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CONSTRUCTION DIVE 1
How to Harness Big Data to
Drive Performance Across
Your Project Portfolio
Why and How to Capitalize on This Emerging Movement:
A Playbook for Project Portfolio & Executive Leaders
A CONSTRUCTION DIVE PLAYBOOK
CONSTRUCTION DIVE 2
Why You Should Harness Big Data
The Top Five Things to Look for When
Choosing Construction Management Software
Big data is beginning to transform the engineering and
construction (E&C) industry as more companies capitalize on
its potential to drive project management performance. This
playbook covers four important topics to help you understand
and harness the power of big data:
An Overview of Big Data in
the E&C Industry1
2
3
4
How to Harness Big Data with
Construction Management Software
Together, these topics will give you a comprehensive
understanding of the role that big data can play in
construction portfolio management, help you discover
important reasons for embracing big data, and provide
actionable steps you can use to get started.
CONSTRUCTION DIVE 3
In the construction industry, as in other sectors, big data
refers to the huge quantities of information that have been
stored in the past and that continue to be acquired today.
Big data can come from people, computers, machines,
sensors, and any other data-generating device or agent.1
— RACHEL BURGER, construction management expert at
Gartner Inc., a leading research company
“
CONSTRUCTION DIVE 4
While big data presents a vast array of unmined opportunities,
the E&C industry has been slow to leverage it. With regard
to portfolio management specifically, the power of big data
analytics has yet to be fully embraced due to a combination
of factors:
AN OVERVIEW OF BIG DATA
IN THE E&C INDUSTRY
A lack of understanding. Data analytics are
developing at a rapid pace, making it difficult to keep
up with technology advancements and the benefits
associated with them.
A lack of resources. Many E&C companies simply
do not have the in-house IT infrastructure and
expertise to successfully harness big data.
A lack of willingness to change. Having already
invested heavily in legacy software systems, many
E&C executives may be hesitant to invest in new
software solutions.
CONSTRUCTION DIVE 4
1
2
3
CONSTRUCTION DIVE 5
In fact, a 2016 global construction survey found that just 36
percent of engineering and construction companies–and only
21 percent of owners–were using advanced data analytics for
project-related estimation and performance monitoring.2
Howev-
er, there are signs that the slow-adoption sentiment is changing.
As new ways of collecting and using data have emerged, big
data has begun to move to the forefront of E&C disciplines.
A February 2017 article published by Engineering News-
Record (titled “Data Mining Gains More Cachet in Construction
Sector”) reported, “Now, with vastly improved tools to collect
and store enormous amounts of data collected from project
stakeholders and the growing need to analyze and interpret
it… construction-sector companies and software firms are
embracing data science—and those who are good at it—in
new ways.”3
Nevertheless, many project-portfolio and executive leaders are
left wondering exactly why and how they should be harnessing
big data.
CONSTRUCTION DIVE 6
WHY YOU SHOULD HARNESS BIG DATA
Uncontrolled data = project delivery and company risk
RISK
Karthik Venkatasubramanian, Senior Director, Data Strategy
and Operations at Oracle Aconex, explains why the time is
ripe for disruption in project management protocols: “First,
big data is real, it’s now. It is real in the sense that you can
use it on your day-to-day job, and it’s available now, so you
can apply it to a current project,” he says. “Second, you can
actually make a difference by using big data to address four
key parameters—time, cost, quality and safety. Third, other
project-portfolio managers and executives in the industry are
already doing this. Therefore, you risk getting left behind by
not jumping on the big-data bandwagon.”
PERFORMANCE
Don’t get left behind - drive performance using big data insights
Construction projects require thousands of people to collabo-
rate on project processes like inspections, RFIs, and change
orders. Without an efficient system, data can get trapped and
risk can increase. Manual data entry, inefficient processes,
and delayed visibility can lead to budget & schedule risk. Not
having easy access to ‘proof of what happened’ can lead to
compliance & litigation risk, and it can increase the time and
resources spent on dispute resolution. And if project data isn’t
adequately protected, your corporate risk is higher.
CONSTRUCTION DIVE 7
When considering the impact of big data… it is not the
amount of data that is important. It’s what organizations do
with the all of this data that matters. Data of any variety can
be analyzed for insights that lead to better decisions and
strategic business moves.
— TOM STEMM, “Moving Big Data Into the Cloud,” Construction
Executive, published June 20, 2017
“
CONSTRUCTION DIVE 8
Connect your project teams, processes, and data on a
single cloud platform to share, analyze and harness big
data at a more sophisticated level.
