Learn how to integrate analytics software with Autodesk products to improve project visibility and communicate progress, issues and accomplishments to project stakeholders.
This class highlights proven approaches to design and integrate analytics into a project and demonstrates how stakeholders have the ability to view charts and trends including the ability to drill down into project data to identify challenge areas and apply corrective actions to improve the likelihood of a successful project outcome.
April 2024 - NLIT Cloudera Real-Time LLM Streaming 2024
Integrating Advanced Analytics with Autodesk Solutions
1. Join the conversation #AU2015
Integrating Advanced Analytics
with Autodesk Solution Delivery
Rich Hanapole
Principal Business Consultant
Tim Bourdois
Implementation Consultant
Renad Jabaji
Technical Consultant
Eddy Krygiel
Principal Business Consultant
rich.hanapole@autodesk.com tim.bourdois@autodesk.com renad.jabaji@autodesk.comeddy.krygiel@autodesk.com
2. Learn how to integrate analytics software with Autodesk products
to improve project visibility and communicate progress, issues
and accomplishments to project stakeholders.
This instructional demo provides attendees the opportunity to
learn about data integration and analytics modeling using industry
leading tools (like Tableau and Splunk).
This class highlights proven approaches to design and integrate
analytics into a project and demonstrates how stakeholders have
the ability to view charts and trends including the ability to drill
down into project data to identify challenge areas and apply
corrective actions to improve the likelihood of a successful project
outcome.
Class summary
4. Eddy Krygiel
19 years in the industry as an
architect
Implemented BIM on projects
ranging in size from 1250 sq ft to
1.6M including the Denver Airport
and 49ers Stadium
Author of the Mastering Revit
Architecture series
“Developing the design
into working details,
leading the production of
construction documents,
specifications, and
construction
administration.”
www.linkedin.com/in/eddykrygiel
eddy.krygiel@autodesk.com
Boulder, CO
5. Renad Jabaji
10 years of Design and
Construction solution delivery
Established BIM Manager leading
Mega-Projects
Pioneered deploying BIM to the
Cloud
Development and implementation
of Cloud collaboration for AEC
“As a lead consultant in
Global Services (based in
UAE), Renad has driven a
number of strategic growth
initiatives and new market
entry, specifically in the
Middle East.”
ae.linkedin.com/in/renadjabaji
renad.jabaji@autodesk.com
Dubai
6. Tim Bourdois
32 years of IT solutions delivery
Established record of delivering
Enterprise systems for the past 12
years
Experienced in 2D to 3D workflow
focused on manufacturing and
BIM industries.
“As project leader, Mr.
Bourdois has successfully
led diverse teams to
deliver large-scale and
mission critical data
management
engagements in fast-
paced environments.”
ca.linkedin.com/in/timbourdois
tim.bourdois@autodesk.com
Vancouver, BC
7. Rich Hanapole
23 years of Federal, State, and
Commercial IT solutions delivery
Established record of delivering
large scale and mission-critical
enterprise and government
systems
Decision support, Data Analytics
and Executive Dashboards
“Continually seeking to
identify new and emerging
technologies that improve
public service delivery and
modernize mission critical
legacy systems.”
