NEiM CaseStudy Telecom Geomarketing

8/10/2019 NEiM CaseStudy Telecom Geomarketing

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Network Element informationManagement

NEiM : GIS solution

Case Study

Telecommunications > Geomarketing


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1. NEiM overview

2. Telecom Geomarketing case study

Agenda


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1. NEiM overvie


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!escri"tion

> Geographical In ormation !ystem "GI!# "intranet mode#

> Maps "point o sales$ network%# shared &etween users

> Geo'data analysis "coverage vs population%#

> Integrated dataset "geographical layers$ population densityper s(uare km%#

1. NEiM overvie #1$%&


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'asic (eatures

> )reate*Edit map rom one or multiple layer"s#

> E+port data*map ")!,$ -M $ T/0$ ! $ GI3%#

> /ttach pictures*documents "4 G$ GI3$ 53$ 56)$ 7 !%#

> !earch$ !elect$ 8oom in*out$ Measure distance$ rint%

1. NEiM overvie #)$%&


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Advanced (eatures

> 9sers*Maps management : users pro ile$ map sharing%

> 3iles*5ata&ase management : iles upload "T/0$ ! %#...

> )reate*!ave*E+port !; (uery

> /nalysis : ayers comparison$ )overage eligi&ility$)overage radius%

1. NEiM overvie #*$%&


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Integrated dataset

> Icons li&rary

> Google Maps$ 6pen !treet Maps%

>


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1. NEiM overvie #%$%&


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). Telecom Geomarketing case study


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,- ectives> Estimate the num&er and location o 0ase !tationsre(uired

> )alculate the = o population covered

within a given area o study and where population density isa&ove a certain level.

). Telecom Geomarketing case study #1$/&


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Area o( study> ocation: Si-ut #Central A(rican 0e"u-lic&> Total population: )/ /1)

> Total sur ace: 1/*2 s3uare km

Assum"tion: "o"ulation "er s3uare km > )4> 9r&an: pop per s( km > ??$ coverage radius: ?$@ km> !u&ur&an: pop per s( km: @?' ??$ coverage radius: 2 km> Aural: pop per s( km: 2?'@?$ coverage radius: 12 km

). Telecom Geomarketing case study #)$/&


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0e3uirements> NEiM solution> opulation density " and!can# vector layer o !i&ut area

!: and!can integrates daytime movements and collectivetravel ha&its into a single measure to produce a &etterrepresentation o where people are located during anaverage day.

). Telecom Geomarketing case study #*$/&


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Ste" 1: 5ocate t6e most "o"ulated areas> &y !; (uery: population per s(uare km > 2? "highlighted&y the green s(uares in igure &elow#

Total targeted population: 12 %77Total targeted sur ace: )* s3uare km

!: the a&ove num&ers have &een calculated &y e+portingthe !; (uery in )!, "E+cel compati&le#

). Telecom Geomarketing case study #+$/&


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Ste" ): 5ocate t6e t6eoritical 'ase Stations> &y creating 0ase !tations in center o the targeted areas"where population per s(uare km > 2?# "highlighted &y the

&lue circles in igures &elow#

Num&er o 0ase !tations re(uired: 1/

!: 0ase !tations locations can &e e+tracted romthe )!, e+port "E+cel compati&le#

). Telecom Geomarketing case study #%$/&


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Ste" *: Calculate t6e 8 o( "o"ulation covered> &y comparing 2 layers: B opulation density C vs B 0ase!tations C

= o population covered: 7*8

). Telecom Geomarketing case study #7$/&


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0esults> Num&er o 0ase !tations re(uired: 1/" ocation o 0ase !tations can &e e+tracted rom the )!,

ile#> = o population covered: 7*8

Time to generate t6e a-ove results> 5ess t6an ) 6ours "including manual tasks#

). Telecom Geomarketing case study #/$/&


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NEiM CaseStudy Telecom Geomarketing