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(PDF) Business Analytics: Concept and Applications
business analytics research topics
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PDF Impact of business analytics on large organisations: an information
framework, this thesis examines the perspectives of both technical and business users by multiple case studies and deductive data analysis. A total of four large organisations participated in this research. These organisations located in Australia were using BA and selected from different industry sectors to
PDF Understanding Business Analytics Success and Impact: A ...
business analytics. Keywords: Business analytics, Grounded Theory, Success factors, Qualitative. 1. INTRODUCTION Business analytics refers to the generation and use of knowledge and intelligence to apply data-based decision making to support an organization's strategic and tactical business objectives (Goes, 2014; Stubbs, 2011). Business
PDF Business Intelligence and Analytics in Small and Medium-Sized Enterprises
This thesis presents a study of Business Intelligence and Analytics (BI&A) adoption in small and medium-sized enterprises (SMEs). Although the importance of BI&A is widely accepted, empirical research shows SMEs still lag in BI&A proliferation. Thus, it is crucial to understand the phenomenon of BI&A adoption in SMEs.
PDF Three Essays on Business Analytics
Three Essays on Business Analytics: time-series causality, panel data analysis, and design of experiments. by. Yaser Abolghsemi Dehaghani. A thesis presented to the University of Waterloo in ful llment of the thesis requirement for the degree of Doctor of Philosophy in Management Sciences Waterloo, Ontario, Canada, 2020.
PDF Investigating the Impact of Big Data Analytics on Supply Chain
Thesis Title: Investigating the Impact of Big Data Analytics on Supply Chain Operations: Case Studies from the UK Private Sector ... By Ruaa Hasan Brunel Business School Brunel University London 2021 . 2 | P a g e Ruaa Hasan Abstract In the era of increasing competitive pressure and pace of changing demand, volatility and
Defining business analytics: an empirical approach
Nelson (2017) defines analytics as "the scientific process or disci- pline of fact-based problem-solving". Davenport and Harris (2007,p.7)define analytics as "extensive use of data, statistical and quantitative analysis, explora- tory and predictive models, and fact-based manage- ment to drive decisions and actions".
PDF Utilization of Business Analytics in Professional Sports Organizations
Combining these different definitions, this thesis defines business analytics as the use of various analytical methods and tools to assist and improve the decision-making of businesses. 2.3 The difference between sports analytics and business analytics in sports industry The general concepts of data analytics and business analytics were defined ...
PDF Deep Learning in Business Analytics: Methods and Applications
ture utilizing deep learning to tackle problems in business analytics (see Chapter2). Consequently, this dissertation has the following three objectives. • We research previous literature that employ deep learning in the area of business analytics. For this purpose, we discuss requirements on the data and the task that
(PDF) Berumen, A. (2021). Effective use of data analytics and its
Berumen, A. (2021). Effective use of data analytics and its impact on business performance within small-to-medium-sized businesses (Order No. 28721954).
PDF Deep Learning in Business Analytics: A Clash of Expectations
Business analytics constitutes a quite long chain of different analytics, which includes descriptive, predictive, and prescriptive analytics (Delen & Ram, 2018). ML operates mainly in the predictive sphere of business intelligence but has started to incorporate prescriptive analytics as well (Bertsimas & Kallus, 2019). 1.2 Deep Learning
(Pdf) an Analysis of The Impact of Business Analytics on Innovation
Abstract. The advances in Big Data and Business Analytics (BA) have provided unprecedented opportunities for organizations to innovate. With new and unique insights gained from BA, companies are ...
PDF MSc Business Analytics
rigorous analysis and practical conclusions. Students need to confirm their dissertation choices by mid-February. Companies are encouraged to submit project ideas by 26th January. Benefits for Your Business o Access specialised business thinking to undertake a piece of research or analysis that you may not have the resources to tackle in-house
(PDF) A systematic review on business analytics
Originality/value: This systematic review, as a synthesis of the current research on business analytics, can serve as a quick guide for new researchers and practitioners in the field, while ...
PDF Thesis topics for the master thesis Data Science and Business Analytics
thesis is an exploration by well-motivated simulation scenarios. (3) Find/collect an appropriate set of data to illustrate the method. The context of the data should be explained, as well as a discussion of the results and an interpretation for the context of the data. Main reference: A. Fisher, C. Rudin, F. Dominici (2019).
PDF Linking Business Analytics to Decision Making Effectiveness: a ...
contribute to the business analytics literature by providing useful insights into business analytics applications and the facilitation of data-driven decision-making. They also contribute to managers' knowledge and understanding by demonstrating how business analytics should be implemented to improve decision-making effectiveness.
Business analytics and big data research in information systems
Business analytics summarises all methods, processes, technologies, applications, skills, and organisational structures necessary to analyse past or current data to manage and plan business performance. While in the past, business intelligence was rather focused on data integration and reporting descriptive analytics, business analytics is ...
PDF Business Intelligence and Business Value in Organisations: A Systematic
in-memory analytics, planning, alerts, forecasts, scorecards and data mining) that transform raw data into meaningful and useful information and enable an effective, systematic and purposeful analysis of an organisation and its competitive environment" [2]. The definition acknowledges the relationship between Big Data, Business Analytics, Data
PDF Applied Business Analytics: Integrating Business Process, Big Data, and
Foreword. This book is well-timed for the current business analytics zeit-geist—the spirit of the times—in a variety of ways. Analytics and big data have become accepted tools for business strategy and competi-tion. In surveys, virtually every manager agrees that they are impor-tant resources for business.