www.linkedin.com/in/rhanapole
rich.hanapole@autodesk.com
Washington, DC
9. At the end of this class, you will be able to:
Explain analytical practices and methods
Improve visibility of project challenge areas and accomplishments
Understand how analytics can be integrated into Autodesk solutions
Articulate how analytics can improve the likelihood of project success
Key learning objectives
10. Forget your notebook? No problem!
After AU visit:
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Class Recordings
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Handouts
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#AU2015
11. Shared Needs and Challenges The “Art of the Possible”
Autodesk Revit Family Data Autodesk Vault Data
Project Data stored in
SharePoint Log Files
Autodesk PLM 360 Data
Autodesk BIM 360 Field Data
Creating Visualizations that Tell the Story
and Highlight Successes and Challenge
Areas
Graphic Representations of Event Data
that help fine tune infrastructure
performance
12. Analytics Integration Layers
Transformation and Integration
Presentation and Visualization
ReportsAnalytics and Trends Mobile
Data Sources
Application DataDatabases Other Sources
14. Vision and Execution focused
Easy to Use
Easy to Deploy
Easy to Integrate
Industry and Data Agnostic
Prominently Deployed
Well-known and have large Community
Base
Software Leaders
15. Advantages
• Visualization Leader
• Smallest learning curve to begin analysis
• Dashboard creation and deployment is
straightforward
• Wide user base provides a deep sample
collection and community support
• Shelf operations* support custom functionality
based on the values and order of input data
Disadvantages
• Fine tuning properties by dragging dimensions
between shelves* is less intuitive than controlling
properties directly
• Tool preferences may override user decisions
when switching visualization types
• Read only
*What’s a Shelf? Part of Tableau’s user interface that allows dragging
and dropping of data attributes
Using Tableau
17. Project Scope
Customer-aligned data analytics
Enterprise Project Dashboard
Collaboration & Program Management solution
Goals
Present stakeholders with a clear understanding of project
dynamics while optimizing solution delivery.
Visualize project metrics to leadership via dashboards
capable of drilling down into project details.
Integrate analytical tools that offer a consistent and
systematic approach to capturing and harnessing isolated
program data
Program Management
18. Program Management – “Under the hood”
Databases Big Data
Spreadshee
t Application Cloud SharePoint
19. Project Scope
Customer-aligned Revit metrics and analytics
Health Check Dashboard
Revit Families and Model Validation solution
Goals
Present stakeholders with a clear understanding of Revit
deployment and usage metrics while presenting
opportunities to optimize Revit configuration.
Visualize Revit metrics to managers via dashboards
capable of drilling down into areas requiring attention.
Integrate analytical tools that compliment and help
optimize and tune Autodesk Revit deployment and
configuration.
Revit Health Check
20. Revit Health Check – “Under the hood”
Databases Big Data
Spreadshee
t Application Cloud SharePoint
22. Connecting to Data
Many Native Sources: Excel, Access, MySQL, Oracle, SQL
Server
Preview and Query Creation
Live and Extract
Tableau Basics
26. Project Scope
BIM Implementation
Enterprise Project Dashboard
Collaboration & Data Management solution
Goals
Increase transparency & faster decision making
Continually monitor project health
Dynamic, real-time tool presenting accurate project info
Reduce time to generate monthly reports
Combine data from multiple data sources
Convert data to powerful visual representations
Control access and level of detail
Enterprise Project Dashboard
27.
28. Dashboard Data Sources
Project information related
to programme milestones
with Planned vs. Actuals
starts and completion dates.
Project information related
to Commercial Management
such as Contracts, Invoices,
Payments, Variation Orders
etc.
COMMERCIAL MGT.
PROGRAMME MGT.
BIM USES
Project information related to
design, coordination, planning
and field management such as
QTO, Clash Reporting, Snags,
QA/QC etc.
DOCUMENT CONTROL
On-premise project
information related to High
Level Budgets, Tendering &
Procurement, or large media
files etc.
CONSTRUCTION MGT.
Project information with
workflows involving Contractors
and Consultants such as RFIs,
RFCs, Shop Drawings etc.
29. PROJECT
PERFORMANCE
PROJECT S-CURVES
Dashboards & Reports
• Project Information
• Project Image/Map
• Design Progress
• Construction Progress
• Overall Progress
• Project Areas
• Development Cost
• Project Programme
• Authority Approvals
• Programme & Budget KPI
• Cost Performance Index (CPI)
• Schedule Performance Index (SPI)
• Labor & Manpower
• Time/Manhours
• Approved Payment by Vendor
• Consultant Cash Flow
• Contractor Cash Flow
• Overall Cash Flow
Model enabled reports
COMMERCIAL MGT
• Budget
• Budget Allocation
• RFC’s, Early Warnings, Claims
• Contracts, Invoices, Payments,
VOs
• Contingency Status
• High Level Estimates
• Cost Report
30. PROCUREMENT
Dashboards & Reports
• Two-Stage Current Estimate
• Two-Stage Fixed
• Two-Stage Current Estimate Split
• Two-Stage % Procured
• Vendor Selection
• Committed Costs
• Procurement Strategy
CONSTRUCTION MEDIAFIELD MANAGEMENT
• RFIs, RFCs, NCRs
• Shop Drawings
• Risks & Issues
• QA/QC
• Equipment Progress Tracker
• Material Inspections
• Punch List Issues
• Inspections Checklists
• Health & Safety
• Construction drill down
• Construction video
• Time Lapse Video / 5D
• Key Achievements
• Site Photos
Model enabled reports
33. How many of you need to analyze unstructured data
like log files?
