Business Analytics Research Papers - Academia.edu (original) (raw)

- by
- •
- Business Administration, Business Analytics

Project organized in collaboration between the Master's course "Technologies for web marketing" at the University of Pisa and Google Marketing Challenge. This project consisted of a 1 month Google Campaign for a non-profit association, in our case the Caritas Lodigiana Association. It allowed us to develop and put into practice the different Google Tools, involving:
- Google Ads
- Google Analytics
- Google Search Console
- Google Tag Manager
- Google Optimize

- by Luftjan Saliaj
- •
- Social Media, Business Analytics, Web Marketing, Marketing Online

Esports has seen a phenomenal explosion in popularity in recent years, gaining increasing interest from the media, sports, and technology industries. The purpose of this study is to show an overview of the recent evolution of the gaming market in representative countries in Eastern Asia, Western Europe, and North America during 2017-2019, and the corresponding growth projections for the next five years. For this purpose, descriptive, correlational, and forecasting analyses were used to assess the relationships among key variables associated with the growth of the gaming industry and to show different possibilities to address the data using data analytics. The games market revenues, total number of players, Google trends data, GDP per capita and online population were studied as possible key influencers to explain the industry's growth. Predictive analytics with MS Power BI revealed a positive correlation between GDP per capita and market revenues and players in European and North American countries, while in Asia was just the opposite. Also, a positive relationship between Google trends in esports and the games market revenues is noted. Forecasts showed significant growth for each region. Practical implications and future research directions are discussed.

- by Jesús Manuel Palma-Ruiz and +3
- •
- Information Technology, Media Studies, Forecasting, Videogames

The current study sought to investigate the factors which influence the quality of decision-making using
business intelligence (BI) in a metal rolling plant in KwaZulu-Natal. Specifically, the study was focused on information
quality, system quality and BI service quality. The study used a self-administered survey sent out to participants having
sufficient report runs which made up the population of the study. The collected data came from different levels of
employees, namely; managers (47%) and non-managers (53%) with varying levels of BI experience, and the data was
imported into SPSS for analysis. The results showed that information quality had a positive significant impact on the
quality of decision-making; system quality had a positive significant impact on the quality of decision-making; and BI
service quality had a positive significant impact on the quality of decision-making. Multiple linear regression analysis was
conducted to determine the strength of these variances in influencing decision-making. It was found that the three
variables explained 65.7% of the variance in the quality of decision-making. Overall, the study found that high quality
information, coupled with a high-quality system and good BI service, leads to a higher quality of decision-making, and
that the impact of BI on decision-making is positive. The study recommends that the company implement data quality
management focusing on data cleansing, it should also implement more sophisticated analysis techniques to get insights
and have strategies to upskill both technical and business workers.

- by Dilal Saundage
- •
- Information Systems, Psychology, Cognitive Science, Computer Science
- by Saad AlShanqiti
- •
- Business Analytics, Business Analysis

Currency counterfeiting is a serious matter of concern for government and national finance organizations. The policy makers have formed a zero tolerance policy for counterfeiting, but still the incidence of counterfeit notes is becoming an alarming situation. The counterfeited banknotes reduce the value of real money and an increase in the money supply is not just a solution, because it leads to inflation. Counterfeiting poses tangible as well as intangible impacts and affects business organizations and thereby a nation's economy. Therefore, the research study aims to identify the factors that affects the counterfeiting in Indian banknotes. Questionnaire as a data collection instrument was used to collect data from the north-west region of Delhi. The factors were then identified through exploratory factor analysis and standardized using a confirmatory factor analysis. At last, the relative effect of each factor was measured using multiple regression analysis as a part of confirm...

- by akanksha upadhyaya
- •
- Business Analytics, IGI Global
- by Claudia Cavalcanti
- •
- Business Intelligence, Analytics, Business Analytics
- by Merlin Marfa
- •
- Analytics, Business Analytics

This study investigates how managerial decision-making is influenced by Big Data analytics, analysts’ interaction skills and quantitative skills of senior and middle managers. The results of a cross-sectional survey of senior IT managers reveal that Big Data analytics (BDA) creates an incentive for managers to base more of their decisions on analytic insights. However, we also find that interaction skills of analysts and – even more so – managers’ quantitative skills are stronger drivers of analytics-based decision-making. Finally, our analysis reveals that, contrary to mainstream perceptions, managers in smaller organizations are more capable in terms of quantitative skills, and they are significantly more likely to base their decisions on analytics than managers in large organizations. Considering the important role of managers’ quantitative skills in leveraging analytic decision support, our findings suggest that smaller firms may owe some of their analytic advantages to the fact...