When data is effectively and efficiently captured, processed
and analyzed, you can gain a more complete understanding of
your entire portfolio. This leads to several advantages:
BENCHMARKING
A collaborative big-data platform allows you to set benchmarks
around what success looks like in terms of timeframes, costs,
productivity and ROI.
FASTER AND MORE THOROUGH REPORTING
You will be able to create reports on operations more frequent-
ly, in real time, to gain better insights into each project’s prog-
ress. These insights can drive continuous improvement across
your entire portfolio.
BETTER RISK PREDICTION AND AVOIDANCE
Having one platform for all project information helps avoid
miscommunication, oversights and errors, all of which can
lead to costly rework. By implementing data analytics, you
also will be able to detect potential risks or problems early
and take action faster.
CONSTRUCTION DIVE 9
MORE EFFECTIVE PROJECT CHANGE MANAGEMENT
The faster you can detect, monitor and manage challenges
and changes, the more likely your projects are to stay on track
from a budget perspective, from a scheduling perspective and
from a safety perspective.
ENHANCED BUDGET ACCURACY
“From the pricing of personnel to the cost of materials and
suppliers, big data helps to better budget in real time, create
improved planning procedures and save money throughout
the life of the project,” stated Anirban Basu, chief economist
of Associated Builders and Contractors, in his association’s
December 12, 2017, Newsline newsletter.
IMPROVED SAFETY
Insights gained from data analysis can help your company
predict the future and make changes ahead of time to elimi-
nate hazards and fine-tune safety training.
BETTER OUTCOMES
Construction projects that are well run, well planned and well
managed produce higher-quality and more profitable outcomes.
CONSTRUCTION DIVE 10
Experts expect collaborative approaches to
become more commonly adopted for construction
projects… Powered by “best of breed” integrated
technology platforms to support all stakeholders,
these approaches that will alter the face of the
industry will gain ground in 2018.”
— TYLER RIDDELL, “Major Events Affecting the Construction Industry,”
Construction Executive Tech Trends, published December 15, 2017
“
CONSTRUCTION DIVE 11
HOW TO HARNESS BIG DATA WITH CONSTRUCTION
MANAGEMENT SOFTWARE
The best way to leverage big data across your entire portfolio is to standardize construction management with a single,
proven software solution. You can achieve this objective by encouraging your organization’s leaders to complete the five
steps listed below.
START GATHERING KEY INFORMATIONESTABLISH YOUR OBJECTIVES
1 2
“The best way for any E&C company (owner or contractor)
to get started around big data is to really focus on what
operational life-cycle area they wish to improve,” says Chris
Dobbyn, Executive Director, Construction & Engineering
Solutions of Oracle Aconex. “If you are an owner, do you
want to improve planning, building or operating? If you are
a contractor, do you want to improve how you pursue, build
or repeat things? Then the dialogue can shift toward more
meaningful and insightful lines of questioning: ‘What data
would allow us to make swift, accurate and less risky business
decisions? How and where would we need to capture it?
Once we have it, what will we do with it?’ Without objectives,
big data is just ‘stuff.’ However, with objectives, big data can
become a golden-ticket-generating machine.”
Perform a data-sharing analysis and assimilate an-
swers to exploratory questions such as:
1.	 What people, processes and systems do you
already have in place?
2.	 With which partners do you share information
the most?
3.	 Who are the individuals critical to project
	 portfolio management?
4.	 Where is data sharing typically congested?
DETERMINE WHAT YOU WANT TO MEASURE
Today, an increasing number of E&C companies are
integrating data into a single cloud-based system to drive
performance across their portfolios.
STANDARDIZE CONSTRUCTION MANAGEMENT
PROCESSES & SOFTWARE
3
4
By establishing key performance indicators early, you will be
able to determine if project performance is improving over
time. Do you want to measure enrichment of BIM data over
a project lifecycle? Do you want to measure certain improve-
ments or costs or change-management control? Do you want
to measure improvements around schedule management, or
some other key indicator of performance?
“The big-data collection part is actually fairly easy now, be-
cause computing machines are far more powerful. So now
it’s a matter of how well we catalog, categorize and deal with
data as it is coming in,” Dobbyn states. “The most successful
companies think of big data in a more enterprise way, because
the aggregate of information is where the profit margin is. You
need to have your project information going into a centralized,
enterprise-wide, scalable cloud platform. And then the data set
becomes very interesting because it is easier to mine. By first
piloting software on one project, you can learn and work out
the kinks before deploying company-wide.”