How many of you have heard of Splunk
Splunk is a Multi User Monitoring & Analysis tool
Organizes & Indexes
Displays unstructured "structured"
Easy to learn
What is Splunk?
34. Advantages
• Large community player in the log
management
• Enterprise-focused
• Feature-rich log management tool available
with over 600 plugins available
• Supports movement of the log management
environment with SaaS version and a light
version for SMBs
• Security is extensive and it can work with a
huge range of machine data
• Excellent Documentation
Disadvantages
• Higher priced than alternative event
management tools
• On-premises solution requires planning
needed for hardware and space capacities.
Using Splunk
36. Provides integrated visualization that communicates
the “Big Picture”
Brings challenge areas to the forefront
Enables real-time interaction with data to help identify
root-causes
Identifies data trends and gives the team feedback as
to whether challenge areas are improving (or not)
Fosters a culture of defining and aligning to project
metrics
Analytics Improves the Likelihood of Project Success
37. Via the Survey Stations, email or mobile device.
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#AU2015
RICH:
Our class aims to present our POV on analytics and how we integrate analytics with Autodesk solutions.
We share our love of Data and how we practically apply analytics solutions to solve real challenges.
Real project examples will be discussed and demonstrations of Tableau and Splunk on the agenda
RICH: Welcome to our Analytics course. Before we get started let’s begin with introductions.
Eddy: [Introduce yourself and turn over to Renad]
RENAD: [Introduce yourself and turn over to Tim]
TIM: [Introduce yourself and turn over to Rich]
RICH: Introduce myself
RICH: As far as those in the audience, as you can see we have a mix of construction, engineering, architecture, imaging and IT representation in the room from 6 countries.
RICH
Walk through the objectives
RICH
RICH
We will cover the basics, with a blend of the “art of the possible” to inspire the group and recognize how to integrate the latest analytics tools with what’s going on in your backyard
We start by articulating some shared challenges across industries
Many organization use “best of breed” applications to support their business needs
Most applications create silioed or isolated data stores
Those data stores are larger now, more than ever
Interactive dashboards are needed to tell an “enterprise story” – identifying trends and providing a integrated visualization needed to make decisions and apply corrective actions
RICH
An integration framework can be used as a reference to help craft an integrate analytics solution
[walk though the framework layers]
Presentation – dashboards, statics and dynamic reports, mobile access and alerts
There is a transformation layer that can direct or combine data sources
Data sources can be many, including application data, financial data, project data, and data from public sources like the internet
We will use this framework later when we look at some real-life examples
RICH
As you can see there are many tools that support a number of different categories
We will dive a little deeper in the two slices highlighted; Reporting Visualization and Data Management
Leading tools in these 2 areas are Tableau and Splunk
Remember there is no right or wrong tool – these are just “hammers” – however there are tools that may be able to do a specific job better, easier, or cheaper than others.
Empower org to obtain quick wins
RICH
Tableau and Splunk are Leaders in the Visualization and Data Management domains, according to Gartner’s Magic Quadrant
RICH
[walk through advantages and disadvantages]
RICH
Now we will walk through a few real-life examples
There is a program management, enterprise dashboard, and Revit health check example
Then we will see an interactive demo of the Revit Health check
RICH
The first example is a program Management Dashboard
This dashboard was developed for a large quasi-federal organization
Executive leadership needed to know at a high level where their projects were (status and headlines) and what the current issues, risks, and testing trends looked like
RICH
The solution provided a Tableau dashboard that integrated different data sources to produce a single program-wide interactive dashboard
Visuals started simple with the current headlines and status, and dove deeper to include a high-level Gantt, Testing progress and defect trends
Design and Font size took into consideration the executive stakeholders in the room – and they appreciated it.
