Uploaded by Ngoc Mai Duong

Data Analytics template - Task 3 final

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Social Buzz
Today's agenda
Project recap
Problem
The Analytics team
Process
Insights
Summary
Project Recap
Social Buzz is a social platform where people can post
contents and react to them anonymously. Accenture
are carrying out a 3 months project to help them:
• Audit their big data practice
• Recommend a successful IPO
• Analyze their data to find the top 5 most popular
content categories
Problem
• Over the past 5 years, Social Buzz has reached
more than 500 millions of users per month.
• Everyday, around 100,000 contents including
texts, images, videos, GIFs are posted.
• However, how to handle everything when it’s
too much?
• Accenture will help to find Social Buzz’s 5
most popular content categories.
Andrew Fleming
Chief Technical Architect
The Analytics
team
Marcus Rompton
Senior Principle
Melanie Duong
Data Analyst
1
Process
Data Understanding
2
Data Cleaning
3
Data Modeling
4
Data Analysis
5
Get Insights
Insights
There are 16 unique
content categories in
total.
The most popular content
is about animals with
1897 reactions
January is the month
with most posts
Top 5 Categories by Aggregate Score
76000
74000
72000
70000
68000
66000
64000
62000
Animals
science
healthy eating
technology
food
POPULARITY PERCENTAGE BY TOP 5
CATEGORIES
Animals
science
healthy eating
19%
technology
21%
20%
20%
20%
food
ANALYSIS:
Animals is the most popular content
with 74965 scores. In the second and
third places are Science and Eating
Healthy.
Summary
INSIGHTS:
According to the analysis above, the
company can work on campaign
about animals or collaborate with
healthy eating brands to get people’s
attention.
NEXT STEP:
We will help you to apply this analysis
to a larger scale as well as
understand your business better.
Thank you!
ANY QUESTIONS?
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