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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
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
Introductions
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
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
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
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
Who are you?
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
Forget your notebook? No problem!
After AU visit:
AutodeskUniversity.com
Click on My AU to find:
 Class Recordings
 Presentations
 Handouts
All of your sessions will be there
to enjoy again and again.
#AU2015
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
Analytics Integration Layers
Transformation and Integration
Presentation and Visualization
ReportsAnalytics and Trends Mobile
Data Sources
Application DataDatabases Other Sources
Reporting
Visualization
ETL Tools
Data
Management
& Analytics
Data
Analytics
Decision
Support
Other
(Operation,
Social Media,
Email)
Analytics Landscape
 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
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
Solution Deployments
Program
Management
Revit Health
Check
Enterprise
Dashboard
Enterprise
Dashboard Demo
 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
Program Management – “Under the hood”
Databases Big Data
Spreadshee
t Application Cloud SharePoint
 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
Revit Health Check – “Under the hood”
Databases Big Data
Spreadshee
t Application Cloud SharePoint
Tableau Basics
 Connecting to Data
 Many Native Sources: Excel, Access, MySQL, Oracle, SQL
Server
 Preview and Query Creation
 Live and Extract
Tableau Basics
Tableau Worksheets
Tableau Dashboards
Revit Health Check
Demonstration
Demo
 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
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.
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
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
Dashboard Solution Overview
Cloud
ERP ETL
OLPAP Data Warehouse
Data Sources
Data
Acquisition
Data Storage Data Analysis
Reporting &
Visualization
Enterprise Dashboard
Demonstration
Demo
 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?
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
Splunk Demonstration
Demo
 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
 Via the Survey Stations, email or mobile device.
 AU 2016 passes awarded daily!
 Give your feedback after
each session.
 Give instructors feedback
in real-time.
Be heard! Provide AU session feedback.
#AU2015
Questions?
Thank You!
Autodesk is a registered trademark of Autodesk, Inc., and/or its subsidiaries and/or affiliates in the USA and/or other countries. All other brand names, product names, or trademarks belong to their respective holders. Autodesk reserves the right to alter product and services offerings, and specifications and pricing at any time without notice, and is not
responsible for typographical or graphical errors that may appear in this document. © 2015 Autodesk, Inc. All rights reserved.
Demonstration Backup
Slides Demo
Revit Health Check – Demonstration
Demo
Project Overview
Demo
Project File Statistics
Demo
Family Content
Demo
Family Size and Standards Compliance
Demo
Collaboration
Return

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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: AutodeskUniversity.com Click on My AU to find:  Class Recordings  Presentations  Handouts All of your sessions will be there to enjoy again and again. #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
  • 31. Dashboard Solution Overview Cloud ERP ETL OLPAP Data Warehouse Data Sources Data Acquisition Data Storage Data Analysis Reporting & Visualization
  • 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.  AU 2016 passes awarded daily!  Give your feedback after each session.  Give instructors feedback in real-time. Be heard! Provide AU session feedback. #AU2015
  • 40. Autodesk is a registered trademark of Autodesk, Inc., and/or its subsidiaries and/or affiliates in the USA and/or other countries. All other brand names, product names, or trademarks belong to their respective holders. Autodesk reserves the right to alter product and services offerings, and specifications and pricing at any time without notice, and is not responsible for typographical or graphical errors that may appear in this document. © 2015 Autodesk, Inc. All rights reserved.
  • 42. Revit Health Check – Demonstration Demo
  • 46. Family Size and Standards Compliance Demo

Notas del editor

  1. 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
  2. RICH: Welcome to our Analytics course. Before we get started let’s begin with introductions.
  3. Eddy: [Introduce yourself and turn over to Renad]
  4. RENAD: [Introduce yourself and turn over to Tim]
  5. TIM: [Introduce yourself and turn over to Rich]
  6. RICH: Introduce myself
  7. 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.
  8. RICH Walk through the objectives
  9. RICH
  10. 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
  11. 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
  12. 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
  13. RICH Tableau and Splunk are Leaders in the Visualization and Data Management domains, according to Gartner’s Magic Quadrant
  14. RICH [walk through advantages and disadvantages]
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. RICH Launch Tableau and walk them through the demo Show some inner Tableau UI components After demo, turn over to TIM
  21. 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)
  22. 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.
  23. 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.
  24. RICH Launch Tableau and walk them through the demo Show some inner Tableau UI components After demo, turn over to TIM
  25. RENAD Describe the project goals and outcomes
  26. RENAD
  27. RENAD
  28. RENAD - Landing page using map of Dubai - Embedded model viewer
  29. RENAD
  30. RENAD Integrate 4D and 5D Turn back to RICH
  31. RENAD Launch Demo Video and walk them through the demo After demo, turn over to TIM
  32. TIM
  33. TIM
  34. TIM
  35. RICH
  36. RICH
  37. RICH/TIM/RENAD
  38. TIM/RICH/RENAD
  39. TIM
  40. 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
  41. 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)
  42. 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
  43. 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)
  44. 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
  45. 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…