Three Big Myths about Big Data and Energy Management



January 6, 2015
1:00-2:00pm ET

Bob Dixon
Bob Dixon
Vice President of Industry Affairs
Siemens Infrastructure & Cities

Chris Brophy
Chris Brophy
Vice President, Corporate
Responsibility 
MGM Resorts International

Marty Sedler
Marty Sedler
Director of Global Utilities &
Infrastructure
Intel Corporation

John Davies
John Davies
Vice President & Senior Analyst
GreenBiz Group

Big data and data analytics are terms used increasingly to describe the current state and future opportunities of enterprise energy management. To gain greater insight, GreenBiz Group, in partnership with Siemens Building Technologies, surveyed energy managers from large corporations, hospital systems, governments and educational institutions. The research sought to identify the impact of big data and advanced analytics when it comes to managing their portfolio of buildings.

The results highlight the early nature of using big data analytics for enterprise-level energy management and identified three common misconceptions. Join us for a discussion about how organizations are leveraging big data for energy enterprise management. During this webcast, you’ll learn:

  • Three common misconceptions are about using big data analytics for enterprise-level energy management
  • How to manage data quality and quantity to take “big data” and turn it into actionable information
  • Immediate actions energy managers can take today to advance their big-data analytics program
     
     

Hosted by:

Siemens

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