Big Data and Business Analytics: Trends, Platforms, Success Factors and Applications

Author:

Ajah Ifeyinwa Angela,Nweke Henry FridayORCID

Abstract

Big data and business analytics are trends that are positively impacting the business world. Past researches show that data generated in the modern world is huge and growing exponentially. These include structured and unstructured data that flood organizations daily. Unstructured data constitute the majority of the world’s digital data and these include text files, web, and social media posts, emails, images, audio, movies, etc. The unstructured data cannot be managed in the traditional relational database management system (RDBMS). Therefore, data proliferation requires a rethinking of techniques for capturing, storing, and processing the data. This is the role big data has come to play. This paper, therefore, is aimed at increasing the attention of organizations and researchers to various applications and benefits of big data technology. The paper reviews and discusses, the recent trends, opportunities and pitfalls of big data and how it has enabled organizations to create successful business strategies and remain competitive, based on available literature. Furthermore, the review presents the various applications of big data and business analytics, data sources generated in these applications and their key characteristics. Finally, the review not only outlines the challenges for successful implementation of big data projects but also highlights the current open research directions of big data analytics that require further consideration. The reviewed areas of big data suggest that good management and manipulation of the large data sets using the techniques and tools of big data can deliver actionable insights that create business values.

Publisher

MDPI AG

Subject

Artificial Intelligence,Computer Science Applications,Information Systems,Management Information Systems

Reference78 articles.

1. Big Data at Work: Dispelling the Myths, Uncovering the Opportunities;Davenport,2014

2. Competing on Analytics: The New Science of Winning;Davenport,2014

3. How Big Data is Different;Davenport;MIT Sloan Manag. Rev.,2012

4. The rise of “big data” on cloud computing: Review and open research issues

5. Creating Strategic Business Value from Big Data Analytics: A Research Framework

Cited by 74 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Cloud Analytics;Emerging Trends in Cloud Computing Analytics, Scalability, and Service Models;2024-03-22

2. Comparative Analysis of NLP-Based Models for Company Classification;Information;2024-01-31

3. Business Case Evaluation and Data Identification;Big Data Analytics Techniques for Market Intelligence;2024-01-04

4. Digital Transformation: The New Frontier for NPOs;Nonprofit Digital Transformation Demystified;2023-12-15

5. Leveraging big data analytics for intelligent transportation systems: optimize the internet of vehicles data structure and modeling;International Journal of Data Science and Analytics;2023-12-14

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3