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Singapore:
Cozy Island - Vast Opportunities
by InData Labs
Our revolutionary approach enables any company
to discover vast growth opportunities when all
sweet spaces seem to be occupied. The innovative
method we provide guarantees success for every
new point of sale and limelights the secure path to
market leadership.
Roots of InData Labs research on Singapore
Retailers, bankers and other customer-oriented
businesses are constantly looking for the best
place to locate their next store/ banking office/
ATM etc.
InData Labs R&D team have conducted a research
and received amazing results.
InData Labs insights on Singapore
InData Labs R&D Lab have looked into availability of infrastructure in
Singapore and have identified the exact locations with unsatisfied
demand for:
• Supermarkets
• Convenience stores
• Bank offices
• ATMs
• Restaurants & Cafes
• What
• Where people
tweet
• When
The research is based on a deep analysis of social media data (twitter),
official statistics of Singapore and geo-location data.
• Demographic
• Economic
• Traffic &
Transportation
The research has been accelerated by our internal product
MoneyGraph
• SaaS product, which provides access to analytics of social media data on 1 bln+ of users
• Multiple social media analyzed (twitter, facebook, instagram, linkedin, Sina Weibo, etc.)
with respect to ability of one person to have accounts in many social media at the same time
• Contains information including but not limited to contacts, demographics, interests,
income estimation, and influencers
• Helps marketers take decision on who, where and when to target in order to achieve
efficient marketing campaigns
We’ve used MoneyGraph to slice and dice social data
for more accurate insights
Sentiment analysis Negative tweets zones
Trending topics Daily activity analysis
So where are these hot spots?
To identify the exact locations, InData Labs
data scientists have analyzed a vast
amount of data applying sophisticated
mathematical algorithms like:
• k-means clustering
• kernel clustering
• GIS
• semantic and sentiment analysis
Now, any retailer and banker can
identify its best place in a
second with the help of extremely user-
friendly interactive maps.
Analyse supply Analyse demand
Pinpoint next best locations3
1 2
Next best location in 3 simple steps
info@indatalabs.com
Keep in touch with InData Labs!

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Twitter Data Analysis Unveils Vast Opportunities in Singapore

  • 1. Singapore: Cozy Island - Vast Opportunities by InData Labs
  • 2. Our revolutionary approach enables any company to discover vast growth opportunities when all sweet spaces seem to be occupied. The innovative method we provide guarantees success for every new point of sale and limelights the secure path to market leadership. Roots of InData Labs research on Singapore Retailers, bankers and other customer-oriented businesses are constantly looking for the best place to locate their next store/ banking office/ ATM etc. InData Labs R&D team have conducted a research and received amazing results.
  • 3. InData Labs insights on Singapore InData Labs R&D Lab have looked into availability of infrastructure in Singapore and have identified the exact locations with unsatisfied demand for: • Supermarkets • Convenience stores • Bank offices • ATMs • Restaurants & Cafes • What • Where people tweet • When The research is based on a deep analysis of social media data (twitter), official statistics of Singapore and geo-location data. • Demographic • Economic • Traffic & Transportation
  • 4. The research has been accelerated by our internal product MoneyGraph • SaaS product, which provides access to analytics of social media data on 1 bln+ of users • Multiple social media analyzed (twitter, facebook, instagram, linkedin, Sina Weibo, etc.) with respect to ability of one person to have accounts in many social media at the same time • Contains information including but not limited to contacts, demographics, interests, income estimation, and influencers • Helps marketers take decision on who, where and when to target in order to achieve efficient marketing campaigns
  • 5. We’ve used MoneyGraph to slice and dice social data for more accurate insights Sentiment analysis Negative tweets zones Trending topics Daily activity analysis
  • 6. So where are these hot spots? To identify the exact locations, InData Labs data scientists have analyzed a vast amount of data applying sophisticated mathematical algorithms like: • k-means clustering • kernel clustering • GIS • semantic and sentiment analysis Now, any retailer and banker can identify its best place in a second with the help of extremely user- friendly interactive maps.
  • 7. Analyse supply Analyse demand Pinpoint next best locations3 1 2 Next best location in 3 simple steps