Enterprise Use Cases in Big Data Analytics

2020

Big Data Analytics (BDA) is evolving as an essential topic for researchers and practitioners due to its potential to improve business efficiency and productivity in a firm. Despite the opportunities and strategic business values that can be gained from the use of big data analytics (BDA), some various challenges and obstacles need to be addressed during the adoption of BDA. Many researchers describe how values are created from the adoption of big data analytics in an organization. Still, there are very few papers focusing on the challenges and barriers the company faces while adopting and creating values from big data analytics. The main objective of this thesis is to investigate the various challenges and obstacles experienced by the organizations while utilizing BDA tools for creating and converting extensive data into business value. This study aims to answer the following research questions: RQ1: How do organizations use big data analytics in the decision-making process? RQ2: Do...

The International Technology Management Review, 2016

Many businesses are implementing big data applications to improve efficiency and performance; and reduce costs and resource consumption. As digitization has become an integral part of everyday life, data collection has resulted in the accumulation of huge amounts of data that can be used in various beneficial application domains. Effective analysis and utilization of big data is a key factor for success in many businesses. This paper reviews the applications of big data to support businesses in key areas including E-Commerce, Human Resources, Customer Relationship Management, and Accounting. The review reveals that big data concepts are being used successfully and businesses have harvested it benefits both in financial and non-financial terms. The competitive nature of businesses that have emerged from enabled insight prompts for every business to ensure that they reap meaningful information from the internet and use it to create a business opportunity. Consequently, the significance of big data in developing value that can be turned to a potential commercial gap, created from insight, which can be exploited remains an area that has limited exploration from analytics in the discipline. It remains critical to evaluate the efficient business insight strategies that can be developed to ensure an optimized value addition that is based on accurate insight from the wild count of data source. Additionally, the study reveals that several opportunities are available for utilizing Big Data in different types of businesses; however, there are still many issues and challenges to be addressed to achieve better utilization of this technology. Consequently, there is much that remain unexplored on efficient Big Data approaches that can be used to gain value for business, especially now a time of acute business competition.

Big Data and Cognitive Computing, 2019

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.

2016

Big data is the most common term used to describe the exponential rise and data availability, both structured and unstructured. Big data can be very important to business as the internet has become. Why? Accurate analyses can be derived from more data volume which in turn helps in making decisions confidently. And better decisions can mean greater efficiencies in operations, reduction of cost and low risk rate. Analysis of Enterprise Big Data to derive business value has become top priority for the majority of modern businesses and organizations. To most organizations, these are data that comes from online transactions, videos, audios, images, social networking interactions, science data, sensors and mobile phones and their applications etc. Stored in databases, they keep growing massively and becoming increasingly difficult to capture, store, manage, share, analyze and visualize via the use of typical database software tools. The study was conducted to analyze enterprise Big Data: ...

International Journal of Advanced Research in Computer Science and Software Engineering

ABSTRACTBusiness has always desired to derive insights from big data in order to make better, smarter, data-driven decisions. Big data refers to data that are generated at high volume, high velocity, high variety, high veracity, and high value. It has fundamentally changed the way business companies operate, make decisions, and compete. It can create value for businesses. This paper provides a brief introduction to how big data is being used in businesses.

The internet era creates new types of large and real-time data; much of those data are non-standard such as streaming and sensor-generated data. Advanced big data technologies enable organizations to extract insights from sophisticated data. Volume, variety and velocity represent big data challenges, which cause difficulties in capture, storage, search, sharing, analysis and visualization. Therefore, technologies like No-SQL, Hadoop and cloud computing used to extract value from large volumes and a wide variety of data to discover business needs. This article's goal is to focus on the challenges of big data and how the recent technologies can be used to address those issues, which are illustrated through real world case studies. The article also presents the lessons learned from these case studies.

The World is moving so fast, every Company, institution or organisation wants to generate volume in terms of profit by using Data. Simply means No company, Institution or organisation will survive without Data. So if every organisation need data, private or government then it come to the reason we have big data come to “Big Data”

Big data is a term that was coined in 2012 and has since then emerged to one of the top trends in business and technology. Big data is an agglomeration of different technologies resulting in data processing capabilities that have been unreached before. Big data is generally characterized by 4 factors. Volume, velocity and variety. These three factors distinct it from the traditional data use. The possibilities to utilize this technology are vast. Big data technology has touch points in different businesses across industries, but finds its place likewise in government organizations and the healthcare sector. The development of sophisticated big data tools which change the corporate culture in organizations and will have a significant effect on the managerial decision making in businesses.

International Journal of Scientific Research and Review

The future generation of big data analytics is based on parallel and distributed system. As the business is rapidly growing, the data storage for such type of applications is increasing exponentially. The data have become a fast flowing into each field of business and global economy. The big organizations are agitate out a proliferate volume of functional data, analyzing trillions of bytes of information of their customers, suppliers and the day-by-day transactions. The major barriers organizations face in extracting value from existing data and analytics are organizational; many difficulties to incorporate marketing insights into everyday business processes. Another big challenge in this global world of business is attracting and possession the correct talent-not only data scientists but also business translators who have mix the data acuity with industry and practical competence.

Big Data and Cognitive Computing

Big data applications and analytics are vital in proposing ultimate strategic decisions. The existing literature emphasizes that big data applications and analytics can empower those who apply Big Data Analytics during the COVID-19 pandemic. This paper reviews the existing literature specializing in big data applications pre and peri-COVID-19. A comparison between Pre and Peri of the pandemic for using Big Data applications is presented. The comparison is expanded to four highly recognized industry fields: Healthcare, Education, Transportation, and Banking. A discussion on the effectiveness of the four major types of data analytics across the mentioned industries is highlighted. Hence, this paper provides an illustrative description of the importance of big data applications in the era of COVID-19, as well as aligning the applications to their relevant big data analytics models. This review paper concludes that applying the ultimate big data applications and their associated data an...