[ORDER SOLUTION] Business Analytics
The value and utility of the Pivot table established a foundation for the relatively simple use of analytics to gain significant business insight. This foundation was expanded in later modules to include management theory and, of course, advanced technologies and analytic techniques. In this assignment, you will synthesize these concepts as you review a small and large business enterprise, which is, and has been, a significant benefactor in the uses of analytics. Please be sure to include current references to substantiate your work.General Requirements:Use the following information to ensure successful completion of the assignment:Doctoral learners are required to use APA style for their writing assignments. The APA Style Guide is located in the Student Success Center.Refer to Chapters 2-4 of the Publication Manual of the American Psychological Association (7th ed.) for specific guidelines related to doctoral level writing. These chapters contain essential information on manuscript structure and content, clear and concise writing, and academic grammar and usage.This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistance.Directions:Write a paper (1,500-1,750 words, not including title page and references) that addresses the following. The paper should begin with an executive summary of no more than one page. Structure your paper such that individual section titles are created to address each of the following topics:IntroductionAnalytics Methods and Tools Employed in Data Analytics.Spotlight: One large enterprise usage of analytic methodsWhat methods are used? Are there quantified benefits?Spotlight: One smaller enterprise usage of analytic methodsWhat methods are used? Are there quantified benefits?Applicability of Management Theories: Do identified management theories still work or should they be extended or modified to accommodate evolving business climate characterized with extensive use of data analytics?