a different perspective on business with social data
TRANSCRIPT
A Different Perspective on Business with Social
DataFrom Social Media to Decision
Tzar C. UmangTzar Enterprises – 23o9.tech
Why Social Media?• Most of our customers are in Social Media
• Considering Philippines as Social Media Capital of the World• In FB Alone we have: 28M + users where it has an acceleration of 5 user
registrations per minute, and 52% are females• Customers freely interact, express their love and hate in social media• It is organic interaction in virtual space means higher probability of
conversion• By Demographics
• Location• Gender• Interest and etc.
Intelligence in Business• What data tells you, is your current Story and possible
Future Story
Story Intelligent Operation
Flexibility and Adaptability
Recommendation
Goals
Current Brand Status
Competitive Standing
Customer Scenarios
Production Scenarios
Social Voices• Sources:• Pages and Personal Account – “talking about this”
• Post, Shares and Twits, Comments and Replies, Likes as based on Sentiment Icons
• State of Virality and Visibility of your content• Social Enabled Feedback form on your Website
Listening• A way to collect Social Voices using• Hashtags i.e. #PogiNation• Keywords i.e. Astig Ka, Brand Name
• Methods• Scheming, where you get data from each social media accounts you have,
whether manually or by downloading a CSV or Excel file from it• Crawling, where bots, cron-job or API Based Searching and Storing process is
done.
Analytics• Methods• Pattern Analytics – Sorting out facts via activity patterns• Predictive Analytics – Sorting out facts based on standard predictable effect
caused by an activity• Stream Analytics – use of video, images or any flowing progressive data that
we get from vector dispersion, Brownian movement on pixel level and etc.• Formal Concept Analysis – formalization of concepts derived from a dataset, it
could be based on activity, numerical representation of interactions and
Data Analytics
Data Warehousing
Data Insight Data Foresight
Data Gathering
Cleansing
Standardization
Treatment using Statistical Models
Identification for Indicators
Present State Overview
Data Treatment with Predictive Analytic
ModelsProbability and
Predictive Analytics
Pattern Analysis
Formal Concept Analysis
Use Case• A movie with a Target
• XX M Pesos for the 1st week• Identify top Cities to show the
movie to secure its success on the first day
• Make sure that we show more than 1 week
What movie?Hint: It is the first movie
where the environment is purely shot in green screen
ala 300
Strategy• Focused on Social Activity • Demographic Vs. Interaction
• Location Vs. Age • Location Vs. Gender
• Location Vs. Sentiment• Sentiment is very sensitive with materials, to sustain positive interaction, our team gives
weekly recommendation on media releases based on Social Activity
Strategy• Derived from that:• Cinema for Premiere • Top 10 First Day Showing Locations• Top 10 2nd week Showing Locations
• After Compliance• Targeted XX M Pesos + on the first week• Sustained the movie to be present on the cinemas for more than 3 weeks• Pushing them to create the next movie which is Kubot