Big Data Analytics and Business Intelligence in a Fortune 1000 Company Literature Review (submission in Week 4) We have discussed how businesses have integrated Big Data Analytics with their Business Intelligence to gain dominance within their respective industry.  Search the UC Library and/or Google Scholar for a "Fortune 1000" company that has been successful in this integration.  Conduct a literature review of big data analytics with business intelligence within the Fortune 1000 company you researched. In your literature review, you will include details about the Fortune 1000 company you researched, including its approach to big data analytics with business intelligence, what they are doing right, what they are doing wrong, and how they can improve to be more successful in the implementation and maintenance of big data analytics with business intelligence. You are to review the literature on Big Data Analytics and business intelligence for the Fortune 1000 company. Discuss problems and gaps that have been identified in the literature. You will expand on the issue and how researchers have attempted to examine that issue by collecting data – you are NOT collecting data, just reporting on how researchers did their collection. Paper Layout: Title Page Table of contents: Use a Microsoft Enabled Table of Contents feature. Background: Describe the Fortune 1000 company, discuss the problem, and elaborate on their big data analytics and business intelligence approaches. Be sure to include what they are doing right and what they are doing wrong. Research Questions: For our topic of big data analytics and business intelligence, what were the research questions that were asked? Be sure to include main research questions from all the literature you are reviewing. Methodology: What approach did the researcher use, qualitative, quantitative, survey, case study? Describe the population that was chosen. You will discuss the methodology for all the literature you are reviewing. Data Analysis: What were some of the findings, for example, if there were any hypotheses asked, were they supported? Conclusions: What was the conclusion of any data collections, e.g., were research questions answered, were hypotheses supported? Be sure to also include how the Fortune 1000 company can improve to be more successful in the implementation and maintenance of big data analytics with business intelligence. Ertug, Gruber, M., Nyberg, A., & Steensma, H. K. (2018). From the Editors—A Brief Primer on Data Visualization Opportunities in Management Research. Academy of Management Journal, 61(5), 1613–1625.Ozgur, Colliau, T., Rogers, G., & Hughes, Z. (2021). MatLab vs. Python vs. R. Journal of Data Science, 15(3), 355–372. Elhoseny, Kabir Hassan, M., & Pejic-Bach, M. (2020). Special Issue on “Cognitive Big Data Analytics for Intelligent Information Systems.” Information Systems and e-Business Management, 18(4), 485–486. Jin, & Kim, H.-J. (2018). Integrated Understanding of Big Data, Big Data Analysis, and Business Intelligence: A Case Study of Logistics. Sustainability (Basel, Switzerland), 10(10), 3778–. Sun, Z., Sun, L., & Strang, K. (2018). Big data analytics services for enhancing business intelligence. Journal of Computer Information Systems, 58(2), 162-169.

Use leadership concepts to systematically evaluate your leadership and your relationship with your followers. Specifically, think about a time when you were in a leadership position and when you had to influence others. For example, you can talk about a situation that happened in school (e.g., group project, school event) or outside of school (e.g., summer jobs, internships, volunteer work). Address and evaluate your leadership behaviors/style and your relationship with your followers.