Conduct a literature review of big data analytics with business intelligence within the Fortune 1000 company you researched

BIG DATA ANALYTICS AND BUSINESS INTELLIGENCE IN A FORTUNE 1000 COMPANY LITERATURE REVIEW

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:

  1. Title Page
  2. Table of contents:
    1. Use a Microsoft Enabled Table of Contents feature.
  3. Background:
    1. 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.
  4. Research Questions:
    1. 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.
  5. Methodology:
    1. 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.
  6. Data Analysis:
    1. What were some of the findings, for example, if there were any hypotheses asked, were they supported?
  7. Conclusions:
    1. 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 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

Professor comment –

Good morning all,

I hope your discussions regarding your residency group projects are going well. Nobody has emailed me any questions or invitiations to your discussion, so I assume you’re all fully on top of it.

For this week’s topic, you’ll write about the way a business (note, that’s a single business, not businesses in general) has dealt with integrating some or all of the “Big Data” it recieves into it’s normal Business Intelligence system. One of the major mistakes I’ve seen for many semesters is writing about “Fortune 1000” as if it is an actual company. The Fortune 1000 is a list of companies, in descending order, by gross income. I’m not a super stickler for this part, but these are major corporations. Use this list or another you can find on the Internet:

Registrars of Fortune 1000 Companies – Raw Data

So, please do not write about Fortune 1000 like you’d write about Amazon or Walmart. Just follow the instructions and write about what’s assigned. Avoid too much time defining Big Data and Business Intelligence and get to the heart of the paper–what they’re doing at the company you’re writing about.

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