This presentation covers how; How BIM will affect us all How can we add value to BIM; who Geospatial adds value to BIM; Opportunities for blending skills

1. Data Driven Decision Making © GeoEnable
Data-Driven
Decision-Making
Steven Eglinton FBCS, FBCart.S, MIoD, MPWI
Director, GeoEnable
Chair, Asset Management SIG, AGI
Chair, Business Information Systems SG, BCS
19 June 2015
The O2 | LONDON | UK
Slide 1

2. Data Driven Decision Making © GeoEnable
Presentation title
Data-Driven Decision-Making for
Construction &
Asset Management
Slide 2

3. Data Driven Decision Making © GeoEnable
Agenda
•How BIM will affect us all
•How can we add value to BIM
•Geospatial adding value to BIM
•Opportunities for blending skills
•Summary
Slide 3

4. Data Driven Decision Making © GeoEnable
Who am I?
Information Management Specialist:
•Asset Information Management
•Building Information Modelling (BIM)
•Specialism in Infrastructure and AEC
•Extensive experience in GIS and Mapping
•Background in Agri-Environment and Rail

5. Data Driven Decision Making © GeoEnable Slide 5This slide image © GeoEnable Ltd

6. Data Driven Decision Making © GeoEnable
What is BIM?
•Depends who you ask!
•Building Information Models - things
•Building Information Modelling - tasks
•Building Information Management –
standards / process(es)
Slide 6

7. Data Driven Decision Making © GeoEnable
Building Information Modelling (BIM)
•“An integrated digital process
providing coordinated, reliable
information about a project and assets
throughout all phases, from design
through construction and into
operation”
•Better Information Management
•For all asset types – buildings and
infrastructure
Slide 7

8. Data Driven Decision Making © GeoEnable
Building Information Modelling (BIM)
•Cross-discipline collaboration
•Standard methods and procedures
•Information provision is contracted
•Digital Plan of Works (DPoW)
•Enabling tools, workflows and
validation
•Exchange formats and standards
•Information / data is a commodity
Slide 8

9. Data Driven Decision Making © GeoEnable
Information as a Commodity
•In economics, a commodity is a
marketable item produced to satisfy
wants or needs
Slide 9
•The challenge we have is the client
(employer) might not know their needs!
•The client often knows their ‘wants’
•Information Management / Governance
is often misunderstood

10. Data Driven Decision Making © GeoEnable
Information Models
Slide 10
COBie
Document
s
PIM / AIM
IFC
This slide image © GeoEnable Ltd

11. Data Driven Decision Making © GeoEnable
Answering Business Questions
Slide 11
The data is just a means to an end:
•The end is fulfilling business needs by
•…answering business questions
•…gaining insight
•…creating a ‘Common Operation Picture’
•…reducing risk
•…decreasing TOTEX costs

12. Data Driven Decision Making © GeoEnable
Asset Life Cycle
Slide 12This slide image © GeoEnable Ltd

13. Data Driven Decision Making © GeoEnable
Common Data Environment - Context
•Common Data Environment (CDE)
•Defined in UK Standards BS 1192:2007
•Elaborated on in PAS 1192-2 and PAS
1192-3
Slide 13

14. Data Driven Decision Making © GeoEnable
Common Data Environment - Data
Slide 14
• File naming convention from BS 1192-2007:

15. Data Driven Decision Making © GeoEnable
Cross-discipline collaboration
Slide 15

16. Data Driven Decision Making © GeoEnable
There is lots or jargon in any discipline
Slide 16
•We all have communicatuion challenges!
Shapefiles
Dangling segments
Link-node models
Projections
Vector
Raster
Joins and Links
Points
Polylines
Polygons
Vertices
Snapping
Buffering
GeoProcesses
Dissolve
Merge
Union
Spatial Join
Models
Dynamic segmentation
‘Plotting’ data
GeoCoding
GISGIS
Self-intersecting Polygons
Doughnut
Polygon?

