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Construction
Technology Quarterly
Q4, 2020December 10th, 2020
Construction is Seeing
Waves of Innovative New
Companies
“App Fatigue”
2(C) Hugh Seaton
Construction Technology Quarterly
• Free, online resource:
• What’s out there
• Find companies
• Ideas to help make sense of it all
• Courses to upskill teams
3(C) Hugh Seaton
Contents
1. Demand for Construction Technology
2. Supply of Construction Technology
3. Frameworks and Technology Trends
4. Courses and Upskilling
4(C) Hugh Seaton
5(C) Hugh Seaton
Demand:
Digital Transformation
6(C) Hugh Seaton
Digital Transformation is the changing of
a complex web of users, producers,
regulators and markets.
7(C) Hugh Seaton
Past Digital Transformations
• Electronics at Sony
• Broadband at AOL
• Advertising at BBDO
• Training at my own company/Glimpse
8(C) Hugh Seaton
Electronics Was
Simple
Driver of change:
Consumer Preference
9
Electronics
Enabling
Technologies
Distributors
Consumers
(C) Hugh Seaton
Broadband Was Less
Simple
Driver of change:
Ecosystem Readiness
10
BroadbandRegulators
Telecoms
Electronics
Makers
Content
Makers
Consumers
(C) Hugh Seaton
Advertising Even Less
Simple
Driver of change:
Buyer Pressure for Cost
Disruption of Distribution
11
AdvertisingMedia
Market
Media
Buyers
Content
Makers
Analytics
Techniques
Clients
Search
(C) Hugh Seaton
Construction is
Complex
Driver of change:
Consumerization of technology
Contractor Competition
12
ConstructionOwners
Architects
General
Contractors
Trades
Risk
Contract
Structure
Unions
Regulations
Skill
Standards
Technologies
(C) Hugh Seaton
“Software is
Eating The World”
- Marc Andreeson, Founder of
Netscape and Andreeson
Horowitz
13(C) Hugh Seaton
Start of Digital Transformation:
Turning Physical Processes Into
Software-based Workflows
14(C) Hugh Seaton
Digital
Transformation
Lessons
Learned
1. Ecosystems change by hundreds of small
decisions
2. A sense of clarity about what’s out there helps
those decisions
1. We have to overcome “app fatigue”
3. Giving decision makers information and tools to
make sense of it all makes decisions faster,
better, more durable
4. Hearing from others in the same industry helps
decision makers feel it will work for them.
15(C) Hugh Seaton
Demand:
Some Numbers
16(C) Hugh Seaton
We Know It’s A Big Industry
730,000+ companies
$1,300,000,000/year
17(C) Hugh Seaton
We Need To Stop Thinking Of
Construction As A Single Entity
18(C) Hugh Seaton
Sharper Statistics
19(C) Hugh Seaton
$1.3
Trillion
(US)
Private
Construction
$971.1 Bn
Non-Residential
$440.8Bn
Residential
$530 Bn
20(C) Hugh Seaton
Public
$380Bn
State & Local
$351Bn
Federal
$29Bn
21
$1.3
Trillion
(US) 92.4%
(C) Hugh Seaton
Is all
Construction
The Same?
• Residential $530 Billion
• Commercial $440 Billion
• Public/Local $351 Billion
• Federal $ 29 Billion
22(C) Hugh Seaton
23
https://www.bls.gov/lpc/construction.htm
(C) Hugh Seaton
Implication:
That $440
Billion is
Different
All markets have leaders, leading segments
Commercial leads, but is only 1/3 of the
total market
DPR/Mortenson do not need help with
digital transformation
Are we addressing the other 2/3?
24(C) Hugh Seaton
Loose Indicator:
Top Firms Staff
for Innovation &
Technology
25
Approx
Headcount
Keyword:
”Innovation”
Keyword:
“Technology”
BECHTEL 14,000 195 2,500
THE TURNER CORP. 10,000 176 1,500
AECOM 4,000 82 1,000
WHITING-TURNER 3,500 46 669
KIEWIT CORP. 9,000 101 1,500
MCDERMOTT 13,000 176 3,000
(C) Hugh Seaton
470,732
112,709
67,572
43,558
13,004 6,162 1,358 391 155
< 5 5 to 9 10 to 19 20 to 49 50 to 99 100 to 249 250 to 499 500 to 999 > 1,000
155 Firms with 1,000+
Construction Companies by
Employee Count
26(C) Hugh Seaton
470,732
112,709
67,572
43,558
13,004 6,162 1,358 391 155
< 5 5 to9 10 to 19 20 to 49 50 to 99 100 to 249 250 to 499 500 to 999 > 1,000
Distribution of Construction Firm Sizes
These Three Company types do not
behave the same way.
These Three Company types do not
behave the same way.
These three company
types do not behave the
same way.
27(C) Hugh Seaton
ENR Top 50
28
$-
$2,000
$4,000
$6,000
$8,000
$10,000
$12,000
$14,000
$16,000
$18,000
BECHTEL
FLUOR
CORP.
TURN
ER
CORP.AECOM
THE
W
HITING-TURNER
CON
TRACTING
CO.
