2022 Big Data and Analytics for the Utility Enterprise

November 9-10, 2022 | Online :: Central Time

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Data analytics are used in virtually every division of a utility, capturing information from customer metrics to C-suite performance and everything in between, impacting planning, operations, maintenance, trading, worker safety, systems security, and responses to extreme weather events. The modern power delivery system produces such a large amount of data that it can be difficult to manage efficiently by current methods, especially when different parts of the enterprise are operating in a way that leaves data from individual departments siloed off from other parts of the utility operation.

Modern data management tools and techniques such as asset performance management (APM) systems that include cloud computing, artificial intelligence (AI), cybernetics, machine learning, and high-tech data analytics are required to incorporate historical and real-time data from different departments across the enterprise to develop assessments of the health of each asset in a utility’s portfolio and produce usable intelligence. Information from different departments across the enterprise can be exchanged in APM systems to improve the bottom line of the utilities using them by, for example, identifying problems, calculating risks, and recommending solutions.

This one-and-a-half-day program will examine the current landscape of utility data analytic systems, their applications, and their promise for improving performance and lowering costs across the entire organization. Attendees will gain a fundamental understanding not only of basic analytics systems currently in use, but also of asset performance management systems and their implementation.

Bigger data is the wave of the future in utility operations. Register now for this virtual forum where you will gain an understanding of the implications, challenges, and benefits of next-gen data analytics for the utility enterprise.  

Learning Outcomes

This course will provide attendees an opportunity to

• Discuss latest trends and leading practices in digital transformation and data strategy in the energy field and the importance of integrating data analytics groups within a utility.
• Examine the tactics one utility has employed in its efforts to establish an organizational approach to incorporating analytics throughout its operations.
• Review the roles that AI, machine learning, and cloud services can play in identifying and improving inefficiencies within the utility enterprise.
• Analyze the pivotal role the Chief Analytics Officer in transitioning to a data analytic-driven culture within a utility.
• Appraise the role of predictive analytics in a utility’s efforts to accurately assess the maintenance needs and integrity of grid infrastructure.
• Assess the promise of data analytic systems for optimizing transmission, distribution, and DER integration and capturing value.
• Evaluate the role of big data in improving grid integrity and worker safety.
• Recognize the damage prevention benefits of employing weather analytics to support planning and response to climate hazards.

Wednesday, November 9, 2022 : Central Time

 

9:00 – 9:45 a.m. :: KEYNOTE: Big Data, IoT, APM, and Data Management Across Utility Systems

Many utilities are at the start of their efforts to implement analytics in their operations, while others are ready to accelerate, building in-house applications to tap into the potential of automation to transform their core business processes. Utilities are adapting as the supply and demand for energy is shifting toward renewable energy sources. The rise of electric vehicles, energy storage, microgrids and shifting consumer demand are leading to an increased complexity of distribution grids and competition. All of these changes are forcing the entire energy industry to redefine itself through connected assets, workers, and data to enable faster decision-making and to create new business models. The industry must proactively drive value and manage risk, both financial and operational, to stay competitive in this evolving environment. This session will discuss key industry trends and the enablement of enterprise data management.

Rick Nicholson, Global Digital Business Development Leader, Hitachi Energy

9:45 – 10:30 a.m. :: Case Study: A Data Framework for Detecting Electricity Theft 

Non-technical losses are a major concern for all utilities and can have a considerable effect on both the public’s perception of your utility and the bottom line. Utilities are utilizing over 100+ analytic algorithms to understand the importance of increasing the accuracy and speed of detecting loss through revenue assurance and how that ultimately adds value, delivers savings, establishes business case visibility and provides a quick return on investment. This case study presentation will examine how ComEd reduced theft events by over 90% and gained insight into consumption on inactive meters, endpoints that were disconnected yet still indicate usage, bypassed meters, and those channeling reverse energy.  

Anthony Monreal, Sr. Business Analyst, Commonwealth Edison

10:30 – 10:45 a.m. :: Morning Break

10:45 – 11:30 a.m. :: Case Study: Best Practices in Data Strategy and Culture

Learn how Entergy is approaching their analytics function to help Entergy be the premiere utility. Hear how they are facing common headwinds to launching and sustaining a successful analytics function including: defining and positioning analytics with executives, establishing an identity and brand within the corporation, engaging the business to find meaningful use cases, prioritizing competing priorities amongst business customers, creating measurable value to ensure the analytics function will survive and grow, and instituting repeatable delivery processes that enable the function to scale in the future. This candid and transparent account of Entergy’s data analytics journey should provide insights into organizational tactics (both successful and not-so successful). 

