Managing Big Data By Tableau
This report is divided into two parts: Part A and Part B. The first section focuses on the impact of big data analytics (BDA) on business operations and organizational performance, with a particular emphasis on its significance for Netflix and the best implementation strategies in the entertainment industry. In this part delves into the importance of BDA in enhancing business efficiency and profitability, and how its successful adoption can help organizations stay ahead of the competition.
The second part of the report examines the dataset(s) related to online business in the USA and explores the relationships between various features. The Business Intelligence tool, Tableau, is employed to provide pictorial data views and deep insights into the data. Through the analysis process, Tableau identified issues of declining sales and profits in certain states and proposed possible reasons and solutions for these issues. This section of the report provides a comprehensive overview of the current state of online businesses in the USA, particularly in the context of the entertainment industry.
Overall, this report presents a professional analysis of the significance of BDA in enhancing business operations and organizational performance, as well as the use of Tableau as a powerful tool for data visualization and analysis. It is intended for professionals in the field of business analytics and online business management, as well as anyone interested in understanding the impact of BDA on the entertainment industry and online businesses in the USA.
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Written by
Md Junayed Hossain
Md Junayed Hossain
I am a passionate and motivated data analyst with a master’s degree in financial technology and a bachelor’s degree in computer science and engineering. I have over two years of experience in finance and customer service, as well as various academic and professional projects that demonstrate my skills and knowledge in data analysis, data visualization, machine learning, web development, and financial reporting. I am proficient in Python, SQL, Tableau, Power BI, Excel, and other tools and languages for data science. I am also a team player, a leader, and a lifelong learner who is always eager to take on new challenges and solve complex problems with data. I am currently looking for opportunities to apply my skills and passion for data analysis in the fintech industry.