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Exploring
Social Buzz:
AData –driven
Analysis Project
ByAccenture
Today's agenda
Project recap
Problem
The Analytics team
Process
Insights
Summary
Project
Recap
Brief info about the client’s company:
• Social Buzz is a Social media and content creation
company.
• Over the past 5 years, Social Buzz has reached over
500 million active user each month.
Why we?
• IPO Preparation Roadmap: Smoothly Navigating
the Path to public offering.
• Scaling solution for small companies: Empowering
growth through expert guidance.
• Data best practices for managing massive datasets:
Learning from corporate leaders.
Problem
• Scaling challenges:
 Rapid growth
 Strained resources
 Infrastructure complexity
• Data management challenges:
 Untructured data
 Technology requirements
 Data insight.
• IPO preparation challenges:
 Limited resources
 Lack of expertise
The
Analytics
team
Andrew Fleming
Chief Technical Architect
Marcus Rompton
Senior principle
Amirtha Radha Krishnan
DataAnalyst
Process
1
2
5
4
3
Data understanding
Data cleaning
Data modeling
Data analysis
Uncover insights
Insights
16
Unique
categories
1897
Reactions to
“Animals” post
January
Month with most posts
Summary
• ANALYSIS
Animals and Science are the two most popular categories
of content, showing that people enjoy “real-life” and
“factual” content the most.
• INSIGHT
Food is a common theme with the top 5 categories with
“Heathy Eating” ranking the highest. This may give an
indication to the audience within your user base. You
could use this insight to create a campaign and work with
healthy eating brands to boost user engagement.
• NEXT STEP
this ad-hoc analysis is insightful. But it’s time to take
this analysis into large scale production for real-time
understanding of your business. We can show you how to
do this.
ANY QUESTIONS?
Thank you!

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