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Big Data and Deliverables
JR Smith, CH2M MACC August 1, 2017 Big Data and Deliverables
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About CH2M Employee owned 22,000 employees 3 sectors
National Governments State and Local Government Private About CH2M
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Contains Confidential Information Covered by NDA
Global Design Network Contains Confidential Information Covered by NDA
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Toolsets Used Autodesk Revit, C3D, AutoCAD, Navisworks, InfraWorks
Bentley AECOSIM, OpenRoads, MicroStation, OpenPlant, Navigator, ProjectWise Intergraph CADWORX, SmartPlant Suite ESRI About 550 total applications supported Toolsets Used
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Organizational Objectives
Streamline global workshare Maximize efficiency Simplify Consolidate to common toolsets Common standards and processes Common/connected data environment Includes interoperability for cross platform/blended projects Innovate using a coordinated approach Organizational Objectives
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ProjectWise Coverage Zones
Denver London Hyderabad Buenos Aires Contains Confidential Information Covered by NDA
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Big Data Involves Connecting Multiple Locations
London Data source A Data source B Data source B Data source C Data source B Data source D Denver Data source A Data source C Data source A Data source D Hyderabad Data source C Data source D Buenos Aires
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Replication is Project Specific
Project Site List Denver Buenos Aires
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Replication is User Configured and Document Specific
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Enablers for Replication to Succeed
Replicated Supporting infrastructure Common folder structure required to enable seamless replication User training Trying to work in files marked as “copies” Deliverables must be consolidated for work packaging Consolidated
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Big Data Workshare Works Best when there is Consistency
Standard Environment Standard interfaces and views CAD title block – attribute exchange Specifications – spec preparation Project/Construction Manager – documents tied to construction activities Doc Control – preparation for work packaging Replication – used to configure document replication Doc Code – used for place holder document Big Data Workshare Works Best when there is Consistency
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Big Data Workshare Works Best with Consistency
Doc Codes controlled at the project level
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Big Data Requires Infrastructure
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Preparing Documents for Review
Workflow Minimum: WIP, Reviewed, Approved PAS 1192 Versioning Preparing Documents for Review
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Preparing Work Packages for Review
Document list WP-45-1 Preparing Work Packages for Review
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Preparing Work Packages for Review
Naming and Structure Preparing Work Packages for Review
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Preparing Work Packages for Review
Authorization Preparing Work Packages for Review
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Connecting Your Project Project Setup
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Connecting Your Project Project Association
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Permissions Synched with ProjectWise
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Permissions External PW user has no access Externals added to portal
Added Doc Control roles Doc Control Creator Doc Control Approver Doc Control Admin Global Admin External PW user has no access Externals added to portal
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Recommendations for Working with External Parties
Identify doc control lead at each organization Maintain an external web site with instructions Send getting started instructions Point people to the help file Recommendations for Working with External Parties
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Scheduling Transmittal Work Packages
Create preliminary packages per plan Add/revise dates per schedule Periodical review and update dates
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Preparing and Issuing Transmittals
Role Content Creation Review Approve Issue Engineer/Architect/Designer Discipline Lead Project Manager Document Control
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Notifications Invitation Transmittal Notice(s) Reminder(s)
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Notifications are Configurable
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Create and Use Project Templates
Notifications Purposes and Responses Document attributes Incoming data storage Identification Cover Sheet
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Review & Respond Markup Comment Respond
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Dashboards Statusing Work
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Dashboards Project Activity
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Extracting data
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Reporting Options
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Cloud Hosting Assists Big Data Projects
Solves storage and local performance issues immediately Enables hosting of related application databases for workshare Long term, may solve multi-site issues Cloud Hosting Assists Big Data Projects
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With proper oversight, ProjectWise handles big design and construction data
Simplify for success Consistent use of standards is critical to enable big data Deliverables Management is a key component for project delivery Reporting is essential for monitoring The cloud makes things better (in the future) Conclusion
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Discussion
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