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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
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
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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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