CONSTRUCTION DIVE 12
CONSTRUCTION DIVE 13
BEGIN YOUR BIG DATA JOURNEY
Here is where data accumulated in your legacy systems is
quite valuable. Then you do something to manage your
present, which is the Diagnostic stage.”
“But where it gets really interesting is from stage 3 and upward.
Stage 3 is getting Predictive. That’s when you ask, ‘What would
happen?’ Then stage 4 is Prescriptive, when you say, ‘What
actions need to be taken to avoid what might happen?’ And the
last stage is Adaptive, when we ask, ‘Could we build systems
and processes that are adaptive, that are learning from
interaction, so that we can change and tweak user behavior
and system behavior to try to manage processes?”
5
“We see many E&C professionals who are struggling
with how to implement a cloud-based solution,”
Venkatasubramanian says. “What helps is knowing that
there needs to be a path to action.”
“Essentially, you should think of harnessing big data as a
journey,” he continues, referring to steps detailed in Figure 1
below. “You start at the Descriptive stage, which is looking at
the past: determining what happened and what you learned.
What needs to change and be re-architected?
DESCRIPTIVE
What is happening now?
What might happen and how do we manage it?
What actions can be taken proactively?
What happened and what can we learn?
DIAGNOSTIC
PREDICTIVE
PRESCRIPTIVE
ADAPTIVE
1
2
3
4
5
CONSTRUCTION DIVE 14
FIGURE 1 The Big Data Journey
CONSTRUCTION DIVE 15
One of Engineering News-Record’s Top 400 Contractors
and Design Firms was struggling with inconsistencies in how
they managed project information and processes across their
business practices. Inconsistent and manual data collection
exposed them to schedule and quality risk, while inhibiting
insights and accountability.
INSIGHTS & CONTROL: Since standardizing multiple
business units on Aconex construction management software,
the company has improved visibility, control, and collaboration
with external stakeholders.
CASE STUDY: HOW ONE EPC DRIVES PERFORMANCE WITH BIG DATA
AND STANDARDIZATION
SAFETY: By digitizing safety processes, they can see
correlations between projects that completed safety forms and
those that had incidents. Standardization gives them the ability
to compare across business units. Change management has
been easier because Aconex easily adapts to the way the
company manages their processes; workers don’t mind using
the new digital forms because they look just like the previous
paper forms.
PRODUCTIVITY: Because the software enables faster deci-
sion-making, project turnaround times have decreased since
the company began standardizing in mid-2016. Figure 2.
CONSTRUCTION DIVE 16
FIGURE 2 Standardization in mid-2016 reduces project turnaround times
Request/Approval Review
CONSTRUCTION DIVE 17
The company is overperforming the industry across the board
in process executions by achieving shorter durations and
fewer days overdue. Figure 3.
Case-study Company’s Performance
vs. Industry Performance
FIGURE 3
Case-study Company
Industry average
CONSTRUCTION DIVE 17
CONSTRUCTION DIVE 18
CONTINUOUS LEARNING: Standardization with Aconex
will allow them to identify and share best practices learned
from high-performing projects. For example, the company
can identify clear patterns in partner performance. In Figure
4, each dot represents a supply chain partner, and you can
see which partners are consistently overdue on process
turnaround times. This data could be used for partner
selection and contract negotiation.
Partner Process Management Performance
QUESTIONS TO ASK WITH THIS DATA:
•	 Is this data used when contracts are let out?
•	 What causes such variability between partner performance?
•	 How much of this can be factored into the schedule?
•	 Can this be factored into the next project?
FIGURE 4
CONSTRUCTION DIVE 19
IT’S COLLABORATIVE AND PROVIDES A
COMMON DATA ENVIRONMENT (CDE)
IT’S INTEGRATED ACROSS THE
PROJECT LIFECYCLE
THE TOP FIVE THINGS TO
LOOK FOR WHEN CHOOSING
CONSTRUCTION MANAGEMENT
SOFTWARE
1
Software should provide project teams an environment where
they can collaborate on processes. A CDE, also known as a
Common Data Environment, is a single source of truth that
makes it easy for project teams to work faster without errors
and rework. But teams will only trust using the software if it’s
fair. This requires that every company has their own private
workspace, so they feel comfortable entering information that
won’t be seen by other organizations (unless it’s proactively
shared). An unalterable audit trail between organizations is
critical for gaining adoption; no single organization should be
able to change or delete project history.
