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Data Analytics.

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[Audio] We have been working on a Data Analytics project for a few months now. This project aimed to tackle a problem that affects many parts of the organization. To do this we put together a specialized team of Data Analysts who set out to identify the most suitable solutions. We analyzed data created models and tested those models to refine our knowledge and understanding of the issue and decide on the best course. Later we can discuss this process in greater detail..

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[Audio] We have had the chance to gain a better comprehension of Social Buzz's data analytics practices. We explored how they use large data to gain understanding and make decisions. Additionally we delved into how they can guarantee a successful IPO. Moreover we examined the top 5 content categories on Social Buzz. All of these activities are to help Social Buzz establish itself as a leader in the tech domain..

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[Audio] As the customer base and volume of posts grow it is essential to comprehend the data. To do this we must figure out the necessary requirements for the project. This involves combining tables from the sample data set and analyzing the content categories to recognize the five most popular ones. With the help of data analytics we can gain a better insight of the customer and provide them better support..

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[Audio] Our data analytics team comprises of experts with immense experience who are devoted to uncovering valuable insights from our data. Fusing their industry expertise with technical know-how they are devoted to providing insights to direct the business to success. From devising machine learning models to evaluating how data can be utilized in creative and contemporary ways the analytics team will put forth their best endeavors to bring out the best outcomes..

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[Audio] It is essential to understand the data before making any decisions regarding a Data Analytics presentation. Once this is done the data must be cleaned up and appropriate models created in order to enable a more in-depth analysis. This preparation will make the data analysis process much more successful..

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[Audio] This slide provides an overview of our data analytics process focusing on the insights we have gained. It reveals that over 75000 posts were made in May listing several unique categories with animals having the highest score. The month with the most posts was also May..

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[Audio] Animals had the highest aggregated score of 74 965 followed by Science with 71 168 Healthy Eating with 69 339 Technology with 68 738 and Food scored 66 676..

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[Audio] The chart shows that the popularity of the top 5 categories is fairly balanced. Animals Science Healthy Eating Technology and Food all get a sizable portion of the overall score. This indicates that people are interested in a variety of topics..

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[Audio] Data analysis reveals that Animals and Science are two of the most popular categories on our platform. It appears that people are particularly engaged by real-life and factual content. Taking this into account we can create more content in these areas and consider running campaigns targeting healthy eating which is one of the top five topics in order to boost user engagement..

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[Audio] I appreciate your time and attention in listening to this presentation on data analytics. The information presented may have been useful and helpful to you. Should you have any queries please feel free to reach out to me. Thank you..