Network Element information Management
NEiM : GIS solution
Case Study
Telecommunications > Geomarketing
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Network Element information Management
Agenda
1. NEiM overview
2. Telecom Geomarketing case study
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Network Element information Management
1. NEiM overview
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Network Element information Management
1. NEiM overview (1/5)
Description
> Geographical Information System (GIS) (intranet mode)
> Maps (point of sales, network…) shared between users
> Geo-data analysis (coverage vs population…)
> Integrated dataset (geographical layers, population
density per square km…)
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Network Element information Management
1. NEiM overview (2/5)
Basic features
> Create/Edit map from one or multiple layer(s)
> Export data/map (CSV, KML, TAB, SHP, GIF…)
> Attach pictures/documents (JPG, GIF, PDF, DOC, XLS…)
> Search, Select, Zoom in/out, Measure distance, Print…
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Network Element information Management
1. NEiM overview (3/5)
Advanced features
> Users/Maps management : users profile, map sharing…
> Files/Database management : files upload (TAB, SHP…)...
> Create/Save/Export SQL query
> Analysis : Layers comparison, Coverage eligibility,
Coverage radius…
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Network Element information Management
1. NEiM overview (4/5)
Integrated dataset
> Icons library
> Google Maps, Open Street Maps…
> Worldwide geographical layers (administrative boundaries,
primary/secondary roads, railways, rivers…)
> (optional) Population density, Wind/Solar intensity…
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Network Element information Management
1. NEiM overview (5/5)
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Network Element information Management
2. Telecom Geomarketing case study
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Network Element information Management
2. Telecom Geomarketing case study (1/7)
Objectives
> Estimate the number and location of Base Stations
required
> Calculate the % of population covered
within a given area of study and where population density is
above a certain level.
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Network Element information Management
2. Telecom Geomarketing case study (2/7)
Area of study
> Location: Sibut (Central African Republic)
> Total population: 27,712
> Total surface: 1739 square km
Assumption: population per square km > 20
> Urban: pop per sq km > 300, coverage radius: 0,5 km
> Suburban: pop per sq km: 50-300, coverage radius: 2 km
> Rural: pop per sq km: 20-50, coverage radius: 12 km
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Network Element information Management
2. Telecom Geomarketing case study (3/7)
Requirements
> NEiM solution
> Population density (LandScan) vector layer of Sibut area
PS: LandScan integrates daytime movements and collective
travel habits into a single measure to produce a better
representation of where people are located during an
average day.
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Network Element information Management
2. Telecom Geomarketing case study (4/7)
Step 1: Locate the most populated areas
> by SQL query: population per square km > 20 (highlighted
by the green squares in figure below)
Total targeted population: 19,566
Total targeted surface: 23 square km
PS: the above numbers have been calculated by exporting
the SQL query in CSV (Excel compatible)
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Network Element information Management
2. Telecom Geomarketing case study (5/7)
Step 2: Locate the theoritical Base Stations
> by creating Base Stations in center of the targeted areas
(where population per square km > 20) (highlighted by the
blue circles in figures below)
Number of Base Stations required: 17
PS: Base Stations locations can be extracted from
the CSV export (Excel compatible)
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Network Element information Management
2. Telecom Geomarketing case study (6/7)
Step 3: Calculate the % of population covered
> by comparing 2 layers: « Population density » vs « Base
Stations »
% of population covered: 63%
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Network Element information Management
2. Telecom Geomarketing case study (7/7)
Results
> Number of Base Stations required: 17
(Location of Base Stations can be extracted from the CSV
file)
> % of population covered: 63%
Time to generate the above results
> Less than 2 hours (including manual tasks)
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Network Element information Management
THANK YOU !
contact@kalyo.com
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