We are excited to claim that Twitter data analysis do provide insights that help to pinpoint the next best place for your business to expand.
First results of our research answer the question that many customer-oriented companies face: where to locate their next store, banking office, cinema, restaurant etc. What is the more exciting news is that we have found those places and discovered vast opportunities in the cozy Singapore islands! As everyone knows Singapore is famous for its developed infrastructure. That’s great for the Singaporeans and tourists but from the other side it creates a big problem for businesses to decide on the next best place for expansion in the city. We’ve chosen the extremely difficult case to prove that there is an elegant solution for every problem! The presentation is all about it.
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