risk-based asset management: tomorrow's business intelligence today
TRANSCRIPT
Speaker Bios
Bryan Clark
• Manager of Asset Performance & Reliability at PHI, a multi utility holding company in the mid-Atlantic
• Responsibility for reliability reporting, reliability & maintenance strategy, failure analysis, and distribution standards.
Steven Ramirez
• CEO of Beyond the Arc
• Leader in applying advanced and predictive analytics to complex business problems like asset management
• Industry and press recognition: Bloomberg, Forbes, BigData 100, Predictive Analytics World
• IBM Business Partner in Analytics
Risk-based Asset Analytics Tomorrow’s Business Intelligence Today
Bryan Clark Manager of Asset Performance & Reliability Pepco Holdings, Inc.
Steven Ramirez, CEO Beyond the Arc
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Changing customer needs and demands
Generations of vast quantities of data
Increasingly high power costs
Environmental /Regulatory concerns and costs
Fluctuating, volatile demand
Aging infrastructure
The challenges and risks facing utility companies
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by using
Data to identify risks and act
Advanced Analytics to
forecast & optimize
Applications to drive
effective information at the point of decision
With the vast amount of data that utilities are starting to generate, there’s an opportunity to be more strategic
Leading utilities are turning to analytics to improve operational & financial results
Accessing, organizing and interpreting
their data to
drive
business decisions
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Today’s reliability-centered maintenance
• Key principles
• Overview of reliability and maintenance at Pepco
• Learnings, and lasting impact, from Sandy
Tomorrow’s risk-based asset analytics
• Vision
• Key principles
• Learning from best practices in other industries
• Assessing the risk holistically and quantifying it
• Drawbacks to the approach most utilities take
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Solutions receiving industry wide recognition
Transformation of the grid Creating a smart grid - that offers a dynamic and automated energy delivery system, protects revenue and enables better asset management
Empowerment of customers Empowering customers by providing them with near real-time, detailed, information about their energy usage and their ability to save money based on time of use
Cleaner energy supply Meeting stringent greenhouse gas regulatory requirements while maintaining sufficient cost-effective power supply, as well as meeting Renewable portfolio standards
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A leading utility in the east optimizes maintenance decisions without requiring everyone to be an analytics expert
The need: For companies like Tennessee Valley Authority (TVA), standardizing and streamlining work across power-generating plants is critical. Stand-alone business processing systems, independent tracking mechanisms and manually intensive processes increase operational costs. Additionally, with growing regulatory requirements and oversight of how utilities manage their operations, companies needed greater flexibility in tracking work and maintenance for audits.
The solution: TVA deployed a comprehensive business analytics solution to address enterprise asset management.
Business impact: Increased operational efficiency and optimized asset utilization Helped organizations achieve sustainable performance improvements Reduced operating costs Provided flexibility to more quickly address new regulatory requirements
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Optimize every maintenance decision, process and investment using analytics
Root cause insights Understand the root cause of equipment failures and apply those insights to entire network.
Equipment efficiency Optimize maintenance windows to reduce operating expense. Improve reliability and uptime of assets.
Predictive maintenance Predict potential future asset failures to service the asset before it becomes a service failure.
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Analytics help utilities answer questions about transforming the grid
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How can I separate the “signals” from
the “noise”?
How can I make quick and accurate
decisions?
How can I get visibility of predictors
across the organization?
How can I detect warranty issues
sooner?
How can I perform in depth root cause
failure analysis on my process and
assets?
How do I achieve optimal asset
efficiency and availability?
How can I protect revenue by using
analytics for smart grid optimization?
How can I improve my smart grid
initiative, reduce costs and meet
regulatory requirements?
How can I prioritize the
importance of different asset
classes?
Asset
Performance
Process
Integration
How do you get there?
• Planning & strategy
• Business case
• Sparking the necessary culture change
Key takeaways
• Ask key questions and seek answers in data already collected
• Start now, never too late. Costs to acquire, store, and analyze data have never been lower.
• Avoid analysis paralysis and focus on insights that you can act on
Beyond the Arc, Inc. | Customer Experience & Data Analytics
Thank you
Steven J. Ramirez, CEO
Beyond the Arc, Inc.
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