gis in business1

8/6/2019 Gis in Business1

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GIS IN BUSINESS

VENKATESAN.C

II SEM M.TECH(REMOTE SENSING)

RS9122 GIS APPLICATIONS


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Case study 1

An Integrated approach for Banking

GIS

Mohammad Jafrullah

Infotech Enterprises Ltd. Hyderabad


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Outline

Business Objectives of Banks

How GIS can Help Banks Market Analysis

Business Expansion Planning

Bank Asset Management

Retail banking services

Integrated Approach for GIS


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BusinessObjectives of a Bank

Expansion of Customer base

Improvement in Quality of the Services Increased Customer Satisfaction

Consistent Business Growth

Increase in Profitability Retaining the Customers


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Market Analysis Customer Analysis

where are our customers located?

What are their characteristics (market

segmentation, classification of residential areas)? which are the areas not served ?

Analyze Market Trends

Competitor Analysis

where are our competitors located? Where are their customers ?

Reason for existing performance ?

Focused Marketing

What are the products and the areas they are wellreceived ?


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Analyse RetailMarkettrends

Analyse Retail

market trendsacross various

branch's Does

Land use/

Income groups

matters ???


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Business Expansion Planning New Branch / New ATM Location

Cost-effective site analysis to select a new bankbranch/ATM location

Key elements-Concentration of commercial areas, trafficpatterns, workplaces or homes of customers

Branch Performance Monitoring Defining a trade area around the branch,

measuring the market potential within that trade area,

identifying the nearby competitors. Decision support for Strategic Planning

What if scenarios provide the means to determine theeffects of

branch closures

relocations


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BankAssetM

anagement To operate, maintain, and upgrade Bank's

physical assets cost-effectively.

Regular inspection for condition assessment

infrastructure asset condition

Return of Investment and Asset Performance


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Retailbankingservices Online tracking of Cash status in ATMs

Real Time solution for the replenishment and

management of ATMs provides highly effective

approach to the cash management cycle Auto detect component provides real time data in

order to optimize the servicing of ATMs,

GIS based solution displays the ATMs on the map

along with the cash status to help in bettervisualization and better optimization in Cash

distribution


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Branch Performance

Monitoring

This Branch

performance is going

down quarter by

quarter, Any Spatial

Implications ???


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Branch Performance

Monitoring

Relocate

Branch

Under Served

Area


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Cashvan Fleetmanagement

Cash Van Fleet management for Cashdistribution

Scheduling and planning of routes for cash vans and atthe same time ensuring that the Cash vans run as per theschedule and disburses the cash at ATMs in time.

More Security for Cash vans by linking to Central officesusing Fleet management systems


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Customer care / help Lines

Customer calls to Help Line

asking where is the Nearest

ATM

(Very common when we are new places)

Person at Help desk can

identify customer location

based nearest landmarks

and can guide him to nearestATM Location


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Integrated Approach

Fleet

Managementsystem

E ansi n

lanning

system

Cust mer

Relati n shi

Management

an ing

ystem

Mar eting

Analysis

system

ERP

ATM Cash

Distributi n

ystemIntegrated GI

Database


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Casestudy

GIS for RuralMarketing

Author: Suruchi Raina/Vijay Amanna

[email protected]

[email protected]

Genesys International Corporation Limited,

SEEPZ, Mumbai 96


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Requirement Analysis Planning for maximum coverage of area.

Identifying uncovered markets and locating them,

Designing route plans, based on available roadinformation and demographics on these markets,

Planning optimum routes for delivery to wholesale/retail outlets and product promotional

campaigns. Addressing congregation like haat, mela, mandi

along with normal route plan.


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LinCompassLinCompassis designed as a modular

application. Modules are based on threebroad requirements


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MARKET ANALYSIS

Identification of potentialmarket -

Prioritization ofdistrict

Drillingdownto the places ofvisit -

Analysisbyquery

Composite query

Buffer query


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Map showing Villages within 1 km from a

State Highway identified by using buffer

query


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ROUTE PLANNING Example of a typical route plan:

The required route should cover villages of population lessthan 4000, and each day it should visit three villages thatshould have either a haat day or a primary school or

primary health center. The total travel distance should notexceed 60 Km and the distance between two villagesshould be less than 15 Km.

