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Energy IT Transforming Business Responsiveness by Reducing Information Latency. Energy IT Conference Boston, Massachusetts August 27, 2001. Bill Lewis Energy & Utilities Compaq Computer Corporation. Information Latency. Other Events. t 2. Modify rules. Business Rules. Event.
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Energy IT Transforming Business Responsivenessby Reducing Information Latency Energy IT Conference Boston, Massachusetts August 27, 2001 Bill Lewis Energy & Utilities Compaq Computer Corporation
Information Latency Other Events t2 Modify rules Business Rules Event Process A Process B t1 t1 T= t1 + t2
You will get payback for reducing latency if you have… • Global operations • Merged with another utility • Aggressive competitors • Large, complex business portfolio • Dynamic supply chain • Deregulated
What is the energy company payback? • Improved global supply chain management • Plant optimization • Improved trading risk management • Increased customer satisfaction • Reduced outages • Faster outage restoration
What is the Infrastructure payback ? • Increase virtual capacity of the grid • Increase manageability of the ISO/RTO infrastructure • Reduce cost of energy by improving market operations • Increase timeliness and quality of information to market participants • Detect and reduce inappropriate trading behavior
Zero Latency Enterprise • A Zero Latency Enterprise is one that • “exploits the immediate exchange of information across geographical, technical, and organizational boundaries to achieve business success.” Roy Schulte, Gartner Group Fall 1998
What is your tolerance for Latency? High Tolerance for Latency Competition ZERO Casual Critical Business Process
The Technology paradigm shift • Traditional: Extract business data into off line data warehouse for analysis • New Way: Cache live business transactions in operational data store (ODS). Access, analyze and respond to business information in real time- as it happens…without impacting performance of transaction systems.
Appl Appl Adapters Adapters Appl Appl Appl Appl Appl Appl EAI Adapters Adapters Appl Appl ODS models Data Data Mining and Analysis Compaq ZLE Architecture • Mixed workloads • Massive data volumes • Queries against live data • EAI • Operational Data Store • Linear scalability • Fault tolerance
Appl Appl Appl Appl Appl Appl Appl Appl Appl Appl ZLE Applied to Virtual RTO ISO B ISO/RTO Applications EMS/SCADA Load Forecast ATC RT Oasis TRACE Topology ICCP Power Flow Metering Settlement Market Opns Adapters Adapters ISO A EAI ISO D Adapters Adapters CIM-based ODS ISO C Data models EPRI CIM-based Data Warehouse Data Mining and Analysis
Zero Latency Example-Teleco • World’s largest e-business demonstration • Up to 15 Billion Call detail records per day • 180 days of history • Customer Service inquiries, data mart • Applications: • Surveillance by authorities • Customer billing • Customer Service inquiries by 40,000 agents • Credit verification • Large ad hoc queries • Customer usage analysis (data mining) • One to one marketing with real-time information
In Summary • You can dramatically improve business performance by reducing information latency. • New technologies can bring the Zero Latency world of real-time energy operations into everyday business management…and bridge the gap between the two