Additionally we were able to address questions from the executive team real-time as the dashboard was interactive and we could drill down into the data
RICH
This example addresses a need to provide a dashboard to visualize a Revit Health Check
A visualization was needed to quickly identify challenge areas and apply needed corrective actions
RICH
Many visuals and trends were developed to help the Revit Manager understand compliance to standards, number of errors and warnings, and whether file sizes were within normal parameters
Tableau was used to visualize the data contained in the Revit Application, Excel spread sheets, and other data sources to provide an integrate dashboard view
Now let’s look at the Tableau demo of this health check
RICH
Launch Tableau and walk them through the demo
Show some inner Tableau UI components
After demo, turn over to TIM
RICH
First with any analytics solution – you need data!
Tableau supports many connectors “out of the box”
You can preview and create SQL (visual) queries
You can attach “Live” or real-time or Extract the data into a local repository (better performance for larger data sets)
RICH
Dimensions – think of dimensions as the categories or main drivers of data (i.e., file names, industry, employees, etc.)
Measures – measures are more of the values, results, measurements of the data (i.e., file sizes, sales amounts, etc.)
Parameters – these are user defined and used to create calculation or define pre-set parameters that can be used to filter data or allow the user to change a view of the data
Row and Column Shelves – these areas allow the user to drag a dimension or measure to allow Tableau to create a visual representation based on the type of view selected (under Show Me)
Filters – Allows the user to filter the dataset
Marks – Allows the user to define the details of the data being displayed in the worksheet
Show Me – changes the type of data visualization.
RICH
Dashboard Selection – Available worksheets that can be included in the dashboard
Dashboard Containers – These are visual “buckets” that allow the user to design and craft the dashboard view
Dashboard Sizing – Defines the size of the dashboard
Placed Dashboard – Resting place of the placed worksheet. Many worksheets can be placed into a single dashboard. Actions can be configured to control worksheet data when the user interacts with the dashboard by clicking or hovering.
Legend or Quick Filter – legends and filters can be added to allow the user to control the data being displayed in the view.
RICH
Launch Tableau and walk them through the demo
Show some inner Tableau UI components
After demo, turn over to TIM
RENAD
Describe the project goals and outcomes
RENAD
RENAD
RENAD
- Landing page using map of Dubai
- Embedded model viewer
RENAD
RENAD
Integrate 4D and 5D
Turn back to RICH
RENAD
Launch Demo Video and walk them through the demo
After demo, turn over to TIM
TIM
TIM
TIM
RICH
RICH
RICH/TIM/RENAD
TIM/RICH/RENAD
TIM
RICH
Tableau Server allows a user to publish a dashboard to the cloud
Dashboard can be selected here – searching available by tags, recent, or favorite
RICH
This is the overview of the Revit Health Check
Used for navigation and displays a radial that immediately conveys challenge areas (in this case Revit file sizes that seem rather large and should be investigated)
The Radial can be toggled to show other dimensions of Revit Families (i.e., Size and Time to Open)
RICH
Project File Statistics provides dashboard information pertaining to File Sizes (Compact Size, File Size, Purged Size)
It also provides a trend line over time to indicate if the file sizes are increasing of decreasing
This dashboard also visualizes:
Errors and Warnings
Number of Sheets, Views, and Views not on Sheets
Time to Open and sync with Central
RICH
The Family Content view displays the number of families within each Revit file
Trends are also provided
Other views include compliance information (shown on next slide)
RICH
This portion of the dashboard include each Revit File and the number of families within each files in certain size ranges
Family content standards compliance is included in the center of each doughnut
RICH
On the Collaboration dashboard, project files are shown in a visual in relation to the number of design options
Also, the number of imported CAD and Image files are included
All of which helps the user identify areas of the project to investigate further to help improve performance.
Now I’ll turn it over to RENAD to speak about Enterprise Dashboard and provide a demo…