, improve data-driven decision-making, strengthen revenue assurance, and support the digital transformation of utilities.
Objectives:
By the end of the course, participants will be able to:
• Understand the architecture, functions, and role of MDM in utility ecosystems.
• Configure and integrate MDM with AMI, CIS, billing, and outage management systems.
• Apply data validation, estimation, and editing (VEE) techniques to ensure meter data quality.
• Use analytics tools to generate actionable insights from meter data.
• Improve operational efficiency, revenue assurance, and customer service through MDM-enabled processes.
• Comply with regulatory, cybersecurity, and data governance requirements.
Course Outline:
Module 1: Introduction to Meter Data Management (MDM)
• Role of MDM in the smart grid and utility digital transformation
• MDM architecture and key components
• Core functions of MDM systems (data collection, storage, VEE, reporting)
• Integration of MDM with enterprise systems (CIS, OMS, SCADA, GIS, billing)
Module 2: MDM System Integration
• Interfaces with Advanced Metering Infrastructure (AMI)
• Data exchange standards: CIM, MultiSpeak, DLMS/COSEM
• Integration with billing and customer information systems
• Linking MDM to outage management and load forecasting
• Case studies on successful MDM integrations
Module 3: Data Validation, Estimation, and Editing (VEE)
• Importance of accurate and reliable meter data
• Validation rules and anomaly detection techniques
• Estimation methods for missing or faulty meter reads
• Editing and correction processes
• Automating VEE workflows in MDM systems
• Best practices and regulatory compliance
Module 4: Meter Data Analytics
• Fundamentals of meter data analytics
• Load profiling, consumption patterns, and peak demand analysis
• Energy theft and revenue protection analytics
• Forecasting techniques: load, demand, and generation
• Customer segmentation and demand-side management insights
• Predictive maintenance and asset performance monitoring
Module 5: Data Governance and Cybersecurity
• Data governance frameworks in MDM
• Privacy and regulatory compliance (GDPR, NERC CIP, local regulations)
• Cybersecurity risks and mitigation in MDM and AMI networks
• Audit trails, data retention, and disaster recovery strategies
Module 6: Practical Applications and Case Studies
• Smart metering project implementations
• Lessons learned from utilities worldwide
• MDM as a foundation for smart cities and renewable integration
• Hands-on lab (if applicable): working with MDM dashboards, validation workflows, and reports
Module 7: Future Trends in MDM
• Role of AI and machine learning in meter data analytics
• Cloud-based MDM solutions vs. on-premises deployments
• Integration with distributed energy resources (DER) and EV charging infrastructure
• Next-generation customer engagement platforms
IN HOUSE AND ONLINE TRAINING
While both In-House and Online training can present with cost-effectiveness and time-efficacy, there are some very specific differences between in-house courses and those based online.
The demand for additional courses by individuals or groups of people is increasing. Still, it depends entirely on the preferences of a person what type of training he or she wants to receive. Online courses and in-house training carry some similarities but they are considered to exhibit some very pivotal differences too. Despite that, both types of learning can be really beneficial for attendees.
For Registration and other Training arrangements,
contact us on the detail below.
SOUTH AFRICA : +27 11 057 6001
TANZANIA Cell: +255 769 688 544
WhatsApp +27 79 574 0389
info@bmktraining.co.za / www.bmktraining.com
