Big Data and Deliverables

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Presentation transcript:

Big Data and Deliverables JR Smith, CH2M MACC August 1, 2017 jr.smith@ch2m.com Big Data and Deliverables

About CH2M Employee owned 22,000 employees 3 sectors National Governments State and Local Government Private About CH2M

Contains Confidential Information Covered by NDA Global Design Network Contains Confidential Information Covered by NDA

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

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

ProjectWise Coverage Zones Denver London Hyderabad Buenos Aires Contains Confidential Information Covered by NDA

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

Replication is Project Specific Project Site List Denver Buenos Aires

Replication is User Configured and Document Specific

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

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

Big Data Workshare Works Best with Consistency Doc Codes controlled at the project level

Big Data Requires Infrastructure

Preparing Documents for Review Workflow Minimum: WIP, Reviewed, Approved PAS 1192 Versioning Preparing Documents for Review

Preparing Work Packages for Review Document list 673393 WP-45-1 Preparing Work Packages for Review

Preparing Work Packages for Review Naming and Structure Preparing Work Packages for Review

Preparing Work Packages for Review Authorization Preparing Work Packages for Review

Connecting Your Project Project Setup

Connecting Your Project Project Association

Permissions Synched with ProjectWise

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

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

Scheduling Transmittal Work Packages Create preliminary packages per plan Add/revise dates per schedule Periodical review and update dates

Preparing and Issuing Transmittals Role Content Creation Review Approve Issue Engineer/Architect/Designer   Discipline Lead Project Manager Document Control

Notifications Invitation Transmittal Notice(s) Reminder(s)

Notifications are Configurable

Create and Use Project Templates Notifications Purposes and Responses Document attributes Incoming data storage Identification Cover Sheet

Review & Respond Markup Comment Respond

Dashboards Statusing Work

Dashboards Project Activity

Extracting data

Reporting Options

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

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

Discussion