2
3
The right software will support critical processes across the
entire project lifecycle and connect to other key systems. This
ensures that you have control and visibility at every project
phase—from feasibility through handover to O&M. Connect-
ed processes ensure insights at every step and an automatic
“digital twin” of the project at handover, so you have fast ac-
cess to project history.
IT’S FAST TO DEPLOY AND USE
The software you choose should take days or weeks to de-
ploy, not months or years. And it must be easy to use. You
should be able to access portfolio, project and process data
within seconds to make better-informed decisions, as well as
produce detailed, and timely, spreadsheets and reports.
IT’S FLEXIBLE, ENABLING
PORTFOLIO-WIDE STANDARDIZATION4
5
Flexible software allows you to manage processes the way
you want, and it will work for your diverse project portfolio.
One system for all projects lets you standardize processes
and set benchmarks, enabling continuous learning and im-
provement. An easily configurable platform is key.
IT’S TESTED: SECURE SOFTWARE &
EXPERIENCED TEAM
Secure data is critical. You want to make sure the software
you select meets the highest international security standards,
including capabilities like: ISO 27001 certification, single sign-
on (SSO), and two-factor authentication. Your software pro-
vider should also have a strong track record and industry-spe-
cific expertise.
CONSTRUCTION DIVE 20
ABOUT ORACLE CONSTRUCTION AND ENGINEERING
Oracle Construction and Engineering delivers best-in-class project management
solutions that empower organizations to proactively manage projects, gain complete
visibility, improve collaboration, and manage change. Its cloud-based solutions for
global project planning and execution help improve strategy execution, operations,
and financial performance.
To find our more about how Oracle Construction and Engineering can help you har-
ness big data, Visit www.oracle.com/con­struction-and-engineering or call one of
our industry consultants at 1-800-423-0245
CONSTRUCTION DIVE 22
SOURCES
Rachel Burger, “How the Construction Industry is Using Big Data,” TheBalance.com, updated November 1, 2017
KPMG, Building a Technology Advantage, Global Construction Survey 2016, Armstrong, Gilge
Debra K. Rubin and Mary B. Powers, “Data Mining Gains More Cachet in Construction Sector,” Engineering
News-Record, published February 15, 2017
1
2
3

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How to harness big data to drive performance across your project portfolio

  • 1. CONSTRUCTION DIVE 1 How to Harness Big Data to Drive Performance Across Your Project Portfolio Why and How to Capitalize on This Emerging Movement: A Playbook for Project Portfolio & Executive Leaders A CONSTRUCTION DIVE PLAYBOOK
  • 2. CONSTRUCTION DIVE 2 Why You Should Harness Big Data The Top Five Things to Look for When Choosing Construction Management Software Big data is beginning to transform the engineering and construction (E&C) industry as more companies capitalize on its potential to drive project management performance. This playbook covers four important topics to help you understand and harness the power of big data: An Overview of Big Data in the E&C Industry1 2 3 4 How to Harness Big Data with Construction Management Software Together, these topics will give you a comprehensive understanding of the role that big data can play in construction portfolio management, help you discover important reasons for embracing big data, and provide actionable steps you can use to get started.
  • 3. CONSTRUCTION DIVE 3 In the construction industry, as in other sectors, big data refers to the huge quantities of information that have been stored in the past and that continue to be acquired today. Big data can come from people, computers, machines, sensors, and any other data-generating device or agent.1 — RACHEL BURGER, construction management expert at Gartner Inc., a leading research company “
  • 4. CONSTRUCTION DIVE 4 While big data presents a vast array of unmined opportunities, the E&C industry has been slow to leverage it. With regard to portfolio management specifically, the power of big data analytics has yet to be fully embraced due to a combination of factors: AN OVERVIEW OF BIG DATA IN THE E&C INDUSTRY A lack of understanding. Data analytics are developing at a rapid pace, making it difficult to keep up with technology advancements and the benefits associated with them. A lack of resources. Many E&C companies simply do not have the in-house IT infrastructure and expertise to successfully harness big data. A lack of willingness to change. Having already invested heavily in legacy software systems, many E&C executives may be hesitant to invest in new software solutions. CONSTRUCTION DIVE 4 1 2 3
  • 5. CONSTRUCTION DIVE 5 In fact, a 2016 global construction survey found that just 36 percent of engineering and construction companies–and only 21 percent of owners–were using advanced data analytics for project-related estimation and performance monitoring.2 Howev- er, there are signs that the slow-adoption sentiment is changing. As new ways of collecting and using data have emerged, big data has begun to move to the forefront of E&C disciplines. A February 2017 article published by Engineering News- Record (titled “Data Mining Gains More Cachet in Construction Sector”) reported, “Now, with vastly improved tools to collect and store enormous amounts of data collected from project stakeholders and the growing need to analyze and interpret it… construction-sector companies and software firms are embracing data science—and those who are good at it—in new ways.”3 Nevertheless, many project-portfolio and executive leaders are left wondering exactly why and how they should be harnessing big data.
