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Insight Valley Asia 2013 | May 16 & 17 | Bangkok, Thailand | www.insightvalley.com
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Insight Valley Asia 2013 | May 16 & 17 | Bangkok, Thailand | www.insightvalley.com
Thank you to our sponsor & partners!
Gold Sponsor
Supported by
Organised by
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Jean-Yves Fargeat
Senior Solution Consultant at CPIT Co., Ltd.
LOCATION BASED
INTELLIGENCE
Solutions for business
insights
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AGENDA
• Introduction
• What is Location Intelligence?
• LI Benefits for Sales and Marketing
• What about privacy?
• Use cases
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INTRODUCTION
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GALIGEO
COMPANY OVERVIEW
Awards :
• SAG Award in 2009
• ESRI Corporate Foundation
Partner of the year 2007
• Awarded for outstanding growth
achievement by Paris Region
• IBM Smarter Commerce Award
for Innovative Solutions
More than 50 000 users of Galigeo Location Intelligence
Solutions
• Bank & Insurance
• Health
• Local Governments
• Retail
• Safety & Security
• Telecoms
• Transportation
• Utilities & Energy – Smart Grid
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WHAT IS LOCATION
INTELLIGENCE?
5
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LOCATION, LOCATION, LOCATION
Ray Kroc, founder of the McDonald’s
restaurant chain:
“ I’m not in the hamburger
business. My business is
real estate. ”
“ …real estate and its
location is the most
significant factor in the
success of each
franchise.”
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BELOW THE TIP OF THE ICEBERG
Traditional data representation (tables, charts, graphs,…) can’t tell you everything.
Why are these 3
regions
underperforming?
Competitor
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LOCATION INTELLIGENCE CONCEPT
LI allows to visualize business data, geo data and market data in the
same time from the same view.
Who ?
Why ?
How much ?
What ?
When ?
Where ?
Traditional analytics
Maps
POIs
Satellite views …
GEO DATA
ERP
CRM
Business Intelligence
Accounting
BUSINESS DATA
Market survey results
Government statistics
(population, revenue, ..)
Competitor data
MARKET DATA
Location Intelligence
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UNDERSTAND AND ACT
BI can display data on maps, LI allows you to take actions with Bi-directional BI-GIS.
Record data Export selected data
Launch information and
marketing campaign
Business Intelligence
Prospects
Store Manager
BI + LI
Senior Manager
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BENEFITS FOR SALES AND
MARKETING
• Plan, survey, compare and select the location with the best potential
• Manage sales territory, sales force distribution and support customer visit.
• Understand your business environment, launch localized marketing campaigns
and monitor the result to improve your strategy.
• Two ways interaction between you and your customers .
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WHAT ABOUT PRIVACY?
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ARE WE TRACKED?
A few example of sources of personal location information:
“Traditional”:
• ATM Withdrawal Banks
• Payment with credit or loyalty card Banks and Seller
• Online Purchase Seller, ISP, Webhosts,…
• Online Browsing/Search Search engines, affiliated sites, …
“Mobile”:
• Placing a call Network Operator
• Roaming across the network Network Operator
• Geo-enabled apps App provider (FB, Google, Apple,..)
Location Data Collection is nothing new
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IT’S ALL ABOUT TRUST
Location Based Intelligence changes the perception customers have of their privacy.
To ensure the best customer experience, and long-lasting business it is necessary to
build a relation of trust.
Transparency:
Customers should know clearly what is collected, how it can be used, and have a
way to opt-out and take back this data.
Accountability:
Only neutral third parties (government, non-profit, businesses) can reassure the
customers of the companies’ commitment to transparency.
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USE CASES
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GEOMARKETING USE CASE: RETAIL
Campaign 1: brochures for
Large Volumes
Distributed in the trade
areas with direct
communication access to
shops
Results
35% of return
improved from
<10% usually
European retail chain with 100 supermarkets
Campaign 2: brochures and ads in specific
areas
Target 1: retain inactive Gold customers
Target 2: reactivate customers less active than
before Results
30% of customers return
Reduce campaign cost
Increase campaign response
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SITE SELECTION USE CASE: RETAIL
International retail chain with 1500 supermarkets
Step 1: Site Study Selection
Multi Factor Analysis by management
team to pre-select interesting sites.
Pre-selection sent immediately to on-site
teams.
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SITE SELECTION USE CASE: RETAIL
Before:
Treams need to cross-analyse
manually multiple data sources
Save time and money spent on site study
Get the best performance from stores from the start
After:
All info accessible from 1 map => from
study to planning
Step 2: Site Survey
Teams report directly from mobile device about their
findings:
• Local competitors (location, size, …)
• Ease of access
• Trade area
• ….
Data is available in real time, removing the need of
report collection and input like before.
Tablet
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SALES OPTIMIZATION: PHARMA
Multinational Pharmaceutical Laboratory. Top 20 BioPharma
Challenges: Highly competitive environment with big spending on sales force
Step 1: Potential analysis and Team Management
• Assess which area have the best potential
according to multiple and complex factors
• Assign effectively each areas to a sales
team.
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SALES OPTIMIZATION: PHARMA
Optimize sales effort (time, distance, visit efficiency…)
Get real-time data to and from sales
Step 2: Customer Visit Optimization
Mobile application with real-time data:
• Potential Analysis Data
• Agenda
• Historical Data
• On-the-spot reporting
• Route calculation
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THANKS!
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Insight Valley Asia 2013 | May 16 & 17 | Bangkok, Thailand | www.insightvalley.com
Thank you to our sponsor & partners!
Gold Sponsor
Supported by
Organised by
![Page 24: Location Based Intelligence - Solutions for Business Insights - CPIT](https://reader033.vdocument.in/reader033/viewer/2022042815/55855e99d8b42a4c298b4688/html5/thumbnails/24.jpg)
Insight Valley Asia 2013 | May 16 & 17 | Bangkok, Thailand | www.insightvalley.com