- by Bernhard Wieder
- •
- Business, Analytics, Business Analytics

Many Organizations struggle in collecting data, retrieving information and making sound decisions within good time. With a
very high increase in data collection due to the growing global market and customization, the decision making process needs
to be fast and more accurate. The research was conducted at the National Identification Authority which is a Government
Identity Management Institution. A survey method and a Stratified Random Sampling method of data collection were used.
In looking at the possibility to optimize Business performance through Business Intelligence, it was expedient to investigate
the current BI tools used by the organisation under study. Find out the awareness of Business Intelligence to some critical
staff and their perception on the adaptation of a full scale Business Intelligence system by the organisation. It was found out
that the institution does not have a BI system in operation and about half of the respondents interviewed acknowledged the
need of using a Business Intelligence system. They were however concerned about Business Intelligence capital
intensiveness, the need for intelligent planning, highly skilled technocrats to man such a system as the main challenges. In
addressing these concerns some recommendations are outlined which would go a long way in helping the National
Identification Authority.

- by Mark O Nketia
- •
- Information Systems, Computer Science, Business Intelligence, Business Analytics
- by Hugh J Watson
- •
- Business Intelligence (BI), Business Analytics

Business intelligence suppose retrieving value from data floating in the organization environment. It provides methods and tools for collecting, storing, formatting and analyzing data for the purpose of helping managers in decision-making. At the start, only data from enterprise internal activities were examined. Now and in this turbulent business environment, organizations should incorporate analysis of the huge amount of external data gathered from multifarious sources. It is argued that BI systems accuracy depends on quantity of data at their disposal, yet some storage and analysis methods are phased out and should be reviewed by academics and practitioners. This paper presents an overview of BI challenges in the context of Big Data (BD) and some available solutions provided, either by using Cloud Computing (CC) or improving Data Warehouse (DW) efficiency.

- by Hicham Elbousty
- •
- Business Intelligence, Business Analytics, Big Data, Busniess Studies
- by Fernanda Luvizotto do Amaral
- •
- Facebook, Apple, Google, Business Analytics

The use of Big Data analytics for business improvements is a vital strategy for survival. In this paper, we report a study that investigates the role of BD analytics on consumer finance, credit card finance in China—a research area that has largely remained unexplored. The largeness and diversity of Chinese consumer market merit an urgent attention and understanding of role of BD analytics is significant both theoretically and managerially. This study achieves that target. Given the exploratory nature of study, we take a qualitative approach. We conduct approximately 30 interviews with baking and finance sector respondents. The data will be recorded, transcribed and translated. We will analyze data using content analysis / thematic analysis technique.

The process of learning, our way of working, thinking and interaction has all changed due to the internet supported by world wide mobile revolution. Currently the 4G's concept is marching towards the standardization phase. So time has come to introduce a new technology in which we can connect to multiple wireless technologies, networks, terminals and applications, all simultaneously and can also switch between them. This latest technology is named as 5G. 5G (5th generation mobile networks or 5th generation wireless systems) is a term used in some research papers and projects to denote the next major phase of mobile telecommunications standards beyond the current 4G/IMT-Advanced standards. 5G is considered as beyond 2020 mobile communications technologies. This upcoming technology will support IPv6 and flat IP. This paper addresses an overall description of the 5G systems and its architecture, standard, benefits, challenges in deployment, Security issues and scope of 5G technologies. This paper will also focus the researches being made on worldwide wireless web (WWWW), Dynamic Adhoc Wireless Network (DAWN) and real wireless world.

