Big Data Analytics in Logistic Companies

Big Data Analytics in Logistic Companies

Order Custom Essay

In the last few years, the growth in market adoption of big data technologies for the purpose of data sources analytics has grown significantly. There are many reasons why companies are doing this. However the main reason is because of the potential value that great data amounts from internal and external sources can generate. For example, on-line click-stream and social media data can be analyzed to enrich existing customer insight significantly. By automatically
analyzing sensor data in real-time, problems in manufacturing production lines and distribution chains can be detected or predicted and action taken to continually keep them optimized. Today we can see a significant change in how companies are satisfying these new data driven requirements. They are increasingly shifting from using traditional,
IT-centric platforms to more decentralized data discovery deployments that are now spreading across the enterprise. Therefore, following aspects should be dealt within the master thesis:

Big Data Analytics in Logistic Companies

Order Custom Essay

1. For which typical processes and tasks in the logistics sector big data analytics can be used win memory processing and online click The investigations may be conducted seamlessly? What effects thus can be
achieved for business?
2. How Big data analytics can be a value driver for a company?
3. Challenges, opportunities & practical implications – What challenges and needs are linked with the use
of big data analytics with regard to hardware and software systems of the companies?
4. Brief description of industry wide used Big data tools (eg: SAP HANA, IBM Watson, etc.,) and modules that are used in companies and their purposes and what tasks can be done and also what conventional tasks can
be replaced by them. And also explanation of new technologies like in-memory processing & computing and online click stream tracking and processing also should be discussed in the start.

One or more self-chosen companies where logistics processes play an essential role or examples for each case as well. Even a well-presented case study to demonstrate the practical implications on the subject is
possible.

Big Data Analytics in Logistic Companies

Order Custom Essay

The following text in description needs to be changed: Therefore, following aspects should be dealt within the master thesis:
1. For which typical processes and tasks in the logistics sector big data analytics can be used wisely? What effects thus can be achieved for business?

I have just put down this extra information than attached document, for the body of thesis like what is expected by my professors for your reference below:
DOCUMENT BODY
The text of the thesis must contain the following elements, presented to conform to the standards and expectations of the relevant academic discipline. In some cases, the ordering of these ingredients may differ from the one shown here.
A. Introduction.
The thesis must clearly state its theme, hypotheses and/or goals (sometimes called “the research question(s)”), and provide sufficient background information to enable a non-specialist scholar to understand them. It must contain a thorough review of relevant literature, perhaps in a separate chapter.

Big Data Analytics in Logistic Companies

Order Custom Essay

B. Research/Scholarship Chapters:
The account of the scholarly work should be presented in a manner suitable for the field. It should be complete, systematic, and sufficiently detailed to enable a reader to understand how the data were gathered and analyzed, and how to apply similar methods in another study. Notation and formatting must be consistent throughout the thesis, including units of measure, abbreviations, and the numbering scheme for tables, figures, footnotes, and citations. One or more chapters may consist of material published (or submitted for publication) elsewhere, or other artifacts (e.g., film, application-oriented documents) placed in a scholarly context. See “Including Published Material in a Thesis or Dissertation” for additional details.

C. Conclusion.

In this section the student must demonstrate his/her mastery of the field and describe the work’s overall contribution to the broader discipline in context. A strong conclusion includes the following:
-Conclusions regarding the goals or hypotheses presented in the Introduction,
-Reflective analysis of the scholarly work and its conclusions considering current knowledge in the field,
-Comments on strengths and limitations of the research/scholarship,
-Discussion of any potential applications of the findings, and

Big Data Analytics in Logistic Companies

Order Custom Essay

-A description of possible future research directions, drawing on the work reported.
-A submission’s success in addressing the expectations above is appropriately judged by experts in the relevant discipline. Students should rely on their research supervisors and committee members for guidance. Doctoral students should also take into account the expectations articulated in the University’s “Instructions for Preparing the External Examiner’s Report”.
BIBLIOGRAPHY (MANDATORY):
There must be only one Bibliography or References section for the whole thesis.

APPENDICES:
Appendices must be limited to supporting material genuinely subsidiary to the main argument of the work. They must only include material that is referred to in the document.

Material suitable for inclusion in appendices includes the following:
-Additional details of methodology and/or data
-Diagrams of specialized equipment developed
-Copies of questionnaires or surveys used in the research
-Scholarly artifacts (e.g., film and other audio, visual, and graphic representations, and application-oriented documents such as policy briefs, curricula, business plans, computer and web applications, etc.) not included in the body of the thesis

Big Data Analytics in Logistic Companies

Order Custom Essay

Preliminaries:
Preliminary requirements:
Cover page/Title Page
displays thesis title, candidate’s name, qualifications, thesis details, department, university, and date.
Table of Contents
lists all major divisions and chapter titles.
(Publications)
(predominantly for theses in the sciences) provides a list of the author’s publications which directly relate to the research work for the dissertation. These papers are often included in an appendix.
List of tables/figures/illustrations
Summary/abstract
summarizes the research undertaken in order to provide an overview of the project and its scholarly significance
Nomenclature/Notation
(generally a requirement in the sciences) defines all notation and symbols used in the text of the dissertation. May be replaced by a list of abbreviations in other disciplines.
Declaration or Statement of authorship
declares that the material has not been used for other awards from other institutions, and that all sources are acknowledged.
Text of the Thesis:
Introduction
provides a clear statement of the topic/problem under investigation and provides the general context for the research sometimes giving details of the methodology and the theoretical background and usually outlining applications of the research. It forcefully justifies the need for this research, and states the aims. It usually concludes with a chapter by chapter outline of the content of the dissertation.

Big Data Analytics in Logistic Companies

Order Custom Essay

Literature Review
presents a critical review of relevant previous studies in the research field. This chapter shows how knowledge has been built up in the research field and, by clearly demonstrating the achievements but also the limitations of the previous research, it presents a well-argued justification for the research to be undertaken.
Sequential chapters
present a detailed description of the experimental or theoretical work undertaken, the results and a discussion of the significance of these results. Each chapter usually has a brief introduction which states the aim of the chapter and an outline of its structure, as well as a short summary to highlight the significant findings of the chapter.
Conclusions and Recommendations for Future Research
presents the major conclusions which can be drawn from the findings of the research. This chapter also makes recommendations for further research.

Big Data Analytics in Logistic Companies

Order Custom Essay

References/Bibliography
records all works that have been referred to in the text of the dissertation.
Appendices
contain any information which is too detailed to include in the body of the dissertation such as additional graphs and tables of detailed data, mathematical proofs, and statistical analyses, interview transcripts, coding procedures etc. Copies of published papers based on the research reported in the dissertation are often included in an appendix.

Big Data Analytics in Logistic Companies

Order Custom Essay

By admin in Essays on January 31, 2017