The value of applying data analytics

 

This is a conclusion for a project. attached is what I have wrote so far withe the pdf file that has the content I wrote about.

The final project for this course is the creation of a data analytics project proposal that addresses an issue or opportunity from the scenario and data set(s) you chose in Module One that leverages data analytics, evaluates the current use of data, and highlights recommended tools with the ultimate goal of improving business value. For this milestone, submit the conclusion portion of the final project (Part III). Be sure that you are addressing how the proposal will benefit the organization. Specifically, the following critical elements must be addressed: III. Conclusion

A. Value: Determine the value of applying data analytics to this company or business based on your analysis of the value of the initiative you proposed. In other words, describe the benefit of using data analytics to meet the goals, needs, or opportunities of your company, and derive actionable insight.

B. Insights: Communicate the insights you gained from your analysis of the initiative, the data, and the data analytic tools and technology you explored with management. How are these insights potentially beneficial to the company, the industry, and the company’s future? How are they beneficial to your future as an analytics professional?

Sample Solution

The value of applying data analytics

Data analytics refers to the process of examining datasets to draw conclusions about the information they contain. Data analytic techniques enable you to take raw data and uncover patterns to extract valuable insights from it. Data analysis can help companies better understand their customers, evaluate their advertising campaigns, personalize content, create content strategies and develop products. Ultimately, businesses can use data analytics to boost business performance and improve their bottom line. Amazon has thrived by adopting an “everything under one roof” model. However, when faced with such a huge range of options, customers can often feel overwhelmed. They effectively become data-rich, with tons of options, but insight-poor, with little idea about what would be the best purchasing decision for them. To combat this, Amazon uses Big Data gathered from customers while they browse to build and fine-tune its recommendation engine. The more Amazon knows about you, the better it can predict what you want to buy.

This study focuses on the overall performance of two companies pre merger and post merger. The analysis of the performance of the company before and after the merger enables us to draw a conclusion whether the merger has been favourable to the company or not. Mergers and Acquisitions are a topic of global significance nowadays. Mergers and Acquisitions have become a common corporate strategy in the recent past enabling the organizations to achieve synergy benefit and sustainable development. They are spoken about so much all over the globe in recent times. These Mergers and Acquisitions are not of a recent origin but have been in practice since 18th century. This project gives an insight on Mergers and Acquisitions (M&A) through a comparative study on the pre merger and post merger analysis of Arcelor and Mittal Steel from a finance perspective. Mittal Steel merged its operations with Arcelor in 2006 and it was regarded as the biggest merger in the world steel industry. For the purpose of our study we have considered Mittal Steel’s acquisition of Arcelor and have made the pre merger and post merger analysis of the same to arrive at conclusions. The objective of this study is to arrive at a conclusion whether the merger has been successful or not in terms of both profit as well as wealth maximization. This study will take into consideration the merger of Arcelor and Mittal Steel and analyse their performances before and after the merger and decide whether they have been able to achieve success after the merger and also whether the companies have been able to achieve synergy benefit which is one of the primary reasons for a merger to take place. This study also analyses the success of the merger in terms of market share and the capacity utilization. This project has made use of secondary data and the facts and figures are reliable to the best of our knowledge. The various financial techniques used in this study are trend analysis, ratio analysis, cash flow statement and fund flow statement. The conclusions of this study cannot be used to generalize regarding the fate of Mergers and Acquisitions. This study strongly recommends further research on this topic in the

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