- by Hugh J Watson
- •
- Business Analytics
- by Hugh J Watson
- •
- Business Intelligence, Data Warehousing, Business Analytics
- by David Aguado
- •
- Business Analytics

Abstract Big data technologies, Analytics and Artificial Intelligence are great tools with capabilities to accomplish complex tasks at levels beyond human skills. The trio are becoming more and more prominent these days as they can be utilized to collect, organize, and analyze large varied data sets in order to reveal hidden patterns and trends that can help address several problems peculiar to sustainable development. Nevertheless, a number of challenges arise in the process of exploring these technologies for proffering solutions. This special issue presents novel research approaches adopted in Africa in relation to Big Data, Analytics and Artificial Intelligence in different domains. It also presents the challenges and issues that can be explored in the future.

- by Peter Adebayo Idowu Ph.D
- •
- Computer Science, Analytics, Business Analytics, Data Science

The film industry is one of the biggest contributors to the entertainment industry and also it is characterized with its unpredictability in success and Failure. Film Industry has always amused everyone with its unpredictable success and Failure. This research looks into the inner details of watching a movie by splitting the research into three main components. First section is exploring the variables that influence the frequency of movie watch; second, developing a model to predict the success or failure. Finally, social network sentiment analysis is carried out through data mining to capture the audience sentiment and its impact on movie’s success and failure. The research tries to look at the success or failure of a movie on a more holistic manner than trying to grade the performance of a movie over a few variables based on the previous research works on movie success prediction.

- by prasanna Mohan Raj
- •
- Data Mining, Sentiment Analysis, Marketing Research, Movies

We introduce a novel framework for goals-based wealth management (GBWM), where risk is understood as the probability of investors not attaining their goals, not just the standard deviation of investors' portfolios. Our framework is based on a foundation of developments in behavioral economics and finance and is consistent with modern portfolio theory. Using a simple geometric analysis, we determine a specifi c portfolio that matches each individual investor's stated goals. Our approach requires information from the investor about their goals, elicited in a clear manner that market research shows is superior to common current practices. This new approach can improve the communication between advisors and clients and produce better advice for enabling clients to attain their goals with high probability through the use of efficient portfolios.

Authors Note- I write this paper in candidacy of the Masters OF Business Intelligence and Analytics in my civilian capacity as a student at Heider College of Business- Creighton University and is in no way meant to challenge the decisions of leadership appointed over me in accordance with federal law as an Active Duty Soldier. All information presented in this writing is my own opinion based on scholarly research and gleaned entirely from unclassified public documents.

- by Nathan J Kerr
- •
- Business, Business Administration, Business Intelligence, Business Analytics

Recruitment of young talented players is a critical activity for most professional teams in different sports such as football, soccer, basketball, baseball, cycling, etc. In the past, the selection of the most promising players was done just by relying on the experts’ opinion, but without a systematic data support. Nowadays, the existence of large amounts of data and powerful analytical tools have raised the interest in making informed decisions based on data analysis and data-driven methods. Hence, most professional clubs are integrating data scientists to support managers with data-intensive methods and techniques that can identify the best candidates and predict their future evolution. This paper reviews existing work on the use of data analytics, artificial intelligence, and machine learning methods in talent acquisition. A numerical case study, based on real-life data, is also included to illustrate some of the potential applications of business analytics in sport talent acquis...

- by david lopez
- •
- Business, Business Analytics, IGI Global
- by Angel Suarez
- •
- Computer Science, Analytics, Business Analytics, Learning Analytics

This paper develops a national logistics benchmarking process based on the Logistics Performance Index (LPI) database maintained by the World Bank. The process adopts a business process management (BPM) logic with two core benchmarking analytic steps to compare LPI performance metrics data of the chosen benchmarked countries against the focal country to better identify key area(s) for the national logistics performance improvement of the focal country. Using Taiwan as an example, this paper presents how to benchmark other countries and validates the designed benchmarking process.

