data analytics accenture

1. Data
Analysis
Report

2. Today’s Agenda
1) Project recap
2) Problem
3) The Analytics team
4) Process
5) Insights
6) Summary

3. Project
Recap
Social Buzz is a fastest growing technology
unicorn that need to adapt quickly to its global
scale.
Accenture has begun three month POC
focusing on these tasks:
• An audit of their big data.
• Recommendations for a successful IPO.
• An analysis to find Social Buzz’s top 5 most
popular categories of content.

4. Problem
• Over 1,00,000 posts per day.
• 36,500,000(3.65M) annual posts.
• Identify top 5 categories with largest
aggregate popularity.

5. The
Analytics
team
Andrew Fleming
Chief Technology Architect
Marcus Rompton
Senior Principal
Lokesh T
Data Analyst

6. Process
1
2
5
4
3
Requirements Gathering
Data Collection + Understanding
Data Cleanup + Modelling
Data Analysis
Insights Generation

7. Insights
16
Unique Categories
1897
Reaction to
Animal posts
January
Month with
Most posts

8. Top 5 Categories
Total Reaction Scores of each category
Animals
Science
Healthy
Eating
Technology
Food
74,965
71,168
69,339
68,738
66,676

9. Proportion of Total Reaction Scores
Others
64%
Animals
8%
Science
7%
Healthy Eating
7%
Technology
7%
Food
7%
.

10. Summary
The Top 5 Categories were found to be:
• Animals
• Technology
• Healthy Eating
• Science
• Food
The Food Category seems to be prominent
Create a campaign and work with healthy
eating brands to boost user engagement.
This Analysis is limited due to small
sample provided and short time frame.
We can demonstrate how to better
leverage such Big Data.

11. ANY QUESTIONS?
Thank you!