  • 6. CONSTRUCTION DIVE 6 WHY YOU SHOULD HARNESS BIG DATA Uncontrolled data = project delivery and company risk RISK Karthik Venkatasubramanian, Senior Director, Data Strategy and Operations at Oracle Aconex, explains why the time is ripe for disruption in project management protocols: “First, big data is real, it’s now. It is real in the sense that you can use it on your day-to-day job, and it’s available now, so you can apply it to a current project,” he says. “Second, you can actually make a difference by using big data to address four key parameters—time, cost, quality and safety. Third, other project-portfolio managers and executives in the industry are already doing this. Therefore, you risk getting left behind by not jumping on the big-data bandwagon.” PERFORMANCE Don’t get left behind - drive performance using big data insights Construction projects require thousands of people to collabo- rate on project processes like inspections, RFIs, and change orders. Without an efficient system, data can get trapped and risk can increase. Manual data entry, inefficient processes, and delayed visibility can lead to budget & schedule risk. Not having easy access to ‘proof of what happened’ can lead to compliance & litigation risk, and it can increase the time and resources spent on dispute resolution. And if project data isn’t adequately protected, your corporate risk is higher.
  • 7. CONSTRUCTION DIVE 7 When considering the impact of big data… it is not the amount of data that is important. It’s what organizations do with the all of this data that matters. Data of any variety can be analyzed for insights that lead to better decisions and strategic business moves. — TOM STEMM, “Moving Big Data Into the Cloud,” Construction Executive, published June 20, 2017 “
  • 8. CONSTRUCTION DIVE 8 Connect your project teams, processes, and data on a single cloud platform to share, analyze and harness big data at a more sophisticated level. When data is effectively and efficiently captured, processed and analyzed, you can gain a more complete understanding of your entire portfolio. This leads to several advantages: BENCHMARKING A collaborative big-data platform allows you to set benchmarks around what success looks like in terms of timeframes, costs, productivity and ROI. FASTER AND MORE THOROUGH REPORTING You will be able to create reports on operations more frequent- ly, in real time, to gain better insights into each project’s prog- ress. These insights can drive continuous improvement across your entire portfolio. BETTER RISK PREDICTION AND AVOIDANCE Having one platform for all project information helps avoid miscommunication, oversights and errors, all of which can lead to costly rework. By implementing data analytics, you also will be able to detect potential risks or problems early and take action faster.
  • 9. CONSTRUCTION DIVE 9 MORE EFFECTIVE PROJECT CHANGE MANAGEMENT The faster you can detect, monitor and manage challenges and changes, the more likely your projects are to stay on track from a budget perspective, from a scheduling perspective and from a safety perspective. ENHANCED BUDGET ACCURACY “From the pricing of personnel to the cost of materials and suppliers, big data helps to better budget in real time, create improved planning procedures and save money throughout the life of the project,” stated Anirban Basu, chief economist of Associated Builders and Contractors, in his association’s December 12, 2017, Newsline newsletter. IMPROVED SAFETY Insights gained from data analysis can help your company predict the future and make changes ahead of time to elimi- nate hazards and fine-tune safety training. BETTER OUTCOMES Construction projects that are well run, well planned and well managed produce higher-quality and more profitable outcomes.