- by Shong-iee Su and +1
- •
- Supply Chain Management, Operations Management, Logistics Management, Business Analytics
- by Roxana Voicu-Dorobantu
- •
- Business Intelligence, Analytics, Business Analytics

This article attempts to answer a much doubted question through a Graduate perspective. Here, considerations made by other technological premonitory personnel, who have predicted that marine transportation as a whole will be completely... more

- by Sagnik Das
- •
- Transportation Engineering, Data Analysis, Industrial Automation, Business Analytics
- by Michael Cuellar
- •
- Critical Realism, Morphogenesis, Business Analytics, Retroduction

Decision makers are exposed to an increasing amount of information. Algorithms can help people make better data-driven decisions. Previous research has focused on both companies’ orientation towards analytics use and the required skills of individual decision makers. However, each individual can make either analytically based or intuitive decisions. We investigated the characteristics that influence the likelihood of making analytical decisions, focusing on both analytical orientation and capabilities of individuals. We conducted a survey using 462 business students as proxies for decision makers and used partial least squares path modeling to show that analytical capabilities and analytical orientation influence each other and affect analytical decision-making, thereby impacting decision quality and decision regret. Our findings suggest that when implementing business analytics solutions, companies should focus on the development not only of technological capabilities and individua...

- by Marcelo Bronzo
- •
- Business Analytics

Knowledge-based decision support systems (KB-DSS) recommend decision actions based on stored knowledge. One of the challenges in time-critical clinical KB-DSS is the ability to maintain and continually improve the underlying knowledge-base. This challenge stems from the dynamic nature of the knowledge, and from the time constraints associated with the time critical interventions which do not afford for a traditional knowledge engineering approaches to feasibly occur during actual system usage. This paper explores the proposition that a usage-driven design approach could act as an enabler for the continual improvement of time critical, real-time KB DSS. We will describe a case study of an existing trauma reception and resuscitation time-critical real-time decision support system to express the challenges found in the current implementation and define the information requirements for supporting the proposed approach using a design-science-research methodology.

Purpose: The research aims to characterize newest soultions, especially with the respect to cybersecurity aspects of Business Intelligence analytics based on the processing of large sets of information with the use of sentiment analysis and Big Data. Design/Methodology/Approach: The working hypothesis refers to assumption that current regulations and security solutions for Business Intelligence analytics based on the processing of large sets of information with the use of sentiment analysis and Big Data is under extreme preassure to meet evergrowing challenges. There are more and more dends form the legal regulators as well as from the market and that creates a lot of problems with data protection. The article uses legal and comparative analysis as well as structural and functional analysis. Additionally, the interpretation method is also present. Findings: Article indicates that the aforementioned issues with the respect to growing importance of internet including the Internet of Things and Internet of Everything are becoming of more and more importance and cannot go with appropriate level of cybersecurity since the data they collect is of the great importance. The trends immanent to Industry 4.0 require from business more effort and customer orientation. Growing population and access to Internet demands larger scales of business operations. Practical Implications: As a result of conducting the research, it is possible to identify threats and present some recommendations for cybersecurity of Business Intelligence. Originality/Value: This is a complete research for Cybersecurity of Business Intelligence analytics based on the processing of large sets of information with the use of sentiment analysis and Big Data.

Our proposed system enables maintenance and control of electric poles i.e the street lights. It will be easier to monitor and control the operation of street lights. The system will detect faults in the street lights to intimate the control room to take immediate action. This application will have the following features viz. automatic circuit fault detection, pole inclination detection, and light sensing. This project aims for designing and executing the advanced development in embedded systems for energy saving of street lights. Currently, we have a manual system where the street lights will be switched ON in the evening before the sunsets and they are switched OFF in the next day morning after there is suﬃcient light on the outside[1]. But the actual timing for these lights to be switched ON is when there is absolute darkness. With this, the power will be wasted up to some extent. This project gives a solution for electrical power wastage.[2]

- by Aliya Shaikh
- •
- Data Mining, Project Management, Market Research, Marketing Management
- by Hugh J Watson
- •
- Privacy, Business Analytics, Big Data
- by Hugh J Watson
- •
- Business Analytics

Oshwal College proposes to develop a model project for student-teacher evaluation entitled A
STUDENT-TEACHER EVALUATION SYSTEM. The project is an evaluation system
aimed at eliminating paperwork and automatically generates reports on the feedback of the
students.
By using a systems approach, the project will provide students to provide answers to the
questions related to the course that is being taken and the lecturers who teach the students.
Hence the results will be calculated and the scores will be automatically generated and
displayed to the board.
The ultimate goal of the project is to save resources being wasted by the college and save
time in assessing the lecturers, hence generating accurate results.

