This document provides instructions for conducting a literature review on big data analytics and business intelligence implementation within a Fortune 1000 company. Specifically, it outlines that the literature review should: 1) Describe a selected Fortune 1000 company, their current approaches to big data analytics and business intelligence, what they are doing well and areas for improvement. 2) Discuss the research questions, methodology, data analysis, and conclusions presented in the literature regarding big data analytics and business intelligence implementation at this company. 3) Make recommendations for how the company can better implement and maintain big data analytics and business intelligence based on gaps and issues identified in the literature.

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33. Literature Review: Big Data Analytics and Business Intelligence in a Fortune 1000
CompanyBusinesses have integrated Big Data Analytics with their Business Intelligence to
gain dominance within their respective industry. Search the 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

2. 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.Paper requirements:Be a
minimum of 7 pages in length, not including the required cover page, table of contents and
reference pages.Follow APA 7 guidelines. Be sure to conduct research on formatting
literature reviews.Your literature review should include a minimum of 8 scholarly peer-
reviewed journal articles. The UC Library is a great place to find resources.Be clear and
well-written, concise, and logical, using excellent grammar and style techniques. You are
being graded in part on the quality of your writing. You can use Grammarly for help with
your grammar and spelling.