  • 10. CONSTRUCTION DIVE 10 Experts expect collaborative approaches to become more commonly adopted for construction projects… Powered by “best of breed” integrated technology platforms to support all stakeholders, these approaches that will alter the face of the industry will gain ground in 2018.” — TYLER RIDDELL, “Major Events Affecting the Construction Industry,” Construction Executive Tech Trends, published December 15, 2017 “
  • 11. CONSTRUCTION DIVE 11 HOW TO HARNESS BIG DATA WITH CONSTRUCTION MANAGEMENT SOFTWARE The best way to leverage big data across your entire portfolio is to standardize construction management with a single, proven software solution. You can achieve this objective by encouraging your organization’s leaders to complete the five steps listed below. START GATHERING KEY INFORMATIONESTABLISH YOUR OBJECTIVES 1 2 “The best way for any E&C company (owner or contractor) to get started around big data is to really focus on what operational life-cycle area they wish to improve,” says Chris Dobbyn, Executive Director, Construction & Engineering Solutions of Oracle Aconex. “If you are an owner, do you want to improve planning, building or operating? If you are a contractor, do you want to improve how you pursue, build or repeat things? Then the dialogue can shift toward more meaningful and insightful lines of questioning: ‘What data would allow us to make swift, accurate and less risky business decisions? How and where would we need to capture it? Once we have it, what will we do with it?’ Without objectives, big data is just ‘stuff.’ However, with objectives, big data can become a golden-ticket-generating machine.” Perform a data-sharing analysis and assimilate an- swers to exploratory questions such as: 1. What people, processes and systems do you already have in place? 2. With which partners do you share information the most? 3. Who are the individuals critical to project portfolio management? 4. Where is data sharing typically congested?
  • 12. DETERMINE WHAT YOU WANT TO MEASURE Today, an increasing number of E&C companies are integrating data into a single cloud-based system to drive performance across their portfolios. STANDARDIZE CONSTRUCTION MANAGEMENT PROCESSES & SOFTWARE 3 4 By establishing key performance indicators early, you will be able to determine if project performance is improving over time. Do you want to measure enrichment of BIM data over a project lifecycle? Do you want to measure certain improve- ments or costs or change-management control? Do you want to measure improvements around schedule management, or some other key indicator of performance? “The big-data collection part is actually fairly easy now, be- cause computing machines are far more powerful. So now it’s a matter of how well we catalog, categorize and deal with data as it is coming in,” Dobbyn states. “The most successful companies think of big data in a more enterprise way, because the aggregate of information is where the profit margin is. You need to have your project information going into a centralized, enterprise-wide, scalable cloud platform. And then the data set becomes very interesting because it is easier to mine. By first piloting software on one project, you can learn and work out the kinks before deploying company-wide.” CONSTRUCTION DIVE 12
  • 13. CONSTRUCTION DIVE 13 BEGIN YOUR BIG DATA JOURNEY Here is where data accumulated in your legacy systems is quite valuable. Then you do something to manage your present, which is the Diagnostic stage.” “But where it gets really interesting is from stage 3 and upward. Stage 3 is getting Predictive. That’s when you ask, ‘What would happen?’ Then stage 4 is Prescriptive, when you say, ‘What actions need to be taken to avoid what might happen?’ And the last stage is Adaptive, when we ask, ‘Could we build systems and processes that are adaptive, that are learning from interaction, so that we can change and tweak user behavior and system behavior to try to manage processes?” 5 “We see many E&C professionals who are struggling with how to implement a cloud-based solution,” Venkatasubramanian says. “What helps is knowing that there needs to be a path to action.” “Essentially, you should think of harnessing big data as a journey,” he continues, referring to steps detailed in Figure 1 below. “You start at the Descriptive stage, which is looking at the past: determining what happened and what you learned.
  • 14. What needs to change and be re-architected? DESCRIPTIVE What is happening now? What might happen and how do we manage it? What actions can be taken proactively? What happened and what can we learn? DIAGNOSTIC PREDICTIVE PRESCRIPTIVE ADAPTIVE 1 2 3 4 5 CONSTRUCTION DIVE 14 FIGURE 1 The Big Data Journey
  • 15. CONSTRUCTION DIVE 15 One of Engineering News-Record’s Top 400 Contractors and Design Firms was struggling with inconsistencies in how they managed project information and processes across their business practices. Inconsistent and manual data collection exposed them to schedule and quality risk, while inhibiting insights and accountability. INSIGHTS & CONTROL: Since standardizing multiple business units on Aconex construction management software, the company has improved visibility, control, and collaboration with external stakeholders. CASE STUDY: HOW ONE EPC DRIVES PERFORMANCE WITH BIG DATA AND STANDARDIZATION SAFETY: By digitizing safety processes, they can see correlations between projects that completed safety forms and those that had incidents. Standardization gives them the ability to compare across business units. Change management has been easier because Aconex easily adapts to the way the company manages their processes; workers don’t mind using the new digital forms because they look just like the previous paper forms. PRODUCTIVITY: Because the software enables faster deci- sion-making, project turnaround times have decreased since the company began standardizing in mid-2016. Figure 2.