- by Bhavya Barot
- •
- Information Systems, Access Control, Web Development, Cloud Computing

The digital marketing revolution and dynamic actions, organizations started focusing more on implementing strategies to find new prominent customer segments through digital marketing mediums [1]. Business analytics focuses on organizations to make fast, better and more intelligent decisions with the target to create business value [2]. Information Technology (IT)-driven big data analytics now has the potentiality to discover hidden facts in large amount of data to help in making business decisions which are customized to any organization needs. This paper is strive to create a machine learning model for sales customers data for campaign marketing straining lead data which will help in identifying interest and impressions on customer leads and important attributes influencing lead conversion to promote the digital media[3]. For the development of predictive data analytics model using CRISP methodology used and described each step in clearly.The Machine learning algorithm logistic Regression applied to find the approved conversions. Used Python for data Pre-processing, model development and validation. More clear about the predictive data analytics model & discussed the implementation steps involved in model development. To measure the quality of the model by using classification metrics which are confusion matrix and ROC curve and outcome of the metrics discussed [3]. The benefit of Machine learning model to get the approved conversion and the benefits of the model discussed.

- by IAEME Publication
- •
- Machine Learning, Business Analytics, Validation, Model development

This paper extends research on the relationship between quality management and sustainable operations initiatives. A functional quality system is widely regarded as a prerequisite for effective environmental management, but research on the interplay of specific quality management and sustainability techniques is scarce. This paper examines the relationships of design for environment (DFE) and quality management innovation (QMI) to environmental and economic performance. Quality management innovation is defined as those elements of TQM that specifically support or enhance innovation in products and processes. We examine these relationships with survey data from 492 manufacturing practitioners across a variety of industries. The results suggest a significant positive relationship between DFE and environmental performance, and find that this effect is significantly and positively mediated by quality management innovation. This study contributes to quality and sustainability literature while offering useful insight to practitioners.

- by Randy Napier and +2
- •
- Business Analytics

Data is everywhere. Ubiquitously, companies and governments are collecting data. One simple visit to the World Wide Web leaves a wide digital footprint. One Google search about the best mutual funds in the market and you will be bombarded with mutual fund advisories anywhere you visit. The lines between the online world and the offline world are blurring, as the number of metadata increases. This paper looks at certain ways as to how our civilization is becoming smarter, with every device around us right from the mobile phone to electric bulb, becoming smarter with each passing day. This paper looks at the origins of the collection of metadata, as well as their use in customizing the world as per our needs and wants.

- by Ijariit Journal
- •
- Human Computer Interaction, Statistics, Web Design, Privacy

Management accountants are positioned to play a key role in the implementation and application of business analytics in their organizations as they move beyond traditional, transaction based accounting to analytics. This emerging trend... more

- by Kristine Brands and +1
- •
- Management Accounting, Business Intelligence, Business Analytics, Big Data

This project investigated analytical techniques used by organizations across many industries for HR functions, and how data analytical techniques can help HR departments work efficiently. The goal was to look into the obstacles and opportunities that companies have when using HR analytics as a tool in their businesses. This project used secondary data acquired from earlier research articles, journals from the years 2016 to 2019, blogs, and websites to investigate theories and applications of HR analytics. It also examined the need of analytics to assist HR leaders in thinking about the implications of these technologies in future work and how data analytics will shape the HR system in the future. The project examined the implementation of different AI and Data Analytics techniques - Predictive, Perspective, Descriptive and Diagnostic analytics that are already in use by organizations to maximize efficiency in the HR department. The project also uncovered the following important issu...

The Data and Analytics Team sits in the Digital and Enterprise Capabilities Group and is responsible for driving the strategy, implementation and delivery of Data, Analytics and Automation capabilities across Enterprise. This global team will deliver "Next-Gen Value" by establishing core Data and Analytics capabilities needed to effectively manage and exploit Data as an Enterprise Asset. The Business Analyst will be responsible for documenting business processes, use cases and gathering requirements which will enable teams answer strategic and business questions through data.