Duration of route cycle = 25 days

District to be covered = Lucknow

Tahsil to be covered = Malihabad& Lucknow


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Features of Route Design Module

a) Route plan calculator

b) Route Plans

i) Stockist optionii) Linear & Circular Route option

iii) Continuous and with break Plan selection

iv) Automatic & Manual Route options

v) Night-halt selection

vi) Route plan for covering Mela Mandivii) Route plan along Highway

viii) Combination of any of the above


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Runtime attachment and

detachment ofdata

Relational Database Management

System(RDBMS) has been used for

database maintained

The application attaches and detaches data

automatically on run time as per the user

selections, which reduces time consumptionwhile performing queries.


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Reportsgeneration LinCompassautomatically generates

reports of all route details along with the

other required information.

This is created in the .dbf format

The application provides the option to

export to excel.


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Map displaying circular route plan along

with the generated detailed report


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DATABASE FOR LINCOMPASS

APPLICATION

Map data

Tabular data Census data from International Institute of Population Science

(IIPS), Census Department of respective states,

Land Record Department,

Road Department, etc.

Congregation data giving information on the various melas andmandis held at various places.

The entire database has been linked to the relevant map featuresthrough unique identification numbers.

Database creation and development of application took about6 months of time with a team of 35.


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CONC

LUSION Application is fast and simple to use

Implementation of this made identification

of potential markets in the targeted

population is much easier.


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Case study 2Identifyingthe Relationship Between Area

Characteristicsby SocialClass and Bank

BranchesDistributionusing GISCase Study of Tokyo 23 Wards

YoungJoo Lee, Hiromichi Fukui

KeioU

niversity, JapanEndo5322, Fujisawa, Kanagawa, 252-8520, Japan

[email protected] , [email protected]


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Methodology

firststage

market segmentation by factor analysis & cluster analysis

using socioeconomic variables related to social level.

used 2000 census data, NSC2001& high-income taxpayer list forsocioeconomic data.

secondstage

distribution characteristic of existing branches -overlay analysis withresult of segmentation.

used point data of branches of five major banks made by addressmatching process

base map of Tokyo 23 wards divided into 3058 towns.

used SPSS11.5 and JMP5.0 for statistical analysis

ArcGIS8.0 for spatial analysis to identify the relationship between areacharacteristics by social class and distribution characteristic of existingbank branches in Tokyo23 wards.


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Factor Analysis

population density, age(20s, 30s, 40s,50s, 60s), gender, households,

residence types (aged-households, marriedcouple, have a children, single)

ownership (home ownership, rent a house)

education, job, employment, income, high-tax payer, consumer

purchasing power


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38 variables attributing to 9 factors

Factor1(purchasing power),

Factor2 (social position),

Factor3 (residence type),

Factor 4 (the rich),

Factor 5 (the elderly),

Factor 6 (thirty-something),

Factor 7 (the fifties vs. the twenties),

Factor 8(employment and ownership),

Factor 9 (the forties)


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Cluster Analysis

Hierarchical cluster analysis using the Ward method

Group1 (the elderly & life style stability),

Group4 (30s & life style stability), Group5 (the noble class),

Group6 (instability of life),

Group7 (lifestyle stability),

Group8 (spending power),

Group9 (wealth).

Groups 2 and 3 are removed from this result because ofoutliers.


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Fig shows the number of towns contained

by each clusters of 23 wards.

Setagayaku, which is located in the west of

Tokyo (Fig 1.)is the wealthiest area in

Tokyo because, 65.8% of the towns in

Setagayaku contained to Group 5(HighClass).


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Result of Bank Branches

Distributions


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The graph of the relationship between area

characteristic and branch distribution


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Conclusions andDiscussions

A lot of branches of five major banks are

located in Group5 (high class). And,although the order is different, most ofbranches in five major banks are located in

Group1 (the elderly & life style stability),

Group8 (spending power), and

Group6(instability of life ).


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