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Accenture North America Data Analytics and Visualization

Tools used in this project
Accenture North America Data Analytics and Visualization

About this project

INTRODUCTION

Social Buzz is a fast-growing technology unicorn that is quickly adapting to its global scale. In order to stay ahead of the competition, Social Buzz needs to be able to make data-driven decisions. This report will use data analysis to assess the company’s social media presence and identify areas for improvement.

DATA ANALYSIS

I was tasked with assessing Social Buzz’s social media presence and identifying areas for improvement. I analyzed data using various sources, including the company’s website, social media accounts, and search engine results.

The analysis focused on the following metrics:

  • Social media engagement: I measured the level of engagement that Social Buzz’s social media posts receive by counting the number of likes, shares, and comments that posts receive. I also calculated the engagement rate: the percentage of social media followers engaging with the company’s posts.
  • Website traffic: I measured the number of visitors that Social Buzz’s website receives by counting the number of unique visitors and the number of page views. I also calculated the bounce rate: the percentage of visitors who leave the website after viewing only one page.
  • Search engine ranking: I measured the position of Social Buzz’s website in search engine results pages (SERPs) by checking the website’s status on the first page of SERPs for relevant keywords. I also calculated the click-through rate: the percentage of people who click on a link to Social Buzz’s website after seeing it in a search engine result.

RESULT

The data analysis revealed that Social Buzz’s social media presence is vital. The company’s social media posts receive a high level of engagement, and its website gets a significant amount of traffic. However, Social Buzz’s search engine ranking could be more substantial. The company’s website appears on a different page than the first page of SERPs for many relevant keywords.

CONCLUSION

The data analysis shows that Social Buzz has a strong social media presence, but its search engine ranking could be improved. In order to improve its search engine ranking, Social Buzz should focus on optimizing its website for relevant keywords. The company should also create more content that is likely to be shared on social media.

RECOMMENDATION

Based on the data analysis, I recommend the following:

  • Optimize the website for relevant keywords. This will help Social Buzz’s website appear higher in SERPs for relevant keywords.
  • Create more content that is likely to be shared on social media. This will help Social Buzz increase engagement on its social media channels.
  • Track the results of the changes and make adjustments as needed. It is important to track the results of the changes and make adjustments as needed. This will help Social Buzz ensure that it is making progress towards its goals.

Link to PowerPoint Presentation accenture-internship-on-data-analyst/Social Buzz Presentation.pptx at main · Remyproject/accenture-internship-on-data-analyst (github.com)

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