Frankfurt Intelligent Buildings and Big Data Greg Walker, Research Director CABA (Continental Automated Buildings Association)

CABA (Continential Automated Buildings Association) Vision CABA advances the connected home and intelligent buildings sectors. Mission CABA enables organizations and individuals to make informed decisions about the integration of technology, ecosystems and connected lifestyles in homes and buildings

CABA extends Globally with 330+ members worldwide AUSTRALIA BARBADOS BELGIUM BRAZIL CANADA CHINA COLUMBIA CROATIA ENGLAND ESTONIA FINLAND FRANCE GERMANY INDIA ITALY JAPAN KOREA MEXICO PANAMA POLAND RUSSIA SINGAPORE SOUTH KOREA TAIWAN THE NETHERLANDS UNITED ARAB EMIRATES USA VENEZUELA

CABA Board of Directors

About this Research “Intelligent Buildings and Big Data” CABA commissioned Navigant Research to conduct this research with a collaborative framework that engaged funders from a cross-section of building technology solution providers. Research Objective: Examine new tools and resources emerging in the market to help companies filter, analyze, and use Big Data collected from their intelligent and integrated buildings

CABA Member Funders

Purpose of Project Big Data has the potential to have a profound impact on intelligent buildings –What is Big Data with regards to intelligent buildings? –What do customers think? –How big of a market will this be? –What are the opportunities? –What is really happening in the market?

Most decision makers do not know how to define big data or understand the potential benefits On a scale of 1 to 5, where 1 is not knowledgeable at all and 5 is extremely knowledgeable, how do you rate your knowledge about the concept of big data and the application of big data to buildings? (n=400) Time to Educate

Survey respondents were primarily concerned with cost On a scale of 1 to 5 where 1 is not important at all and 5 is extremely important, please rate how important the following factors are when making improvements to your building. (n=400)

Security and privacy are the biggest issues On a scale of 1 to 5, where 1 is not concerned at all and 5 is extremely concerned, how concerned are you about the following issues as it relates to data collected in your building? (n=400, 1 is not important at all and 5 is extremely important)

Market Dynamics: What needs to change? The supply side of the market is ahead of the curve Only innovative customers have adopted the solutions entering the market Bridge the Gap

Big Data Solutions: What are the Solutions? Big Data Solution Offerings for Intelligent Buildings Big data analytics is an extension of the analytics that have brought new insight to investment and operational management changes Build Off Smart Solutions

Solutions Offerings: How will Big Data become part of the Intelligent Building? Next-generation offerings provide the most sophisticated analytics to deliver insight and direct action Big Data Solutions and the Convergence of Facilities, Business, and Energy Management Create Roadmaps

Business Case: How will Big Data Change Intelligent Buildings? Big data solutions change the paradigm for managing: –Facilities –Energy consumption –Business operations Solutions are shifting the architecture of building systems –More distributed platform with hybrid and predictive control –Based on multiple inputs and outputs from multiple systems Clarify the Message

Role of Big Data in Energy Efficiency: How will Big Data Change Intelligent Buildings? A big data solution for energy efficiency must provide continuous tracking and benchmarking –Building profiles must be up to date –A buildings’ physical systems evolve and external factors like weather and utility prices change Constantly maintaining this data allows for a complete understanding of the impact of energy efficiency upgrades –Also allows for an assessment of which future improvements will yield the best results Create Actionable Solutions

Value Propositions for Big Data Adoption Customize the Message

Contact Info Continental Automated Buildings Association (CABA) Toll free: CABA (2222)