1. Tiger Analytics provides advanced data analytics solutions and consulting services using machine learning and statistical modeling. 2. They have domain expertise in retail, marketing, transportation, real estate, and other industries. Their services include social media analytics, customer profiling, forecasting, pricing and promotion optimization. 3. Their methodology involves assessing the current data landscape, building analytical models, determining optimal scenarios, and deploying solutions with client training.

1. Text analytics on social media

2. Social Media Landscape
957
1,176
1,403
1,633
1,827
2010 2011 2012 2013 2014
Social media has redefined the way people interact…and in the process
has created new avenues beyond traditional marketing
1 in every 5 minutes on the internet is spend on social media2
340 million tweets generated daily3
26% of time within mobile apps is spent on social networking4
1 www.emarketer.com
2 Comscore, Dec 2012
Social Media Users1, Global
Millions
3 Flurry Analytics, Dec 5 2012
4 www.emarketer.com
14% growth

3. Unstructured data poses a challenge to targeted marketing
How do I know who is my engaged
audience?
How do I determine my audience’s
interests, based on social media
feeds?
How do I analyze what my audience
is talking about my products and
brand?

4. 1 Who is my engaged audience?
2 What interests my audience? (Text analysis)
3 What is my audience talking about my brand? (Text analysis)

5. Engaged audience profiles: Demographics
1Facebook data
Age Distribution1Gender Distribution1
Females Males
iPhone 5 48% 52%
Galaxy S4 52% 48%
Blackberry 10 48% 52%
Gender distribution of fans is similar for all three mobile devices. Surprisingly
though, Blackberry 10 devices (64% ) are more liked by younger (13 to 30 years)
people versus iPhone 5 (57%) and Galaxy S4 (55%)
Case Study: Samsung S4
24% 25% 26%
33% 30%
38%
19%
14%
16%
12%
13%
9%
7%
10%
5%
5% 7% 5%
iPhone5 Galaxy S4 Blackberry 10
13 to 20 20 to 30 30 to 40 40 to 50 50 to 60 60+

6. 1 Who is my engaged audience?
2 What interests my audience? (Text analysis)
3 What is my audience talking about my brand? (Text analysis)

7. Levels of Text Analysis
Word cloud
Shows the most
frequently occurring
hashtags and words
Word Association
Indicates the context in
which the most frequent
words occur
Topic Modeling
Finds the TOPICS of
Twitter conversation
down to the smallest
details

8. What interests your audience: Word Cloud
Larger font-size implies higher frequency
S4 fans on twitter talk about Google, Apple and Microsoft products.

9. Windows 8.1 Blue
iPhone
Google Glass
Nokia Lumia
Products
News/ blogs
Mashable article “YouTube Maps Out Videos
Trending Across U.S”
“U.S. Financial Regulator Considering Setting
Rules for Bitcoin”
Mashable article “Syria Disappears From the
Internet Again”
What interests your audience: deep dive
The products of interest are mostly new phones and Gadgets. The
news of interest is mostly tech related

10. 1 Who is my engaged audience?
2 What interests my audience? (Text analysis)
3 What is my audience talking about my brand? (Text analysis)

11. What is your audience talking about your brand:Word Association
In this graph, words that occur together frequently are connected.
Each cluster roughly corresponds to a topic

12. Galaxy
16 GB
Internal
Storage
….
….
Galaxy
Core
Taste
Supermassive
….
….
Galaxy
Strategy
Apple
Hammer
….
….
Galaxy
Crack
Interior
Redesign
….
….
Tweets
Each bag of words corresponds to a topic
Machine
Learning
Algorithm
What is your audience talking about your brand: Topic Modeling

13. Overarching Theme:
Blogs/articles about Samsung
A Mashable article on
Samsung Galaxy Core:
“Samsung Galaxy Core
Gives Just a Taste of the
S4”
A CNN article on Samsung’s ad
strategy:
“Samsung's New Galaxy S4 Ad
Strategy Is Same as the Old
Strategy: Hammer Apple”
A CNET article on Samsung
S4 interior:
Samsung Galaxy S4
teardown: Redesigned
interior, easy to crack
open
What is your audience talking about your brand: deep dive
Most of the interest in the online community on Twitter is focused
on articles on product features and comparison with competitor or
previous Samsung products
An article on NDTV
Gadgets:
“Samsung explains why
16GB Galaxy S4 has only
8.82GB internal storage”

14. Audience profiles… Audience interests… Audience talk…
Engaged audience are
predominantly below 40
years of age and have
an even gender
distribution
Bringing it all together…
Engaged audience are
primarily interested in
gadgets and popular
social media websites
Engaged audience are
talking about recent
tech news and
products
The theme of the admin tweets corresponds roughly to the interests of the
engaged audience, leading to good engagement.
Tweets from the brand page(admin tweets)Tweets of engaged customers

15. Tiger Analytics
Advanced Data Analytics Solutions and Consulting

16. About Tiger Analytics
Who we are
• Trained in Operations
Research, Statistics and
Marketing
• Deep understanding of data
modelling
• Machine learning
Data Scientists
• Retail merchandising
• Online marketing
• Transportation
• Real Estate Analytics
Business Domain
• Experience in end-to-end
customized analytical solutions
• Expertise in
Python, R, SAS, Java, C++, SQ
L etc.
Computer Engineers
• Published articles in academic
journals, patents
• Industry and academic
conference presentations
Research

17. Our Clients and Business Partners

18. Our Domain Experience
Sensor Data
Analysis
Forecasting
Markdown
Optimization
Campaign
Analytics
Budget (Bid)
Optimization
User
Profiling
Retail & CPG Social Media and Marketing Real Estate, Transportation
& Energy
Pricing
Optimization
Survival
Analysis
Inventory
Planning
Promotion Planning
Ad Inventory
Forecasting
Display ad
analytics
Real Estate
Analytics
Rental
pricing
Smart Meters
Analysis

19. Social Media & Interactive Marketing Solutions
Retail Customer
Retailer
Offer Testing
Competitive Engagement
Tiger Analytics can provide proven customized social media marketing data
insights and solutions to increase promotional returns on your digital ad spend.

20. Our Methodology
High Level Current State
Data Assessment (2 to 4 weeks)
Model Building and Data Analysis
(4 to 6 weeks)
Determine Optimal Scenarios
(3 to 4 weeks)
Solution Deployment and Training
(2 to 4 weeks)

21. More information
• Website - www.TigerAnalytics.com
• Case studies - http://www.tigeranalytics.com/case-studies.html
• Offices
• San Jose, CA
• Raleigh, NC
• Chennai, India
• Contact us - info@tigeranalytics.com | 1-408-508-4430