1. Insight Valley Asia 2013 | May 16 & 17 | Bangkok, Thailand | www.insightvalley.com

2. Insight Valley Asia 2013 | May 16 & 17 | Bangkok, Thailand | www.insightvalley.com
Thank you to our sponsor & partners!
Gold Sponsor
Supported by
Organised by

3. Jean-Yves Fargeat
Senior Solution Consultant at CPIT Co., Ltd.
LOCATION BASED
INTELLIGENCE
Solutions for business
insights

4. AGENDA
• Introduction
• What is Location Intelligence?
• LI Benefits for Sales and Marketing
• What about privacy?
• Use cases

5. INTRODUCTION

6. 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

7. WHAT IS LOCATION
INTELLIGENCE?
5

8. 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.”

9. BELOW THE TIP OF THE ICEBERG
Traditional data representation (tables, charts, graphs,…) can’t tell you everything.
Why are these 3
regions
underperforming?
Competitor

10. 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

11. 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

12. 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 .

13. WHAT ABOUT PRIVACY?

14. 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

15. 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.

16. USE CASES

17. 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

18. 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.

19. 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

20. 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.

21. 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

22. THANKS!

23. Insight Valley Asia 2013 | May 16 & 17 | Bangkok, Thailand | www.insightvalley.com
Thank you to our sponsor & partners!
Gold Sponsor
Supported by
Organised by

24. Insight Valley Asia 2013 | May 16 & 17 | Bangkok, Thailand | www.insightvalley.com