KIEW
IT
CORP.
SKAN
SKA
USA
PCL
CONSTRUCTION
ENTERPRISES
INC.
M
CDERM
OTT
DPR
CO
NSTRUCTION
GILBAN
EBUILDING
CO
.
TUTOR
PERINICORP.
CLARK
GROUP
STO
BUILDIN
G
GROUP
INC.
HENSELPHELPS
M
ORTENSON
BALFOUR
BEATTY
US
THE
W
ALSH
GROUP
LTD.
LENDLEASE
SW
INERTON
M
CCARTHY
HOLDINGSINC.
JEDUNN
CONSTRUCTIO
N
CO.SUFFOLK
GRANITE
CON
STRU
CTION
INC.
BRASFIELD
&
GORRIE
LLC
HOLDER
CONSTRUCTION
CO.
M
ICHELS
CORP.
PRIM
O
RISSERVICES
CORP.
DRAGADO
S
TURN
ER
INDUSTRIESGROUP
LLC
ZACHRY
GROU
P
CLAYCO
INC.
AUSTIN
IN
DU
STRIES
THE
YATESCOS.INC.W
OO
D
W
EBCOR
CO
NSTR.DBA
W
EBCOR
BUILDERS
ALBERICI-FLIN
TCO
HITT
CONTRACTIN
G
IN
C.JACO
BS
BARTO
N
M
ALO
W
CO.
CO
LASINC.
BLACK
&
VEATCHKBR
INC.
LAYTON
CO
NSTRUCTION
CO.LLC
LANE
INDUSTRIESIN
C.
FLATIRON
CO
NSTRUCTION
ARCO
CONSTRUCTIO
N
COS.
BURNS&
M
CDONNELL
RYAN
COS.INC.
DEVCON
CON
STRUCTION
INC.
(C) Hugh Seaton
-40,000
10,000
60,000
110,000
160,000
210,000
260,000
AppleFacebookAm
azonAlphabetBECHTEL
FLUOR
CORP.
TURNER
CORP.AECOM
THEW
HITING-TURNER
CONTRACTING
CO.
KIEW
ITCORP.
SKANSKA
USA
PCLCONSTRUCTION
ENTERPRISES
INC.
M
CDERM
OTT
DPR
CONSTRUCTION
GILBANEBUILDING
CO.
TUTORPERINICORP.
CLARKGROUP
STO
BUILDING
GROUP
INC.
HENSELPHELPS
M
ORTENSON
BALFOUR
BEATTYUS
THEW
ALSH
GROUP
LTD.
LENDLEASE
SW
INERTON
M
CCARTHY
HOLDINGS
INC.
JEDUNN
CONSTRUCTION
CO.SUFFOLK
GRANITE
CONSTRUCTION
INC.
BRASFIELD
&
GORRIE
LLC
HOLDER
CONSTRUCTION
CO.
M
ICHELSCORP.
PRIM
ORISSERVICESCORP.
DRAGADOS
TURNER
INDUSTRIESGROUP
LLC
ZACHRYGROUP
CLAYCO
INC.
AUSTIN
INDUSTRIES
THEYATESCOS.INC.W
OOD
W
EBCOR
CONSTR.DBA
W
EBCOR
BUILDERS
ALBERICI-FLINTCO
HITT
CONTRACTING
INC.JACOBS
BARTON
M
ALOW
CO.
COLASINC.
BLACK&
VEATCHKBRINC.
Revenue: ENR Top 50 vs. Top Tech
29(C) Hugh Seaton
Industry
Fragmentation
by The
Numbers
ENR 400 = $374 Bn
29% of construction is by the 400 largest
ENR Top 50 = $222 Bn (17%)
30(C) Hugh Seaton
Summarizing
The Demand
Picture
• Roughly 1/3 of the construction industry
is commercial
• Commercial productivity less dire than
construction overall
• Most demand for most products will be
from <400 potential customers
• The remaining 2/3 of Construction is
harder to reach, harder to convince,
harder to ”transform”
• This includes infrastructure, which is
usually hard Design-Bid-Build
31(C) Hugh Seaton
Supply of Technology
32(C) Hugh Seaton
How to
Organize
Hundreds of
Offerings?
• Do we care what technology they use?
• Or do we care what problem they solve?
• Competition is based on customer problems, not
technical solutions.
33(C) Hugh Seaton
Organizing For User Value
• Layer one: the major job type
• Layer two: the specific job
• Layer three: the technology used
• Layer four: the maturity of the technology used
34(C) Hugh Seaton
35(C) Hugh Seaton
36(C) Hugh Seaton
37(C) Hugh Seaton
38(C) Hugh Seaton
What Do We
Find?
1. Not surprisingly, project management and team
communication are the biggest categories.
2. Design a close second
3. Almost everything is delivered via web-based
SaaS
1. Most have a mobile app, but are web-
centric
4. Relatively few solutions are about putting work
in place
39(C) Hugh Seaton
A Value Chain Framework
Every process has an input, and an output. We string these
together into a chain to produce value.
Chris Mayer (Suffolk) proposed dividing technologies into those that
are necessary, and those that directly add value.
