BEGEO - acdn.be · 4 4 About GIM Begeo 2018: finding your way in the geospatial data jungle > 20...
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Transcript of BEGEO - acdn.be · 4 4 About GIM Begeo 2018: finding your way in the geospatial data jungle > 20...
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BEGEODE ULTIEME CONNECTIE
LA CONNEXION À L'ÉTAT PUR
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From data to insights:Finding your way in the geospatial data jungle
Begeo 2018: finding your way in the geospatial data jungle
Hugues Genard
GIM
BEGEO, 24 april 2018
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About GIM - Expertise
Begeo 2018: finding your way in the geospatial data jungle
Location Intelligence
GIS &GeoICT
EarthObservation
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About GIM
Begeo 2018: finding your way in the geospatial data jungle
> 20 years of experience
> 70 Geo-experts > 750 customers
Based in Leuven & Gembloux
Quality Mindset
1995-
2018
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From paper maps to big data
Begeo 2018: finding your way in the geospatial data jungle
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How location can add value to your decisions
Begeo 2018: finding your way in the geospatial data jungle
How can I bettermatch stores & customers?
How can I bettermatch stores & customers?
Where do mycustomers live?Where do mycustomers live?
When do I need toplan additional staff?When do I need toplan additional staff?
Why do we need anadditional office? Why do we need anadditional office?
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How location can add value to your decisions
Begeo 2018: finding your way in the geospatial data jungle
Example: Locatus footfall data for retail
WHERE? WHEN? WHY?
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Finding your way in the data jungle
Begeo 2018: finding your way in the geospatial data jungle
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Finding your way in the data jungle
Begeo 2018: finding your way in the geospatial data jungle
DataFormatsData
Formats
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The pain of integrating data from different sources and formats
Begeo 2018: finding your way in the geospatial data jungle
# Sources and licenses
# Updatecycles
# Qualitylevels
Master? ResourcesProcesses
IT infrastructure
# Datamodels
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The path from data to insights
Begeo 2018: finding your way in the geospatial data jungle
Collect ProcessStrategize Analyse
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Collecting and processing data: C-level challenges
Begeo 2018: finding your way in the geospatial data jungle
36%
38%
39%
42%
42%
Having Staff who are skilled enough
Identifying the sources of data
Knowing where to find the data you're looking for
Extracting data from existing systems in a usable way
Normalizing, cleaning and transforming the data
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Collect: how to access data
Begeo 2018: finding your way in the geospatial data jungle
Live Streams, Cloud applications …
API: Data (and services) accessed through a set of customizable development tools
Download: raw data downloaded through FTP, a download link or a Data Catalogue on the provider’sinfrastructure
WebServices: data availablethrough a standard URL andlocated at the provider’sinfrastructure
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Data Processing: Spatial ETL
Begeo 2018: finding your way in the geospatial data jungle
Extract data from almost anysource, regardless of itsoriginating format and structure
Transform data into any format and structure required usingrepeatable workflows
Load data into the target system and make it availableexactly when, where and how it’sneeded
ConvertIntegrateValidateMigrate
Automate
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The Data Scientist
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Spatial ETL Demo with FME
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Use case: 5G roll-out in Belgium
Begeo 2018: finding your way in the geospatial data jungle
5. 3D Digital Land Use map
6. Radio signal clutter map
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Thank youFor your attention
DE ULTIEME CONNECTIE
LA CONNEXION À L'ÉTAT PUR
Hugues [email protected]
