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Spatial Master Data Management
Dennis F. Beck, PEPresident/CEO
Topics
• Introductions– SBS– Master Data Management
• FME and Spatially Enabled Master Data Management
• Examples
• Getting started
• Value Proposition
About SBSDelivering the power of spatial information
Proprietary and Confidential
Utilities Telecommunications Government
Lakewood, CO Melbourne, AU
Integration Data Solutions Strategic Consulting
What is Master Data Management?
• An architectural approach that supports consistent, common and uniform data management across an enterprise
• A non-trivial effort to implement across a large, complex enterprise
• The spatial dimension adds even more complexity
• Perhaps best described as a “single version of truth” (or a single reference point)
Why MDM? (Customer Domain Example)
• Multiple internal systems manage customer data– Accounting– CRM– Call center– Marketing
• Common problems can occur– Sending “new customer” offers to existing customers– Payment issues, multiple accounts– Ultimately, dissatisfied customers and lost opportunities
Utility Asset Management ExampleNumerous, disparate islands of data created during the asset lifecycle
Initiate Plan Schedule Execute Close
CAD GIS OMSWork Mgmt. Accounting InspectionRecords
Others
Operate
Transportation Data Management ExampleMultiple systems that all use spatial information
Vegetation
Right-of-Way
Asset Management
ManagedMaintenance
Environmental Planning
UtilityOperations
Spatial Master Data Management Drivers
• Legacy GIS “center-of-universe” environments– Extensive point-to-point interfaces– Data models based on legacy product constraints– Expensive upgrades
• Duplicate data entry• Data integrity issues• Lack of flexibility
• Limited functionality• Not positioned for advanced applications, analytics and
the proliferation of IoT-based assets
Proprietary and Confidential
Conceptual Spatial MDM Architecture
GIS
CAD
Others
Asset Management
Planning
Operations
Reporting
Analytics
Mobile
Spatial Data Sources Enterprise Applications
Validation
Operational Data Store
Data Integration
Transformation
Spatial MDM Solution Elements
• Software components– Safe Software FME– Data Transformation Framework – Data Validation Framework– Operational Datastore
• Consulting / services expertise– Strategic consulting– Data analysis– Implementation expertise
FME
Transformation
Strategy
ODS Validation
Implementation
Analysis
FME Plays a Key Role in Spatial MDM
• Advanced data transformation– Canonical model support– Attribute modification / feature merging and splitting– De-duplication (conflation)– Relationship generation– Network data model migration
• Difference management / interoperability
• Format support
• Validation
Data Transformation: Synchronization
• Geometric fidelity between platforms– e.g. Bezier curves, NURBs and polylines
• Two-way transformations– Advanced object configurations between different models
• Advanced topology support– To/from vs node/link and extended network models– Foundation for a network model of truth
Data Transformation: Internals
Substation cartographic plan (GIS)
Floor plan (CAD)
Schematic representation (DMS)
Proprietary and Confidential
Data Transformation – Network Model
• Network-based organizations (e.g. utilities, pipeline, telecoms and DOT) have multiple consumers of network information
• Network modelling approach varies between systems– Link / Node models – To/From models– Linear referencing
• Requires establishing common “network model of truth”– Common, comprehensive network model– Potentially requires inter-network transitions
• Opens up opportunities for network tracing to be a service
Proprietary and Confidential
Data Validation: Example Cases
• The validation framework supports overall data integrity for the ODS broad categories include:– Intra-facility validation examples
• Attribute values in prescribed range• Attribute combinations• Relationship keys• Geometric definitions• Connectivity
– Inter-Facility validation examples• Attribute look-up• Parent-child evaluation• Trace validation• Peer relationship validation
Proprietary and Confidential
Data Integration via Job Management
• Different spatial systems enforce varying levels of control over data– Influenced by product / tools and implementation approach– Culture can also be a major factor– This can cause pervasive data management challenges if not
properly addressed• The Job Manager is a mechanism to provide controlled
data stewardship• Can be considered user-assisted data integration• Works in conjunction with the data validation framework
Proprietary and Confidential
Job Management Overview
• Playback mechanism for external projects
• Flags validation errors for GIS data steward
• Goals of job management– Ensure valid data is entered
into the system– Minimize redrawing of data
• Particularly important for CAD-based data
Data Integration: Global IDs
21
• Global IDs provide an enterprise-wide identification system that spans across specific products
• The Global ID serves as a look-up, linking the different source features
• FME can be used as the notification framework during the data synchronization process
Spatial MDM Architecture
Spatial MDM Architecture – ODS
Spatial MDM Example (1)
• 5 million customer US electric utility• Existing Smallworld, Autodesk and Esri environments• High profile business issues impacting safety, reliability and
compliance• Key Activities
– Strategic consulting to address data management and conversion approaches– Implementation of FME Server and SBS software framework– Population of conversion and production databases– Data validation framework
• Key Benefits: Enabling source of new applications and interfaces– Mobile– Web– Distribution Management – Common Network Model from generation source to the customer
Proprietary and Confidential
Spatial MDM Example (2)
• 7 million customer combined electric and gas utility• Existing Smallworld, Bentley, Autodesk, Esri and IBM Maximo
environments. • Issues related to data integration, duplication and system upgrades• Key Activities
– Consulting to address process integration issues and define future state architecture
– Design and implementation of spatial data store– Population and validation of data store via use of FME server– Job Manager integration framework underway– New round of data consolidation underway
• Key Benefits: Application and interface enablement– Mobile– Web– Vegetation management– Integration to streamline asset management processes
Proprietary and Confidential
Spatial MDM: Smart Cities
• Local governments all over the world• Wide variety of existing data sources. • Issues related to data integration, duplication and
validation• Key Activities
– Delivering data for third parties– Data analysis for policy making
• Key Benefits: Application and interface enablement– Mobile– Web– Integration to streamline city management processes
Image Source: http://www.districtoffuture.eu/
Proprietary and Confidential
Spatial MDM: Asset Analytics
Proprietary and Confidential
Asset Analytic Case Studies
Asset intensive industries leverage master data management for strategic analysis
Getting Started with Spatial MDM
• Establish a vision– Yes, MDM is about the data, but… – It’s really about the business
• Managing growth• Streamlining processes• Optimizing investments• Reducing costs…
• Turn the vision into a roadmap– Keep it strategic – And measurable
Getting Started (2)
• Solve a practical, visible problem– Don’t try to do everything at once– Don’t overinflate
• Remember, MDM is not a product. It requires:– People– Processes– Technologies– Expertise– Change management– Governance– And more…
Getting Started (3)
• Define your architecture, knowing it may evolve
• Engage senior stakeholders along the way– They will retain interest when they see the opportunities
• Include MDM initiatives in the multi-year budgeting process
• Keep it flexible – things will change– FME can help with this
Why FME is Critical to Your MDM Efforts
• Robust support for spatial information • Rich library of tools• Flexible, customizable environment• Highly cost-effective relative to many commercially
available MDM solutions
Proprietary and Confidential
Spatial MDM Value Proposition
Flexible ArchitectureTo respond and deploy faster
Streamlined Workflows Improved Productivity
Platform for Advanced Applications
Reduce Custom Applications
Improved Financial Performance
For Further Information…
• Please contact us with further questions, or about how to get started in the following areas: – Strategic planning
– Consultancy
– Training
– Implementation
Questions / Discussion
