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Social Buzz is a media company who want:
- They are looking to complete an IPO by the end of next year and need guidance to ensure that this goes smoothly.
- They are still a small company and do not have the resources to manage the scale that they are currently at. They could hire more people, but they want an experienced practice to help instead.
- They want to learn data best practices from a large corporation. Due to the nature of their business, they have a massive amount of data so they are keen on
Social Buzz wants us to provide Big Data insights and content category analysis on the data they have provided.
There is a lot of information here and it’s easy to get lost in the data. So, to make sure we are using the right data to answer the business questions we’ll follow these steps: • Requirements gathering - • Data cleaning • Data modelling
The client wanted to see “An analysis of their content categories showing the top 5 categories with the largest popularity”. The end result is in the ‘Clean_Dataset & Top 5 Content.csv’ spreadsheet which contains:
- A cleaned dataset
- The top 5 categories
We’ll need to communicate the relevant insights in a way that is clear, concise and engaging for our client and team members. This will involve bringing the data to life using visualizations tools like Power BI to create a interactive report "Social Buzz Power_BI_Report.pbix" . We have created a powerpoint presentation "Data Analytics and Data Insights- Task 3_final.pptx" for Social Buzz that reports on their content performance.
We have created a powerpoint presentation "Data Analytics and Data Insights- Task 3_final.pptx" for Social Buzz that reports on their content performance. Explaining about the top categories and sentiment and reaction for the contents.