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INTELLIGENT BUILDINGS AND BIG DATA

CABA (CONTINENTAL AUTOMATED BUILDINGS ASSOCIATION)GREG WALKER, RESEARCH DIRECTOR

NAVIGANT RESEARCHCASEY TALON, SENIOR RESEARCH ANALYST

Table of Contents

Section 1 » CABA and Project Overview

Section 3 » Intelligent Buildings and Big Data

Section 4 » Contact Information

2

CABA and Project Overview

©2015 Continental Automated Buildings Association. All rights reserved.

»The Continental Automated Buildings Association (CABA)

is an international not-for-profit industry association

dedicated to the advancement of connected home and

building technologies. The organization is supported by an

international membership of over 300 organizations

involved in the design, manufacture, installation and

retailing of products relating to home automation and

building automation. www.caba.org

About CABA

4

http://www.caba.org/


CABA Board of Directors

5

http://www.sce.com/default.htm

http://www.sce.com/default.htm

http://www.philips.ca/index.page


http://www.realviewllc.com/

http://www.realviewllc.com/

http://www.pella.com/

http://www.pella.com/




“CABA accelerates growth in the connected

home and intelligent buildings sectors.”

CABA Vision

6


»CABA commissioned Navigant Research to lead this study

with a collaborative framework that engaged sponsors 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.

About this Project

7


Sponsors

8

Emerald SponsorsDiamond Sponsors


Sponsors Cont’d.

9

Ruby Sponsors

Intelligent Buildings and Big Data


About Navigant Research

11

RESEARCH PROGRAMS:Energy Technologies

Utility Transformations

Transportation Efficiencies

Building Innovations

RESEARCH OFFERINGS:Research Reports

Subscription Research Services

Custom Market Research

• Custom Market Analysis

• Market Sizing and Forecasting

• Primary Research

• Go-to-Market Services

• Strategic Advisory Sessions

• Commercial Due Diligence

• Technology Evaluation

NAVIGANT RESEARCH PROVIDES IN-DEPTH ANALYSIS

OF GLOBAL CLEAN TECHNOLOGY MARKETS.

The team’s research methodology combines supply-side industry

analysis, end-user primary research and demand assessment, and

deep examination of technology trends to provide a comprehensive

view of the Energy Ecosystem.


» 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?

Purpose of Project

12


» Most decision makers do not know how to define big data or understand the potential benefits

Survey Findings

13

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Concept of big data Application of big data to buildings

1

2

3

4

5

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)


» Survey respondents were primarily concerned with cost

Survey Findings

14

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)

4.49

4.14

3.92

1 2 3 4 5

Saving money

Reducing energy consumption

Increasing occupant comfort


» Security and privacy are the biggest issues

Survey Findings

15

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)

3.76

3.61

3.57

3.54

3.50

3.46

3.41

3.36

3.34

3.29

3.21

3.16

1 2 3 4 5

Security of network

Privacy of data

Ability to analyze data

Reliability of data storage

Ability to combine data from multiple sources

Complexity of data

Training of building management workforce

Amount of data

Acceptance of the leadership of my organization

Acceptance of building management workforce

Frequency of data

Acceptance of IT department

(Average Rating)


Big Data in Intelligent Buildings Market

16

$-

$100

$200

$300

$400

$500

$600

2015 2016 2017 2018 2019 2020

($ M

illio

ns

)

Big Data in Intelligent Buildings Revenue, North America: 2015-2020

$512

$171


» The supply side of the market is ahead of the curve

» Only innovative customers have adopted the solutions entering the market

Market Dynamics: What needs to change?

17

Market Dynamics for Big Data in Intelligent Buildings

Bridge the Gap


» Most decision makers do not know how to define big data or understand the potential benefits

Market Maturity: How Can Provider Prepare

180%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Concept of big data Application of big data to buildings

1

2

3

4

5

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


» Big data analytics is an extension of the analytics that have brought new insight to investment and operational management changes

Big Data Solutions: What are the Solutions?

19

Big Data Solution Offerings for Intelligent Buildings

Build Off Smart

Solutions


» Next-generation offerings provide the most sophisticated analytics to deliver insight and direct action

Solutions Offerings: How will Big Data become part of the Intelligent Building?

20

Big Data Solutions and the Convergence of Facilities, Business, and Energy Management

Create Roadmaps


» 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

Business Case: How will Big Data Change Intelligent Buildings?

21

Clarify the Message


» 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

Role of Big Data in Energy Efficiency: How will Big Data Change Intelligent Buildings?

22

Create Actionable Solutions


Value Propositions for Big Data Adoption: How will Big Data Change Intelligent Buildings?

23

Customer Value Propositions for Big Data Solution OfferingsCustomize

the Message


Next Steps and Contact Information

24

Casey Talon, Navigant Research Analyst

Email: [email protected]

Phone: 303.381.7774

Greg Walker, CABA Research Director

Email: [email protected]

Phone: 613.686.1814 x227

mailto:[email protected]

mailto:[email protected]

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