disruptive trends management...7 disruption: a disruptive innovation is an innovation that creates a...

2

Disruptive Trends

in Facility & Energy

ManagementMike Parks

Senior Vice President

IoT Strategy @ Accruent

vx OBSERVE Internet of Things Platform Pillars

vx Observe Platform Pillars vx Observe Functional Blocks

Alarm Monitoring

Predictive Monitoring

Workflow & Actions

Control Actions

Integrations

Monitor

Predict

Control

Connect ReactPreven

tRestrict Comply Predict Control

4

I am a ThiefOf Knowledge

and

Information

“I am a thief

of knowledge,

and in a

survival way,

I had to solve

all the

problems

around me.”

- Phillipe

7

Disruption:

A disruptive innovation is

an innovation that creates

a new market and value

network. It eventually

disrupts an existing

market and value network,

displacing established

market leading firms,

products and alliances.

https://en.wikipedia.org/wiki/Innovation

https://en.wikipedia.org/wiki/Market_(economics)

https://en.wikipedia.org/wiki/Value_network

8

Ten times cheaper

The rule of 10X

Ten times faster

Ten times smaller…etc.

2011 2012 2013 2014 2017 2020 2025

9

Mobile devices are changing

the way we work and live

Ubiquitous connectivity will

enable data from all assets

and systems

The need to mine and

understand “Big Data” is not

going away

The impact of dramatic

changes to the workforce





and systems



going away



10

Mobile Devices Will Change the Way We Work

11

• Albert C. Sundberg

– 1921 – 2006

– Pancreatic Cancer

• iPhone release June 29th, 2007

– Disruption?

Mobile Devices Will Change the Way We Work

12

What If?

13

Sadly Perhaps More So…

14

The Desire To Go Mobile Is Not New

15

MinutesDays Hours SecondsWeeksQuartersDecades Years Months

SHAPE DRIVE MANAGE CONTROL

16

MinutesDays Hours SecondsWeeksQuartersDecades Years Months

SHAPE DRIVE MANAGE CONTROL

17

Mobile Devices Are Changing the Way We Live

Together, but alone Too soon? A shrinking world

18





and systems



going away



19

Ubiquitous Connectivity Will Make Our Lives Easier

20

Waste

Elevators

Water System

HVAC

LightingSecurity

Energy

Auto-doors Fire System

CO2ParkingOccupancy

Platforms in silos and proprietary protocols are inhibiting the industries

we service from progressing.

A common platform is required to achieve best-in-class results


21

1 2SITE DATA

UTILITY BILL DATA

METER

DATA

A

C

D

B

E

FG H

HI

1

2

3

45

6

7

8

91

0

WEBSERVI

CE

SIMPLE

MANUAL

ENTRY/DATA

SCRAPE

FILE

UPLOAD

METER

DATA

EXTRACTIO

N

3

Executives

Site Personnel

Energy Analysts

Technicians

Bureau Agents


22

2005 20202010 2015

6.8 7.2 7.6

World

PopulationInflection Point

Bill

ions o

f D

evic

es Billion Smart

Devices

Adoption Rate of

Digital Infrastructure:5 x’s faster than electricity

and telephony

24

Max’s

House?

Practical Applications For Connected Things

25





and systems



going away



26

Understanding Big Data

C-Level Execs Value Data, Have No Idea What to Do With It

Almost all C-suite executives at

large enterprises believe data and

analytics are important to their

business, but most are struggling to

become data-driven businesses.

More than half say they don’t even

know what data to collect?Thor Olavsrud - CIO

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The need to mine and understand “Big Data”

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“Personalized Data”

Business Challenge:

To acquire, normalize and correlate data from as many relevant sources as possible and to then present targeted, actionable data that is

meaningful to the end user

Making Big Data Small

34

OEM

Service Provider

Owner

OperatorData

Data Ownership is a Challenge

35

OEM

Service Provider

Owner

OperatorData

Contractor

Software Provider

EquipmentController

Landlord

Tenant

Data Ownership is a Challenge

Value

36





and systems



going away



37

Dramatic changes to the workforce

38

Millennials and the Workplace

39

Millennials Are The Workforce of Today

40

A New Way of Working

Data Scientist:Someone who makes value out of data. ... Data Scientist duties typically include creating various Machine Learning-based tools or processes within the company, such as recommendation engines or automated lead scoring systems. People within this role should also be able to perform statistical analysis.

42

The Evolution of Service Models

1980 2018

Low

Hig

hC

usto

mer

Valu

e

Contractual“CSAs”

TransactionalBreak/Fix

Expanded Customer Outcomes

Optimized Assets & Operations

Uber of ServiceFuture State

Sell repairs and parts

Service requirements + R.E.

and AOV = optimal value

and scheduling

Use data and analytics to

provide decision support

services

Share risk, reducing the total

cost of ownership

43

Types of Equipment FailureE

quip

ment

Conditio

n

Time

Point where

failure starts to

occur (not

necessarily

due to age or

usage)

P: Potential Failure Condition Detectable

F: Failure

(point at which

a component

fails to perform

its functions or

acceptable

criteria is

exceeded).

P - F Interval

44

Precision MaintenanceE

quip

ment

Conditio

n

Time

P: Potential Failure

P - F IntervalI - P Interval

F: Catastrophic

Failure

Ultrasonic

Analysis

Vibration

Sound

Mechanical

Loose

Heat

Ancillary

Damage

Precision

Maintenanc

e

CBM

Predictive

Maintenanc

e

Corrective

Maintenance

Run To Failure

Preventativ

e

Maintenanc

e

> Energy

Consumption

$10

0 to

repair

$10 to

prevent

$1 to

predict

disruptive trends management...7 disruption: a disruptive innovation is an innovation that creates a...

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