Leveraging Data Integration for
Strategic GIS Governance

Meet the Presenters
Lesley MacKenzie
Director of Innovation,
Consortech
Dean Hintz
Senior Analyst, Safe
Software

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Agenda
● Intro: Data & GIS governance
● FME and its capabilities
● Using FME for Data & GIS governance
● Governance Demo
● Best practices: Integrating FME into
governance frameworks
● Real-world FME examples: Data
and GIS governance in practice
● Governance trends
● Conclusion and next steps
● Q&A

Time for a Poll…

Governance?
Why Bother?

“Governance is one of the most
important factors determining the
long-term success of a GIS”
- Matthew Lewin, Esri

Flash Demo

Dallas Fort Worth Airport: Digital Twin
Source :
DFW & Willow, Inc
dfwairport.com

GIS Governance & Data Governance
There is room in the sandbox for all the castles, but we have to agree on how to share
the sand
According to this article, data governance is the process of managing the availability, usability,
integrity and security of the data in enterprise systems, based on internal data standards and
policies that also control data usage.
GIS governance is defined as the processes and actions required to manage the planning, design,
implementation, and on-going innovative use and maintenance of Geographic Information
Systems (GIS) technology.

GIS Governance & Data Governance
How does it help us?
Building something significant in our multi-system and platform world takes
collaboration and purpose = Governance

Benefits of a GIS Governance Program

GIS Governance Framework
Source: Matthew Lewin, Esri

FME implemented as a
platform - a versatile
tool that can turn
governance policy
into action

FME®
Enterprise Integration Platform
FME Desktop
Build & Run Data Workflows
FME Server
Automate Data Workflows
FME Mobile
Deliver the Power of
FME to Mobile
The only Enterprise Integration Solution with comprehensive support for Spatial Data
Powering your dataflows on premises, in the cloud, and on mobile
FME Cloud
FME Server in the cloud

Unrivaled Data Support

Using FME for Data &
GIS governance

Demo

Metadata Change Detection and Update
The Goal
Update Feature
Service Metadata
based on local
updates
The Obstacles
Metadata is stored
in a complex
nested XML
structure - difficult
to manage
The Solution
XSD XML Reader and
XMLUpdater enable
FME to detect
changes and make
updates as needed
The Result
Feature service
metadata is
automatically
updated according
to latest metadata

Governance Demo: Detect Metadata Changes

Governance Demo: Detect Metadata Changes

Governance Demo: Detect Metadata Changes

Metadata Harvest
The Goal
Automate
extraction of
metadata directly
from database
tables
The Obstacles
Database metadata
is often out of date
or incomplete
The Solution
FME workflow that
dynamically scans
records and
geometry for
metadata
properties
The Result
Automatically
generated table
level metadata XML

Governance Demo: Metadata Harvest
Auto-extract table name, mod time, ID, category, fields and extents per table

Governance Demo: Metadata Harvest

Best practices: Integrating FME into
governance frameworks

Data Governance Plan: Components
● Standardized data structure
● Policy
○ Standards enforcement and procedures
○ Storage, backup, destruction
○ Security, distribution, handling
● Roles and responsibilities
● Data maintenance and procedures, metrics
● Training and Education
● Governing organization

FME and Data Governance: Data Management
● Upload & Update
● Processing
● Lineage
● Sharing & Distribution
● Standards
● Validation
● Reporting

FME and Data
Governance: FME Engine
● Data Fusion: span silos
● Updates: validate then load
● Standards: ISO, OGC
● Validation: geometry and
attributes
● Reporting: HTML, PDF, Logs

FME and Data Governance: FME Server
● Automation: reliability & repeatability
● Enterprise workflow integration: control workflows that span systems
● Uploads, update & process: validation before update, change tracking
● Sharing & Distribution: optimized for data sharing
● Version control: workspaces, data
● Access control: roles and permissions
● Security: standards - OAuth2
● Notifications: warning messages