17. Data Driven Decision Making © GeoEnable
Working Across Geospatial Disciplines
Slide 17
• Survey / Geomatics
• Planners
• CAD
• GIS
Disciplines should be more involved:
ICT Professionals:
• …Data specialists
• …Information Management
• …Business Intelligence

18. Data Driven Decision Making © GeoEnable
When is a Polygon a Polygon?
Slide 18This slide courtesy of Richard Bates

19. Data Driven Decision Making © GeoEnable
When is a polygon a polygon?
1.[ESRI software] In ArcGIS software, a shape defined by one or
more paths, in which a path is a series of connected segments. If a
polyline has more than one path (a multipart polyline), the paths may
either branch or be discontinuous.
1.[data models] On a map, a closed shape defined by a connected sequence of x,y
coordinate pairs, where the first and last coordinate pair are the same and all other pairs are
unique.
2.[ESRI software] In ArcGIS software, a shape defined by one or more rings, where a ring is
a path that starts and ends at the same point.
If a polygon has more than one ring, the rings may be separate from one another or they may
nest inside one another, but they may not overlap.
Polygon
The POLYGON command allows you to create regular polygons (polygons with equal sides and angles).
--Prompt: Number of sides: Type in a value for the number of sides for the polygon.
--Prompt: Edge/ <Centerof polygon>: Select the location for the polygon's center with an Absolute Coordinate, a
Relative Rectangular Coordinate,
a Relative Polar Coordinates, or an Osnap and press Enter.
Polyline (closed)
The PLINE command allows you to create "grouped" objects that can be extruded, given
line width on the screen, and can contain arc segments. Close - Connect the last segment of
a pline with the first.
Length - Draws a pline segment at the same angle as and connected to the previous segment
using a length you specify. If the last element was an Arc, the new segment is tangent to the
Arc.
< Closed shape
GIS AutoCAD / Revit
Precise shape >
Slide 19This slide courtesy of Richard Bates
The details… The details…

20. Data Driven Decision Making © GeoEnable
When is a polygon a polygon?
GIS AutoCAD / Revit
Slide 20This slide courtesy of Richard Bates

21. Data Driven Decision Making © GeoEnable
How does GIS add value to BIM?
• Persuading design teams to
utilise (at any level) what GIS
type data can bring to a project:
• Align project to World to other
coordinates system
• Provides ability to utilise:
• Sun tracking in Models
• Ground topography
• Existing buildings / asset data
• Transport and services data
• Linear assets
• Augmented reality
• Laser scans
• Rights of light
Slide 21This slide courtesy of Richard Bates

22. Data Driven Decision Making © GeoEnable
How to tackle the language challenge?
Slide 22

23. Data Driven Decision Making © GeoEnable
Think ‘Atomic data’
Slide 23
Periodic Table of Data for CAD
Periodic Table of Data for GIS Periodic Table of Data for Survey
Periodic Table for Data for
Construction Supply Chain
Periodic Table of Data for AECPeriodic Table of Data for Rail Sector
Periodic Table of Data for Civil Engineering
Periodic Table
of Data for…
your sector

24. Data Driven Decision Making © GeoEnable
The big challenge is communication
Slide 24
•Between systems
•Between data formats
•Between organisations
•Between disciplines
•Between different roles
How are your
cross-discipline
communication
skills?

25. Data Driven Decision Making © GeoEnable
Commons Languages – One is Location
Slide 25
•Location provides context to data
•Location provides patterns, trends & gaps
•Maps are easier to understand
• ‘Placed-based’ planning is understood
• Proximity can connect people / Orgs
• Services Delivery depends on Location
•See opportunities to consolidate/augment
services

26. Data Driven Decision Making © GeoEnable
6 Major Opportunities / Challenges
1.Personal experience and expectation
2.Standards for data interoperability
3.We have demonstrated benefits
4.We need ‘cross-discipline dictionaries’ for
collaboration to truly work
5.We are already blending skills – do more!
6.Location is a common language for all
disciplines
Slide 26

27. Data Driven Decision Making © GeoEnable
Thank You
Steven Eglinton
BSc (Hons), FBCS, FBCart.S, MIoD, MPWI
Director, GeoEnable
For more information please go to:

28. Data Driven Decision Making © GeoEnable
Build International
Read BIM Articles from Steven at:
build-international.com