Social Buzz Content Analysis

Social Buzz is a fast growing technology unicorn that need to adapt quickly to it's global scale. Accenture has begun a 3 month POC focusing on these tasks


  • Social Buzz's big data practice

  • Recommendations for a successful IPO

  • Analysis to find Social Buzz's top 5 most popular categories of content

Client name: Social Buzz

Client industry: Social media & content creation

Year established: 2010

Location of HQ: San Francisco

Number of employees: 250

  • Data understanding - understand the data model and domain

  • Data extraction - architected what an ideal dataset should look like for this problem and extracted it from the relevant data sources.

  • Data Wrangling and Cleaning - process dataset that can precisely answer the business questions and produce analytics.

  • Data Visualization - use analytical expertise to uncover insights from this dataset and to produce visualizations to describe the insights.

  • Recommendation - used these insights to unlock business decisions and to make recommendations on next steps.

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 "Healthy Eating" ranking the highest. This may give an indication to the audience within the user base. The insight could be used to create a campaign and work with healthy eating brands to boost user engagement.

NEXT STEPS

This ad-hoc analysis is insightful, but it's time to take this analysis into large scale production for real-time understanding of the business.