How Has FME Embraced Open Standards
● Support for > 30 OGC open standards: (GML, WFS, CityGML, IMDF, CSW)
● OGC Certification for GML, Geopackage, GeoTIFF, OGC KML
● Improvements to existing formats: XSD XML, Cesium, I3S, GML 3.3
● Continual functionality and performance improvements to open standards infrastructure:
HTTPCaller, XML / GML / JSON core, security updates
● New formats: CSW, CityJSON, WMTS, OGC API Features, CityGML3
● Cloud Native formats: COG, COPC, ZARR, STAC
● New wrapper formats coming for XML, GML, JSON ( InfraGML, GeoSciML etc)
● Participation in OGC Pilots: Disaster, Climate, Maritime, Indoor

Standards: Metadata
• ISO 19115, 19139
• OGC CSW
• STAC
• Dublin core
• Esri shp.xml
• FGDC / NIEM
• EU INSPIRE
Supports data management,
quality and automation

FME and Data Governance: Validation
Validation of:
● Metadata
● Schema
● Content
● Standards conformance
Key Transformers:
● AttributeValidator, AttributeRangeMapper, DuplicateFilter,
GeometryValidator, NullAttributeMapper, Tester, XMLUpdater, XMLValidator
● Sufficient to capture gaps in data structure as well as missing fields, bad ids,
geometry etc

FME and Data Governance: IMDF Validation

FME and Data Governance: IMDF Validation

FME and Data Governance: IMDF Validation

FME and Data Governance: IMDF Validation

Real-world examples: FME in data
and GIS governance

Publishing to Open Standards for Compliance:
SOLO Matrice for Cadastral Management in Québec
The Goal
Deliver the
updated assessorʼs
data in the
provincial GML
format
The Obstacles
Constant updating
of the cadastre
City needs to
maintain their own
business structure
The Solution
FME Workspaces
automate the import
from outside sources
and automate the
export to GML
The Result
Data gets delivered
successfully to the
province

SOLO Workflow

City of Sudbury: Optimizing Road Patrol
Activities
The Goal
Monitor road patrol
activities to provide
a solid data basis
for resident claims
Leverage in house
tools
The Obstacles
Multiple audiences
in different
departments
require tools and
access to data for
their business
needs
The Solution
Full solution mix of
ESRI and FME
FME helped in both
change management
and in the final
solution
The Result
FME Automations
allow all
stakeholders to get
their data in the
required format

Validation for NextGen 9-1-1
The Goal
Maintain data in
the Next Gen 9-1-1
schema
Quality is
important
The Obstacles
Address data is
constantly
changing
Merging multiple
jurisdiction
Volume of data
The Solution
FME Workspaces
automate data
validations:
Schema
Topological
Geometry
The Result
Emergency
agencies are able
to consolidate large
amounts of
address data into
NENA

Project
33 Countries continuously contribute vast volumes of data in a diverse
array of formats and structures: Excel, Shape, Access, GML, CSV, OGC
geopackage, geodatabase
Solution
Build streamlined workflows to transform data, harvest reports and
databases, catalogue metadata, perform QA/QC, and deliver dashboards
and datasets
Results
● Office 365 integration, calendar and tasks for Administrators
● Deliver complex dataset to Tableau for BI user consumption
● Improved operational efficiency with automated data validation.
● Improved authoritative data sharing among federal departments and
agencies and increased government transparency.
European Environment Agency
Customer Story
“FME is an amazing platform
and has really changed our life.”
- Jan Bliki, EEA

European Environment Agency: Data Management
The Task
Manage INSPIRE related
data submitted from
across EU member
states.
Validate and process it
to support INSPIRE SDI
and data services
The Problem
Vast volumes of
data continuously
arrives in a diverse
array of formats
and structures:
Excel, Shape,
Access, GML, CSV,
OGC geopackage,
geodatabase
The Solution
Comprehensive
automated, ETL
based data
processing platform
Extract -> QA/QC ->
Clean -> Conform ->
Deliver
The Result
FME platform with
16 engines
processing about
11,000 jobs a day
High degree of
automation
providing a rich
array of timely data
services
Next step: ReportNet3 - moving from files to APIs
Data exchange and harvesting - e-Reporting and thematic portals

