As a group, you will explore an area of interest using the SOAR analytics model. The area of interest could be related to one of the personal pitches, but it does not have to be$.$ For this project, you ask the question, find appropriate data sources to address your question, analyze the data, and then report your findings to a decision$-$maker.You will take on the role of the group of analysts hired to present an analysis asking and addressing an accounting, finance, marketing, operations, supply$-$chain, or other business$-$related question that you believe will help the company address an issue. You will provide recommendations to the CEO of a business$/$organization$.$The question might relate to helping the company maximize profits, find the most profitable customers or most cost$-$effective worker, make the supply chain more efficient, market the product more effectively, andGroup Presentation $1$Content & Research$*$ Provide background and an overview Of nokia $10\%*$ Summarize key facts about the business$/$organization $*$ Describe key factors that affect the organizations performance as a profit$-$maximizing, governmental, or non$-$profit entity $*$ Describe important current events affecting the organization that might give rise to your question.$*$ Explain your role and motivation $10\%*$ What big$-$picture problem are you trying to address or solve with business analytics? $*$ Why is addressing this issue important to your organization?$*$ Specify the question $10\%*$ Which specific question$($s$)$ are you trying to answer? $*$ How will you use business analytics to answer this$/$ese question$($s$)?$ The more specific you can be with the question, the more specific your search for data and your data analysis can be$.$ When asking a question, consider whether you can gain access to appropriate data that can answer that question$*$ Obtain the data $10\%*$ Which data set$($s$)$ will you use to answer the question? $*$ Are there any issues with data quality and other data manipulations, transformations, and additional attributes you may have to develop?$*$ Analyze the data $10\%*$ How will you analyze the data? Which type$($s$)$ of analytics are most applicable to your questions? Will you use descriptive, diagnostic, predictive, prescriptive, or adaptive analytics, or some combination of them? Which specific techniques will you use? $*$ What are the main limitations of your analyses? $*$ Are you concerned about data$-$quality issues in your data set?