- by Koshik Singh
- •
- Business Analytics

Business Analytics (BA) has become an important source of competitive advantage for small-and medium-sized enterprises (SMEs) in the modern era of electronic commerce and commercial globalization. The application of BA is particularly widespread in the developed countries. However, in the developing world, such as the Middle East and North Africa (MENA) region, the uptake of BA is less impressive due to many factors including lack of finances. This study sought to establish the status of BA adoption among SMEs in the MENA region, the factors influencing their adoption, the role of business size in adoption decision, and the future of BA for SMEs in the MENA region. The study established that the size of a business plays a major role in BA adoption decisions due to size-related factors, such as ability to access finances and management structure. The study also established that while most of medium-sized enterprises in the MENA region have adopted BA tools, most of small-sized enterprises are yet to do so. Consequently, the future of BA for SMEs in this region is dependent on whether SMEs, particularly small-sized enterprises can obtain better access to credit. Government policies to enhance this access as well as to enhance awareness among the SMEs about the importance of BA will also play an essential role in determining the future of BA among SMEs in this region.

- by Moetaz soubjaki
- •
- Data Analysis, Business Analytics, SMEs performance

The Li Ka Shing Library recently included a new section, “Heat Maps” on the library website, providing users instant access to the physical occupancy spaces across all the different levels in the library. The indoor location-aware system is one in the latest slew of additions in tracking the library patrons’ visitations. It is the first of the many forms of library usage data sources that seek to provide an impetus in engaging the SMU community through real-time data visualizations. This enhances the perception of SMU Libraries as a creative nexus that nurtures and champions innovative methods of information access through technology innovations. This paper details the various forms
of library usage data sources and how they impact the student patrons’ experience. It also outlines a case study on how data harnessed solutions can further foster a safe space that enriches and embodies the SMU Libraries experience.

- by Aaron Tay and +1
- •
- Business Analytics

This article describes how magnetic resonance imaging (MRI) systems play a crucial role in radiology, specifically in the diagnosis of diseases and management of patient treatment. The objective of this article is to present MRI technicians' perspective on the relative importance of the required factors when selecting and purchasing an MRI system. Analytic Hierarchy Process (AHP) methodology was used to determine the relative priorities for different criteria along with the consistency of responses. A set of criteria for MRI system were identified based on the literature and interviews with experts (i.e., MRI technicians), and organized into a rational hierarchical framework consisting of the five main criteria and nineteen sub-criteria. An online survey including demographic questions was conducted to identify the relative weights of these criteria. Survey responses from 87 technicians indicate that brand is found to be the most important criteria, followed by patient comfort, ...

- by Fethi Calisir
- •
- Business, Computer Science, Business Analytics

In almost every type of business a retention stage is very important in the customer life cycle because according to market theory, it is always expensive to attract new customers than retaining existing ones. Thus, a churn prediction system that can predict accurately ahead of time, whether a customer will churn in the foreseeable future and also help the enterprises with the possible reasons which may cause a customer to churn is an extremely powerful tool for any marketing team. In this paper, we propose an approach to predict customer churn for non-subscription based business settings. We suggest a set of generic features that can be extracted from sales and payment data of almost all non-subscription based businesses and can be used in predicting customer churn. We have used the neural network-based Multilayer perceptron for prediction purposes. The proposed method achieves an F1-Score of 80% and a recall of 85%, comparable to the accuracy of churn prediction for subscription-based business settings. We also propose a system for causality analysis of churn, which will predict a set of causes which may have led to the customer churn and helps to derive customer retention strategies.

Big Data in the current context is an asset for any government body as it helps in efficient and effective governance with the help of technology so as to create and build a citizen centric approach. 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 business and service domains. The Government of India initiated a Big Data exercise by collecting data in various forms, namely, PAN card data, voter ID card data, AADHAR data, BPL data, etc., which was meant to pass on the benefits of a specific nature to the beneficiaries. Various schemes have been conceived and implemented by different state and central governments wherein Big Data has been generated and has helped the beneficiaries in different facets of receiving the benefits. The next step of all these smart...

- by Parag Shukla
- •
- Business, Business Analytics