Putting
Work in
Place
Project
Initiation
Design Estimating Submittals Scheduling Project
Management
Jobsite
Management
Inspections Closeout Facilities
Management
40(C) Hugh Seaton
We Are in a
Process
Every digital transformation starts with the
paperwork.
Forms, accounting, communication are
gateways to deeper transformation of who
does the work, how we organize, what
tools we use:
41
• People
• Process
• Technology
(C) Hugh Seaton
Other
Findings
• Much better:
• Tools to capture the jobsite – truly
understanding and accessing what’s being,
and already been, built.
• Tools to collaborate & communication more
richly than text.
• Artificial Intelligence:
• Showing up as services like voice and
machine vision
• These don’t require data to get started
• A few less clear “machine learning/AI”
powered offerings
• Bunch of interesting approaches to reality capture,
IoT, others
42(C) Hugh Seaton
CTQ Directory
• Part of Construction Technology Quarterly
• Comprehensive Construction Technology Database
• Free
• Not pay to play
• Searchable by job, task & technology
• Crowd-sourced tagging for better search
43(C) Hugh Seaton
Where This
Goes Next
• Sharing today as Google Sheet
• https://bit.ly/ctq-public
• Please comment with additions,
corrections, ideas – whatever
• Permanent Home: https://ctq.directory
• Currently hosting forms:
• Add your company
• Request a free presentation like this
• Searchable database published Jan
4th
44(C) Hugh Seaton
Framework #1:
Mapping Technologies
45(C) Hugh Seaton
Wardley Maps
• Simon Wardley, a tech CEO
• Organize current and potential
technologies
• Tech maturity vs. distance from
the customer
46(C) Hugh Seaton
47
Closer to value
creation
Enabling
Technologies
Very New Very Stable
(C) Hugh Seaton
Value Chain
• Closer to value delivery the technology,
the less we can tolerate customization
and experimentation.
• In Construction, that means the closer to
the work of putting work in place – the
core value delivery.
48(C) Hugh Seaton
Disruption
• When a very new approach replaces a
very stable approach
• Wardley’s Genesis is where you go to
disrupt processes with new technology
49(C) Hugh Seaton
Maturity
• Different technologies can support different levels
of ‘consulting’ and adjustment.
• Simon Wardley liked to user four stages:
• Genesis/experimental
• Custom
• Product
• Commodity
50(C) Hugh Seaton
Loose Indicator:
Where
Construction
Technologies Sit
51(C) Hugh Seaton
Framework #2: Service
Oriented Architectures
52(C) Hugh Seaton
Breaking Up
Software
APIs are now very common – they are based on
‘contracts’ between software to exchange data.
What if components within software talked to each
other based on ‘contracts’?
This has been called “Service Oriented Architecture”
53(C) Hugh Seaton
What Digital
Technologies
Do
1. Take in data
2. Do things to data
3. Send out data
So how you organize the “doing things” and the
“sending data” is crucial.
54(C) Hugh Seaton
Evolution of Systems
Monolithic Software
Islands
Users
Software
Users
Google
API
LinkedIn
API
AWS API
API
API
API
API
Platform/iPaaS
Software Software Software
API
API
API
Users
55(C) Hugh Seaton
Evolution of
Systems:
Service
Oriented
• What if you need to scale up some of the
“things” and not others?
• What if you need to scale them up fast,
but then scale back down?
• What if you want to change how one
function works, but don’t want to risk the
whole system?
56(C) Hugh Seaton
Evolution of
Systems:
Service
Oriented
• Separate functions into micro-
functions, treat them like a service.
• Put them into containers, virtual
machines you can just copy.
• Make them talk to each other like APIs
– standard ‘contracts’.
57(C) Hugh Seaton
Service Oriented, or Micro-Services
• Why this matters:
• Micro-services take more work, but are
much more scalable
• Easier to support with different teams
• Easier to integrate with different systems
Functions Functions Functions
Functions Functions Functions
Functions Functions Functions
Users
58
Most early products have to be a monolith,
but mature products will often be a micro
service.
(C) Hugh Seaton
The Next Stage:
Service Mesh
• Microservices are internal to an
application
• What if you could do that for all the
functions and applications on your
system?
• Service mesh that automatically
responds, manages itself, and
dramatically optimizes cost &
performance.
59
Check out istio.io, AWS or
Mulesoft to learn more
(C) Hugh Seaton
Courses
60(C) Hugh Seaton
Procore.org
• Fantastic program of learning,
courses and culture change
• I was honored to write (and
star in!) the Data in
Construction Series
61
https://www.procore.com/data-
construction-series
(C) Hugh Seaton
62
Primer on software and tech
(on amazon now!)
Talking with tech leaders
www.constructedfutures.com
(C) Hugh Seaton
Strong
Community
Doing Amazing
Things
63
Many More
(C) Hugh Seaton
MCA Chicago Blue Collar Labs The Digit Group
Supporters
(C) Hugh Seaton
Special Thanks to
Giana Bartko
Fordham 2022
65(C) Hugh Seaton
Thank You
66
https://ctq.directory
(C) Hugh Seaton

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