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Reducing implementation and maintenance costs through INSPIRE as a Service Thorsten Reitz, wetransform GmbH 04.10.2016 Inspire conference 2016, Barcelona
Reducing implementation and maintenance costs through INSPIRE as a Service
Thorsten Reitz, wetransform GmbH
04.10.2016 Inspire conference 2016, Barcelona
www.wetransform.to
About Us
04.10.2016 Inspire conference 2016, Barcelona#2
Thorsten ReitzFounder/CEOPreviously:Lead Product Engineer, Esri R&D Center ZurichDepartment Head GEO, Fraunhofer IGD
wetransform GmbHFraunhoferstr. 564283 DarmstadtTel. +49 (6151) 155-408
Company Offerings:
Software as a Service Solutions for agile standardisation (hale connect) and spatial data infrastructures (inspire gis)
Professional support and consulting for data harmonisation with hale studio
Research Data Management
We support INSPIRE since 2006.
www.wetransform.to
What will we address in this talk?
1. What are the main cost driversbehind providing INSPIRE services?
2. Are INSPIRE services moreexpensive to provide than othertypes of spatial data services?
3. How can we reduce the cost ofINSPIRE services to make themmuch more accessible?
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What about the Benefits?
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1. Not in scope of this talk
2. Most research found thatbenefits „vastly outweight costs“
3. Benefits occur in the future, costs occur now
4. Often, Benefits don‘t occurwhere the costs occur
5. A common view is that INSPIRE implementation is complicatedand thus expensive, which hinders adoption
32.1
66.1
Costs Benefits
Source: ECORYS Nederlands, INSPIRE Cost BenefitsAnalysis, 2009
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Cost DriversMethodologyRegulatory RequirementsService TypesService Deployment Models
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Methodology
1. Collect real-world INSPIRE/SDI implementation cost data points— Publicly available reports 11 data points— Internal and external projects 48 data points— Tendering data bases 51 data points— Other cost studies 3 data points— Survey 14 data points
2. Normalize information to a baseline scenario for comparison1. Functional normalization (linear)2. Data size normalization (fitting function)3. Time normalization (linear)
Note: Data is sparse, interpolation not very reliable
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The Data
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The Baseline Scenario
— One-time costs— Licensing— Initial implementation/customisation/configuration,
deployment and systems integration— Data harmonisation and integration
— Recurring costs (for four years)— Licenses, Subscriptions— Hosting (ISO27001 or higher compliance, EU only)— Application Management— Application Maintenance (Keeping up with source/target environment changes)
— Data volume and interfaces:— 100 data sets @ 50MB, bandwidth 10GB/month— Published via WMS, WMTS, Predefined Dataset Download Service, Direct Access Download
Service (Basic WFS and Transactional WFS)
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Normalized Costs Distribution
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Low cost, medium-sized projects are most efficientLittle gains through large projectsSmall projects all over the place
€-
€50,000.00
€100,000.00
€150,000.00
€200,000.00
€250,000.00
€300,000.00
€350,000.00
€400,000.00
0.0010 0.0100 0.1000 1.0000
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Cost Factors: Category
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Note: For Harmonisation, Integration and Deployment, insufficient data is available.
Commercial License Open Source License
One-time License
16%
License Maintenance
10%
Implementation14%
Customisation1%
Configuration0%
Hosting17%
Management21%
Maintenance21%
Implementation33%
Customisation5%
Configuration11%
Hosting15%
Management18%
Maintenance18%
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Cost Factors: License Type
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Commercial License Open Source
Note: Removal of two outliers reduces the factor to 2.8.
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Cost Factors: Download Service Type
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Atom WFS-B WFS-T
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Cost Factors: Hosting and Operations Model
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Note: There are only four confirmed Software as a Service projects.
0.0015
On-Premise IaaS PaaS
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Cost Factors: INSPIRE or not?
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Not significant at all!
1 1.03
0
0.2
0.4
0.6
0.8
1
1.2
INSPIRE Other
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Cost Reduction PotentialsService Deployment Models
Service Types
Shared Software Maintenance
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Service Deployment Models
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- Move to SaaS/PaaS hashighest overall costreduction potential
- SaaS/PaaS data protectionregulations and security canbe problematic
- Compliant hosting is >3x expensive as basic hosting
- INSPIRE data is meant to bepublished!
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Service Types
— Main potential in WFS-T implementation as SaaS— https://github.com/georocket/georocket
— Example potential for a Transformation Service SaaS:
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0 0.2 0.4 0.6 0.8 1 1.2
Dedicated Root Server
Sloppy.io Container Service
Amazon Lambda
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Shared Software Implementation and Maintenance
High percentage of GI systems is custom-built or heavily customised
Approach 1: Open Source Tools
- Data indicates Open Source to be effective for INSPIRE implementation
- Concentrate resources on core projects
Approach 2: Commercial Products
- Allows more attractive business models, leads to more investment
- Higher investment enables better User Experience
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OutlookProvider and Consumer Markets
INSPIRE as a Service
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Phases in the INSPIRE Data Provider Market
Early Adoption Phase
Experimental Phase
Hot Adoption Phase
Late Adoption Phase
MaintenancePhase
20142010 2020 20222012 2016 2018 2024
2%
Mar
ket
Size
10M€
200M€
10% 40% 40%
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Phases in the INSPIRE Data Consumer Market
Early Adoption Phase
Experimental Phase
Hot Adoption Phase
20142010 2020 20222012 2016 2018 2024
1%
Mar
ket
Size
10M€
500M€
5% 50%
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The Platform
www.wetransform.to04.10.2016#23 Geospatial World Forum 2016, Rotterdam
— Software as a Servcicesolution to fulfill INSPIRE obligations
— Complies with INSPIRE Performance rules, European Data ProtectionGuidelines and ISO 27001
— Constantly updated withnew INSPIRE versions
— Metadata integration andpublishing
— Highly Cost Effective
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Contact us!
+49 6151 155 408
www.wetransform.to
www.linkedin.com/company/wetransform-gmbhhttps://twitter.com/tr_xsdi
04.10.2016 Pitch Deck#24
