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6.08 It's the Data, Stupid! The CRE Playbook on Big Data & Analytics

Wednesday, April 3, 2013
3:45 PM-4:45 PM
Track: Council/Industry Specific
Format: Interactive Presentation
Organization: IFMA
Knowledge Level: 300 level
CSP (Corporate Sustaining Partner)? Yes
Session Description: In 2000 Lance Gordon wrote a document entitled "the Industrial Internet" which was a call for a more total digital enterprise mindset in business to develop this for industrial sector as opposed to the “selling internet.”  This term has been picked up more than a decade later, mainly by GE, to define a convergence of business and technology that could create the most profound changes to business since the industrial revolution.  The lifeblood of the Industrial Internet is Big Data.  It is beginning to be used to link machines as part of a cohesive intelligent network, deliver key information which can be analyzed and performance can be predicted.  This is now being explored in real estate and facility management.

Big data is one of the four market forces that is changing the way we need to work in real estate and facility management today.  It joins the other three forces:  social media, cloud computing and mobility as new technologies to plan for and manage real property portfolios more efficiently and effectively.  This session will be both a presentation and interactive discussion with the audience members, and will cover:

  • The definition of big data and analytics
  • The drivers in real estate and FM for using big data
  • The users of big data in both small and large organizations
  • The case of how an IWMS integrated with other corporate databases, including GIS, utilized big data and analytics to solve a real estate portfolio optimization problem
  • The new skill sets required to work with big data and analytics and why this knowledge is so valuable to the entire business community
  • How the audience is using or is thinking about using big data and analytics, as well as a discussion on how to begin the process if you haven’t already started.
Learning Objectives:
  • Understand what big data and analytics mean in the business and sports communities today.
  • Apply this understanding to how CRE and FMs are using large data sets to gain measurable value.
  • Learn how to re-invent CRE and FM organizations to become data-driven and data-savvy.
  • Acquire new skill sets to make use of the “sexiest job of the 21st century,” the data scientist.
  • Speakers:

    Nancy Johnson Sanquist, IFMA Fellow
    Manhattan Software, Inc.
    Vice President
    Marketing and Communications

    Nancy Johnson Sanquist is responsible for overseeing the North America marketing and research initiatives for Manhattan Software. With 25 years of diverse experience in corporate real estate and facility management technology, Nancy has worked with a number of public and private technology and consulting organizations, with clients such as Fidelity Investments, Bank of America, IBM, Kodak, Boeing, the U.S. Navy, EPA, Capital One and the states of Louisiana and Missouri. Nancy has conducted numerous technology seminars and training sessions for leading FM and real estate organizations, such as IFMA and CoreNet Global in North America, Europe, Australia and Asia. She has also contributed to the research and development of corporate real estate and facility management through several written works, and has taught at the University of San Diego’s Graduate School of Business, UCLA and Lafayette and Muhlenberg Colleges.

    John Serri, Ph.D.
    Manhattan Software
    VP of Strategic Initiatives

    John Serri is a V.P. of Strategic Initiatives where he is currently responsible for process and product innovation for Manhattan's global leading real estate and FM technologies. John is recognized as having the unique skill set of a data scientist with a Ph.D. from MIT and has worked on RE / IWMS systems for the last 8 years. He is also an educator and has consulted for some of the leading corporations in the world including Cisco, Qualcomm, Juniper and NetApps on the design and implementation of IWMS systems.

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