CUSTOMER STORY
PROJECT
Integrate disparate datasets from internal departments and
external sources, both globally and locally.
SOLUTION
Implemented FME within existing GIS architecture to enable
data integration, management, and automation.
RESULTS
● Automate and simplify complex workflows.
● Feed data to Tableau & ArcGIS.
● Publish data to web applications via MapBox, CartoDB &
PDF reports.
INTERNATIONAL COMMITTEE
OF THE RED CROSS
“FME Server plays an important
role in scheduling processes,
publishing data, and process
monitoring.”
- Yann Rebois, ICRC

#4 Data Cleaning
Mixed data needs to be
harmonized and cleaned.
Types of cleaning done by
FME:
• ArcSDEGridSapper
• Self-intersection
• Minimum area
• OGC tests
• ArcPy repair

Geospatial Environment

Powerlink
Project
Create a fully automated, data-driven Emergency Management system
for natural disasters.
Solution
Use FME to monitor for events and distribute reports with maps when
infrastructure is at risk.
Results
● Notifications are sent to stakeholders when emergency criteria are
met.
● Reports contain informative, layered maps in accessible formats
like PDF.
● Time spent by staff on emergency event handling has been
reduced from days to hours.
Customer Story

Mapping
Products

Emergency Spatial Journey
2019
2018
2017
2015
2011
2013
Pre 2010
Fully Automated, Data driven approach to Emergency awareness
Optimised data & information management
Expanded data access to increase reliability
Full automation of data downloads FME Server
Introduced manual reactive mapping & data retrieval & creation
No internal emergency data or Information Support
Development of FME mapping automation
Patent
Pending

Best Practices & Trends

How might your work be impacted
by ungoverned data and systems?

Lesley’s Best Practices
● Understand the different roles the platform plays
● Implement with purpose
● Integrate FME into all facets of GIS governance
● Continual improvement mindset

Governance: Trends
Good governance enables:
● Automation: standards powers data flow between systems
● Collaboration: data sharing, integrate new tools
● ROI: data management, maintenance and search efficiencies
● Risk management: data quality, legal, privacy, security
● Innovation: BIM, 3D, Digital Twins, Real time, AI, ML

Digital Twin:
San Francisco Airport
● CAD to GIS BIM to GIS workflows
● QA/QC workflows including Exterior
Data Model, Interior Data Model &
Subsurface Utilities model
● Real-time device tracking of assets
● Real-time tracking of Wag Brigade
animal locations
● Email notifications to stakeholders
● Tracking of state wildfire activity and
evacuation orders
● Convert data to IMDF & other indoor
formats support public and 3rd party
routing
● 911 Computer Aided Dispatch
● Many are not spatial workflows

Other Data
sources
ACI AGIS
Schema
IMDF
KML
Indoor
GML
Airport GIS
Data
Airport Map
Model
Read &
Transform
Read &
Write
Validate
. . .
HERE
SFO: Indoor Map Data Flow Using ACI AGIS Schema
Staging
Database

Customer Story
Project
Schiphol is Europeʼs busiest airport. Theyʼve won almost 200 awards for their
efficiency, innovation, and passenger experience.
Their goal was to become the #1 preferred airport in Europe. The vision for this
was to offer data to the public via open APIs; enable indoor mapping; and create a
digital twin of the airport.
Solution
Integrated asset and infrastructure data, enhanced it, validated it, and distributed
it across teams. Unified data across departments into a central GIS database.
Results
● Synchronized GIS database
● Open APIs available to developers
● Foundation for building digital twin (IFC)
● Indoor mapping in Apple Maps and a custom augmented reality app
Improving operations and
passenger experience to become
a top airport in Europe.
Digital Twin: Amsterdam
Airport Schiphol