Andy Quick, Vice President, Business Data and Insights, Entergy

11:30 a.m. – 12:15 p.m. :: Improving Load Management with AMI Analytics

With AMI analytics, Transmission and Distribution Service Providers (TDSPs) can perform detailed research, improve reliability and maintenance planning, and enhance asset lifecycle management to add value to their operations. TDSPs can strengthen situational awareness with new reporting tools around load analysis, load forecasting, and asset optimization. This presentation will cover how TDSPs can improve their operations through grid planning and analysis.

Kevin Clemons, Senior Principal, Data Science and Business Analytics, Utegration

Abbas Rangwala, Principal Product & Cloud Analytics Manager, Utegration

12:15 – 1:15 p.m. :: Lunch Break

1:15 – 2:15 p.m. :: Data Governance and the Role of the Chief Analytics Officer

The Chief Analytics Officer (CAO) or Chief Data Officer (CDO) oversees an organization’s collection of data and its use to create analytics and business intelligence models. The CAO works closely with the Chief Information Officer to establish the infrastructure required for analytics by encouraging data literacy. The CAO may be responsible for the design of data architecture, the creation of data protection policies, data governance and management frameworks, and fostering a data culture. This presentation will focus on the importance of establishing a governing for data management within a utility, and the areas that every CDO/CAO must focus on to turn data into value for the company by driving revenue, optimizing process, and reducing costs.

Annemieke de Groot, Manager, Technology Practice, West Monroe

2:15 – 2:30 p.m. :: Afternoon Break

2:30 – 3:15 p.m. :: Case Study: Growing the Role of Analytics at Southern Company

Southern Company boasts 46,000 megawatts of generating capacity and 1,500 billion cubic feet of combined natural gas consumption and throughput volume, serving 9 million customers through its subsidiaries and providing energy through operating companies in four states, natural gas distribution companies in seven states, and a competitive generation company serving wholesale customers across America. For a company with such widespread assets, what are the best predictive maintenance technologies to ensure accurate assessment of component conditions? This case study presentation will examine Southern Company’s efforts at collecting, integrating, and analyzing technical data on operational infrastructure, machinery, systems, and maintenance history to improve performance and system integrity.

Randall Jones, Manager, CBM & Analytics, Southern Company

3:15 p.m. :: Group Discussion and Q&A

 

Thursday, November 10, 2022 : Central Time

9:00 – 9:45 a.m. :: Increase Business Transparency with Enterprise Performance Management

By creating a centralized foundation, executives can improve how they analyze business operations and see how all areas of the business fit together. A top-down data visualization and analytics approach helps tie together business operations from opposite ends of the Enterprise. This presentation will cover one such approach to enhance executive situational awareness that adds value through business transparency.

Kevin Clemons, Senior Principal, Data Science and Business Analytics, Utegration

9:45 – 10:30 a.m. :: Customer Engagement and Data Stewardship Expectations

Building relationships with residential and business customers that go beyond transactional messaging is one of the biggest challenges for energy utilities. The success of cost-saving utility initiatives like demand response programs, energy-efficient upgrades, electric vehicle and equipment conversions, and even streamlined billing processes all depend on customer participation. This presentation will examine the way data can be used to personalize the customer experience and drive engagement and the importance of meeting customer expectations when it comes to data privacy.

Brian Lindamood, Vice President Marketing and Content Strategy, Questline Digital

10:30 – 10:45 a.m. :: Morning Break

10:45 – 11:30 a.m. :: Weather Modeling, Outage Prediction, and Wildfire Risk Modeling

As weather events and climate change continue to impact utility infrastructure, it has become more challenging as well as more important to assess how extreme weather will impact operations. That knowledge can help to prevent otherwise unforeseen disruption as well as aid in meeting regulatory and compliance obligations. This presentation will examine how data analytics can support utility storm event planning and response across all hazards: high winds, thunderstorms, tropical storms, coastal flooding, snow and ice, and wildfires.

Nic Wilson, Director, Product Management, DTN

11:30 a.m. – 12:15 p.m. :: Creating the Utility of the Future

Digital and analytical technologies are advancing at a breathtaking pace. Artificial Intelligence, Internet of Things, machine learning, cloud, and blockchain have the potential to enable utilities to reach new levels of performance. To harness the promise of data anaytlics, utility companies will need to develop new capabilities and transform their operational environment. This session will examine the forces driving change in the power sector and explore how best to plot a digital path to thrive in the future that utilities are moving toward.