  • 16. CONSTRUCTION DIVE 16 FIGURE 2 Standardization in mid-2016 reduces project turnaround times Request/Approval Review
  • 17. CONSTRUCTION DIVE 17 The company is overperforming the industry across the board in process executions by achieving shorter durations and fewer days overdue. Figure 3. Case-study Company’s Performance vs. Industry Performance FIGURE 3 Case-study Company Industry average CONSTRUCTION DIVE 17
  • 18. CONSTRUCTION DIVE 18 CONTINUOUS LEARNING: Standardization with Aconex will allow them to identify and share best practices learned from high-performing projects. For example, the company can identify clear patterns in partner performance. In Figure 4, each dot represents a supply chain partner, and you can see which partners are consistently overdue on process turnaround times. This data could be used for partner selection and contract negotiation. Partner Process Management Performance QUESTIONS TO ASK WITH THIS DATA: • Is this data used when contracts are let out? • What causes such variability between partner performance? • How much of this can be factored into the schedule? • Can this be factored into the next project? FIGURE 4
  • 19. CONSTRUCTION DIVE 19 IT’S COLLABORATIVE AND PROVIDES A COMMON DATA ENVIRONMENT (CDE) IT’S INTEGRATED ACROSS THE PROJECT LIFECYCLE THE TOP FIVE THINGS TO LOOK FOR WHEN CHOOSING CONSTRUCTION MANAGEMENT SOFTWARE 1 Software should provide project teams an environment where they can collaborate on processes. A CDE, also known as a Common Data Environment, is a single source of truth that makes it easy for project teams to work faster without errors and rework. But teams will only trust using the software if it’s fair. This requires that every company has their own private workspace, so they feel comfortable entering information that won’t be seen by other organizations (unless it’s proactively shared). An unalterable audit trail between organizations is critical for gaining adoption; no single organization should be able to change or delete project history. 2 3 The right software will support critical processes across the entire project lifecycle and connect to other key systems. This ensures that you have control and visibility at every project phase—from feasibility through handover to O&M. Connect- ed processes ensure insights at every step and an automatic “digital twin” of the project at handover, so you have fast ac- cess to project history. IT’S FAST TO DEPLOY AND USE The software you choose should take days or weeks to de- ploy, not months or years. And it must be easy to use. You should be able to access portfolio, project and process data within seconds to make better-informed decisions, as well as produce detailed, and timely, spreadsheets and reports.
  • 20. IT’S FLEXIBLE, ENABLING PORTFOLIO-WIDE STANDARDIZATION4 5 Flexible software allows you to manage processes the way you want, and it will work for your diverse project portfolio. One system for all projects lets you standardize processes and set benchmarks, enabling continuous learning and im- provement. An easily configurable platform is key. IT’S TESTED: SECURE SOFTWARE & EXPERIENCED TEAM Secure data is critical. You want to make sure the software you select meets the highest international security standards, including capabilities like: ISO 27001 certification, single sign- on (SSO), and two-factor authentication. Your software pro- vider should also have a strong track record and industry-spe- cific expertise. CONSTRUCTION DIVE 20
  • 21. ABOUT ORACLE CONSTRUCTION AND ENGINEERING Oracle Construction and Engineering delivers best-in-class project management solutions that empower organizations to proactively manage projects, gain complete visibility, improve collaboration, and manage change. Its cloud-based solutions for global project planning and execution help improve strategy execution, operations, and financial performance. To find our more about how Oracle Construction and Engineering can help you har- ness big data, Visit www.oracle.com/con­struction-and-engineering or call one of our industry consultants at 1-800-423-0245
  • 22. CONSTRUCTION DIVE 22 SOURCES Rachel Burger, “How the Construction Industry is Using Big Data,” TheBalance.com, updated November 1, 2017 KPMG, Building a Technology Advantage, Global Construction Survey 2016, Armstrong, Gilge Debra K. Rubin and Mary B. Powers, “Data Mining Gains More Cachet in Construction Sector,” Engineering News-Record, published February 15, 2017 1 2 3