thesis big data

The big data adaptation and analytics of cloud computing. The predictive data maintenance for fault diagnosis. Interesting Research Topics on A/B Testing In Big Data. A/B testing topics are different from the normal big data topics. However, you use an almost similar methodology to find the reasons behind the issues.

Big data decision-making is a term used to describe organizations' decision- making which is supported by big data. (Janssen, van der Voort, & Wahyudi, 2017; Mallinger & Stefl, 2015) Rationality is the use of logical reasoning and one of the aspects of decision- making in this study.

"Big Data Capability as a firm's capability of identifying sources, where large volumes of various kinds of data flow out at high speed, and collecting, storing, and analyzing such Big Data for the purpose of accomplishing the firm's strategic as well as operational goals." (p. 51) Dynamic capabilities view: Pigni et al. (2016), Chen et al ...

MASTER THESIS Big Data and Business Intelligence: a data-driven strategy for e-commerce organizations in the hotel industry Date 03-09-2015 Personal information Author Mike Padberg E-mail [email protected] Study program Master in Business Administration Business Information Management ...

2.1. Characteristics of big data. The concept of BDA overarches several data-intensive approaches to the analysis and synthesis of large-scale data (Galetsi, Katsaliaki, and Kumar Citation 2020; Mergel, Rethemeyer, and Isett Citation 2016).Such large-scale data derived from information exchange among different systems is often termed 'big data' (Bahri et al. Citation 2018; Khanra, Dhir ...

Thesis Title: Investigating the Impact of Big Data Analytics on Supply Chain Operations: Case Studies from the UK Private Sector A thesis submitted for the degree of Doctor of Philosophy By Ruaa Hasan Brunel Business School Brunel University London 2021 . 2 | P a g e

PDF | On Jan 1, 2021, Nadeem U. Shahid and others published Impact of Big Data on Innovation, Competitive Advantage, Productivity, and Decision Making: Literature Review | Find, read and cite all ...

Big Data Analytic s: A Literature Review Pape r. Nada Elgendy and Ahmed Elragal. Department of Busi ness Informatics & Operations, German University in Cairo (GUC), Cairo, Egypt. {nada.el-gendy ...

The Evolution of Big Data and Its Business Applications. Doctor of Philosophy (Information Science), May 2018, 113 pp., 12 tables, 10 figures, references, 203 titles. The arrival of the Big Data era has become a major topic of discussion in many sectors because of the premises of big data utilizations and its impact on decisionmaking. It is an -

This thesis proposes eight big data quality parameters in total. Six out of eight of those models were coded and made into a final year project by a group of Master's degree students at SJSU. A case study is carried out using linear regression analysis, and all the big data quality parameters are validated with positive results.

Optimizing Big Data Analytics Frameworks in ... Shuhao Liu A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy The Edward S. Rogers Sr. Department of Electrical and Computer Engineering ... The performance of data analytics jobs is likely to suffer, as transferring data among ...

The introduction of Big Data Analytics (BDA) in healthcare will allow to use new technologies both in treatment of patients and health management. The paper aims at analyzing the possibilities of using Big Data Analytics in healthcare. The research is based on a critical analysis of the literature, as well as the presentation of selected results of direct research on the use of Big Data ...

completed papers using big data and related methodologies. This special issue of the Review of Financial Studies (RFS) on big data in finance includes four papers from the first NBER-RFS Winter Conference on Big Data held on March 8, 2019, and two other papers that are closely related to this theme. The RFS has the tradition of encouraging ...

Big Data Analytics Applications (BDAA) are important for businesses because use of Analytics yields measurable results and features a high impact potential for the overall performance of a business.

Data Science-Related Research Topics. Developing machine learning models for real-time fraud detection in online transactions. The use of big data analytics in predicting and managing urban traffic flow. Investigating the effectiveness of data mining techniques in identifying early signs of mental health issues from social media usage.

With Big Data, auditors can minimize the risk posed by. sampling, and therefore, provide a reasonable level assurance. The present study. examines financial statement users' perceptions of the level of assurance when auditors. present unqualified opinions using Big Data during the audit engagement. It observes this.

Findings manifested that big data analytics was a game changer for university libraries. BDA transformed library services, and enhanced information services. The study also revealed that awareness and expertise, technical issues, and data integrity and security were the major challenges that causes barriers for the adoption of BDA based ...

Title of thesis. Big Data in Finnish Companies - What has been done and the results achieved. Degree. Master of Science in Economics and Business Administration. Degree programme. Information andService Economy. Thesis advisor(s) Merja Halme, Anu Bask. Year of approval. 2015. Number of pages. 69. Language. English. Abstract

2. implementation strategies of big data analytics can result in selecting the wrong technologies and skillsets (Matthias et al., 2017). Big data technology enables organizational leaders to have the ability to access, diagnose, and integrate the necessary information gathered through various data sources.

The use of Big Data in healthcare poses new ethical and legal challenges because of the personal nature of the information enclosed. Ethical and legal challenges include the risk to compromise privacy, personal autonomy, as well as effects on public demand for transparency, trust and fairness while using Big Data. 16.

BIG DATA ANALYTICS CAPABILITIES AND THE ORGANISATIONAL PERFORMANCE OF SOUTH AFRICAN RETAILERS DIANA WELBOTHA HOLLONG STUDENT NUMBER: 3511096 A thesis submitted in fulfilment of the requirements for the degree of Masters in Information Systems In the Department of Information System Faculty of Economics and Management Sciences

2014. The explosion in the amount of data, called "data deluge", is forcing to redefine many scientific and technological fields, with the affirmation in any environment of Big Data as a potential source of data. Official statistics institutions a few years ago started to open up to external data sources such as administrative data.

These ideas have been drawn from the 8 v's of big data namely Volume, Value, Veracity, Visualization, Variety, Velocity, Viscosity, and Virility that provide interesting and challenging research areas for prospective researches in their masters or PhD thesis . Overall, the general big data research topics can be divided into distinct ...

Fitness is important to sustain well-being and ameliorate the risk of chronic health conditions such as diabetes and obesity. Health coaching has played a crucial role in helping people maintain a healthy standard of living. It has also enabled the betterment of people's mental well-being due to the role they play in their improved physical activity. The advent of Large Language Models has ...