Mani Kandasamy, Technology Fellow, AI and Data Engineering, Deloitte

Abhi Chakraborty, Senior Manager, Deloitte

• Abhi Chakraborty, Senior Manager, Deloitte

• Kevin Clemons, Senior Principal, Data Science and Business Analytics, Utegration

• Annemieke de Groot, Manager, Technology Practice, West Monroe

• Randall Jones, Manager, CBM & Analytics, Southern Company

• Mani Kandasamy, Technology Fellow, AI and Data Engineering, Deloitte

• Brian Lindamood, Vice President Marketing and Content Strategy. Questline Digital

• Anthony Monreal, Sr. Business Analyst, Commonwealth Edison

• Rick Nicholson, Global Digital Business Development Leader, Hitachi Energy

• Andrew Quick, Vice President, Business Data and Insights, Entergy

• Abbas Rangwala, Principal Product & Cloud Analytics Manager, Utegration

• Nic Wilson, Director, Product Management, DTN

We will be using Microsoft Teams to facilitate your participation in the upcoming event. You do not need to have an existing Teams account in order to participate in the broadcast – the course will play in your browser and you will have the option of using a microphone to speak with the room and ask questions, or type any questions in via the chat window and our on-site representative will relay your question to the instructor.

• IMPORTANT NOTE: After November 30 you will not be able to join a Teams meeting using Internet Explorer 11. Microsoft recommends downloading and installing the Teams app if possible. You may also use the Edge browser or Chrome.
• You will receive a meeting invitation will include a link to join the meeting.
• Separate meeting invitations will be sent for the morning and afternoon sessions of the course.
  • You will need to join the appropriate meeting at the appropriate time.
• If you are using a microphone, please ensure that it is muted until such time as you need to ask a question.
• The remote meeting connection will be open approximately 30 minutes before the start of the course. We encourage you to connect as early as possible in case you experience any unforeseen problems.

Please Note: This event is being conducted entirely online. All attendees will connect and attend from their computer, one connection per purchase. For details please see our FAQ

If you are unable to attend at the scheduled date and time, we make recordings available to all attendees for 7 days after the event

REGISTER NOW FOR THIS EVENT:

2022 Big Data and Analytics for the Utility Enterprise

November 9-10, 2022 | Online

Your registration may be transferred to a member of your organization up to 24 hours in advance of the event. Cancellations must be received on or before October 07, 2022 in order to be refunded and will be subject to a US $195.00 processing fee per registrant. No refunds will be made after this date. Cancellations received after this date will create a credit of the tuition (less processing fee) good toward any other EUCI event. This credit will be good for six months from the cancellation date. In the event of non-attendance, all registration fees will be forfeited. In case of conference cancellation, EUCIs liability is limited to refund of the event registration fee only. For more information regarding administrative policies, such as complaints and refunds, please contact our offices at 303-770-8800

Credits

EUCI is accredited by the International Accreditors for Continuing Education and Training (IACET) and offers IACET CEUs for its learning events that comply with the ANSI/IACET Continuing Education and Training Standard. IACET is recognized internationally as a standard development organization and accrediting body that promotes quality of continuing education and training.

EUCI is authorized by IACET to offer 0.9 CEUs for this event

Requirements for Successful Completion of Program

Participants must log in each day and be in attendance for the entirety of the conference to be eligible for continuing education credit.

Instructional Methods

PowerPoint presentations, video, and Q&A will be used in the program.

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Upon successful completion of this event, program participants interested in receiving CPE credits will receive a certificate of completion.

Course CPE Credits: 10.5
There is no prerequisite for this Course.
Program field of study: Specialized Knowledge
Program Level: Basic
Delivery Method: Group Internet Based
Advanced Preparation: None

EUCI is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its web site: www.nasbaregistry.org

 

Who Should Attend

• Utility Chief Technology Officers
• Utility Data Officers
• Utility Analytic Officers
• Utility Safety and Training Managers
• Utility Business Development Managers
• Utility Asset Strategy Managers
• Utility Forecasting Managers
• Utility Data Analytics Managers
• Utility R&D Development Managers
• Utility Planning Consultants
• Directors of Emerging Technologies
• Work Management Professionals
• Business Intelligence Professionals
• Process Development Professionals
• Energy Data Acquisition Professionals
• Energy Data Science Professionals
• Energy Analytics Professionals
• Consultants
• Investors and Financers