**Evaluate this course. **
With the advent of the big data, analytics and visualization, utilities (electric, water and gas) have embarked on creating their visions, strategies and multi-generation plans. Some are evaluating the technologies available in the industry against their challenges while others are still determining the best way forward. Many utilities have also proceeded down the execution path, procuring best-fit technologies and solutions to complement their investments in multiple data repositories and subsequently mining them to help make or validate key business decisions. This is rooted in emergence of smart grid, the rollout of smart metering and the prospect of increased grid modernization, which has resulted in greater penetration of new sensors and actuators in the field. Thus, came the “Big Data” hype. Many vendors created platforms and products and utilities evaluated them by way of proof of concepts and pilots. Hype, however, is often followed by a trough of disappointment, and this was no exception. Faced with a plethora of vendors and complex enterprise architectures, utilities are re-evaluating their strategy and investment plans on how to extract maximum value from their data.
This course covers the evolution of data as an asset, examines current technologies available in the industry for “Big Data” and how it can be harnessed to deliver value to utilities, their customers and the industry. Rather than a perfunctory walk-through, this session brings out and discusses ideas on the best way forward so that utilities that have already made progress can benefit and those that haven’t yet decided can make a well-informed decision. Issues around data types and size, stewardship, governance, organization, access and visualization are discussed. The instructors are experienced in data analytics and BI/visualization strategy, visioning, roadmaps, technology and rollout. Utility case studies are used as examples of how the “academics” were translated into “value propositions” and executed to create financial and other benefits. This course has a 3-hour section of presentation followed by an hour-long panel discussion and Q&A.
Who should attend this course?
- Business leaders and executives
- Utility analytics personnel, IT/OT project team members
- IT and operations managers
- Architects, data analysts/scientists, BI developers/DW professionals, QA, performance SMEs
- Regulatory personnel
- Transmission and distribution planning and ops personnel
- Customer service personnel
- Resource planners
- Vendors
- Consultants, technical, marketing and delivery team members