Data Integration ESB Platform at Schiphol
GIS
Core-database
with Assets
and Infrastructure
information
Edit Platform
Schiphol Internal
Schiphol
Optimized
Viewing
data
Viewing Platform
Schiphol Internal
Viewing Platform
Schiphol Internal&External
Optimized
Geo Data
Realtime External
Sources
API Platform
Public
Geo
API
Wayfinding
POI’s
Maps
Routing
IFC XML via FME is the “Glue” between systems to keep data up to date and in Sync.

Schiphol Airport

Governance Trends: Lessons Learned
● Automation: standards powers data flow -> BIM
● Collaboration: data sharing, integrate new tools -> Indoor Mapping
● ROI: data management, maintenance efficiencies -> auto updates via ESB
● Risk management: data quality, legal, lineage,privacy, security -> validation
detects problems
● Organizational Risk: staff turnover / retirement, institutional knowledge, access
● Innovation: enabled by governance -> BIM, Digital Twins, Real-time, AI

Conclusion & Next Steps

Governance: Key Take-Aways
● Standardized data structure: internal standards based on external standards
smooths integration (OpenAPI, JSON, IMDF, IFC, ACI)
● Careful Policy planning to ensure:
○ Standards are followed
○ Management of full data life cycle (create, mod, destroy)
○ Data authorship lineage, security and access is controlled
○ Data Resilience
● Human aspects: roles, responsibilities, training
● Governing organizations (internal and external)
● FME helps you implement your governance policies by giving you control over
data management

You can achieve
GIS Governance in
your organization.

Next Steps
Download
FME 2022.2 &
the webinar
workspaces
Apply the
workspaces to your
own data to
manage changes
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Contact us. We
would love to chat
with you about
anything data
info@safe.com

Free Resources
Upcoming & on-
demand webinars
safe.com/webinars
eBook: Spatial Data for the
Enterprise For Dummies
fme.ly/gzc
Free 90-min Workshop:
FME Accelerator
safe.com/accelerator

GIS Governance Resources
● Blogs
○ GIS Governance 101 with FME by Consortech
○ Data Governance: The Basic Information
○ Practical Guidance Series
● Webinars & Presentations
○ Metadata Matters! What it is and How to Manage it
○ FME Governance: How to Structure the Use and Growth of FME
● Knowledge articles: FME and Metadata Creating and Validating IMDF
● Kit: FME GOVERNANCE KIT: Harness the Full Power of FME
● Study: Surveying Data Governance Policy Models

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Q&A

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Bonus slides!

#1 Simplifying
Geometry
A single SDE database is
behind:
● large scale paper
maps
● cross-border maps
● web applications
● Importing to Tableau

#2 Site Reports
Essential for safety and
security of ICRC teams
● Premises Management
web app
● PDF creation for site
reports
● Raster backgrounds from
Google or Esri services,
where available

#3 Supplying
Data to Tableau
Tableau used for real time
analysis of operations and
programs.
•Preparing spatial data for
Tableau
•Joining business data to
spatial data

#5 Integrating
Source Data
Integrating source data
from 3rd-party web
services etc.
Examples:
•Healthsite.io Free & open
healthcare location data.
•ACLED – armed conflict
location & event data.

CUSTOMER STORY
“We run a lot of Jobs.”
- Lance Bohy, USFS OCIO
PROJECT
Culminate roads data from multiple
sources for validation.
SOLUTION
Automate and scale change detection
processes.
RESULTS
● Clean, High quality, uptodate Data
● Hands off synchronization
● Facilitate the sharing/publishing of
geospatial data between partners
and business units.
US Forest Service

#6 Population
Kiosk
Reference site for population
data
Helps answers questions like:
•What populations are
negatively affected by
disease or displacement?
•In what villages have abuses
been committed or
outbreaks occurred?