PDF Business Analytics in Practice and in Education: A Competency-based
Business analytics is a fast-growing area in practice. The rapid growth of business analytics in practice in the recent years is mirrored by a corresponding fast evolution of new educational programs. While more than 130 graduate and undergraduate degree programs in business analytics have been launched in the past 5 years, no commonly accepted ...
PDF BUSINESS INTELLIGENCE IN STRATEGIC MANAGEMENT
Likewise, the objective of this thesis is to analyse how Business Intelligence (BI) can help companies make strategic decisions. This thesis studies how automation has changed the style of business. This thesis tries to sum up how BI can be used to overcome problems and make the correct decision for the company.
(PDF) Business Analytics: Concept and Applications
organization's motivation, strengths and weaknesses is necessary (Hawley, 2016). Business Analytics comprises techniques and processes namely, statistical analysis; forecasting; predictive ...
Masters dissertations
MSc Business Analytics. Predicting Customer Churn Using Simple Machine Learning Algorithms. Sonali Saxena, 2022. PM10 forecasting using Seasonal Auto-Regressive Integrated Moving Average (SARIMA) model and comparing its performance with Long Short Term Memory (LSTM) Model. Mukti Ajay Shah, 2022.
PDF International Business Analytics Conference for Academic and 2024
The International Business Analytics Conference (IBAC) is pleased to announce its inaugural conference, hosted at SUNY Fredonia on Friday-Saturday, May 3-4, 2024. IBAC 2024 provides a unique platform that bridges the gap between academic and industry expertise in the field of business/data analytics through Academia-Industry Partnership.
(PDF) The Influence Model of Business Data Analytics on Decision Making
This paper depicts the field of Business Analytics (BA) from decision-making prescriptive, which is the science of using statistical techniques and technologies to scrutinize past data for ...
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framework, this thesis examines the perspectives of both technical and business users by multiple case studies and deductive data analysis. A total of four large organisations participated in this research. These organisations located in Australia were using BA and selected from different industry sectors to
business analytics. Keywords: Business analytics, Grounded Theory, Success factors, Qualitative. 1. INTRODUCTION Business analytics refers to the generation and use of knowledge and intelligence to apply data-based decision making to support an organization's strategic and tactical business objectives (Goes, 2014; Stubbs, 2011). Business
This thesis presents a study of Business Intelligence and Analytics (BI&A) adoption in small and medium-sized enterprises (SMEs). Although the importance of BI&A is widely accepted, empirical research shows SMEs still lag in BI&A proliferation. Thus, it is crucial to understand the phenomenon of BI&A adoption in SMEs.
Three Essays on Business Analytics: time-series causality, panel data analysis, and design of experiments. by. Yaser Abolghsemi Dehaghani. A thesis presented to the University of Waterloo in ful llment of the thesis requirement for the degree of Doctor of Philosophy in Management Sciences Waterloo, Ontario, Canada, 2020.
Thesis Title: Investigating the Impact of Big Data Analytics on Supply Chain Operations: Case Studies from the UK Private Sector ... By Ruaa Hasan Brunel Business School Brunel University London 2021 . 2 | P a g e Ruaa Hasan Abstract In the era of increasing competitive pressure and pace of changing demand, volatility and
Nelson (2017) defines analytics as "the scientific process or disci- pline of fact-based problem-solving". Davenport and Harris (2007,p.7)define analytics as "extensive use of data, statistical and quantitative analysis, explora- tory and predictive models, and fact-based manage- ment to drive decisions and actions".
Combining these different definitions, this thesis defines business analytics as the use of various analytical methods and tools to assist and improve the decision-making of businesses. 2.3 The difference between sports analytics and business analytics in sports industry The general concepts of data analytics and business analytics were defined ...
ture utilizing deep learning to tackle problems in business analytics (see Chapter2). Consequently, this dissertation has the following three objectives. • We research previous literature that employ deep learning in the area of business analytics. For this purpose, we discuss requirements on the data and the task that
Berumen, A. (2021). Effective use of data analytics and its impact on business performance within small-to-medium-sized businesses (Order No. 28721954).
Business analytics constitutes a quite long chain of different analytics, which includes descriptive, predictive, and prescriptive analytics (Delen & Ram, 2018). ML operates mainly in the predictive sphere of business intelligence but has started to incorporate prescriptive analytics as well (Bertsimas & Kallus, 2019). 1.2 Deep Learning
Abstract. The advances in Big Data and Business Analytics (BA) have provided unprecedented opportunities for organizations to innovate. With new and unique insights gained from BA, companies are ...
rigorous analysis and practical conclusions. Students need to confirm their dissertation choices by mid-February. Companies are encouraged to submit project ideas by 26th January. Benefits for Your Business o Access specialised business thinking to undertake a piece of research or analysis that you may not have the resources to tackle in-house
Originality/value: This systematic review, as a synthesis of the current research on business analytics, can serve as a quick guide for new researchers and practitioners in the field, while ...
thesis is an exploration by well-motivated simulation scenarios. (3) Find/collect an appropriate set of data to illustrate the method. The context of the data should be explained, as well as a discussion of the results and an interpretation for the context of the data. Main reference: A. Fisher, C. Rudin, F. Dominici (2019).
contribute to the business analytics literature by providing useful insights into business analytics applications and the facilitation of data-driven decision-making. They also contribute to managers' knowledge and understanding by demonstrating how business analytics should be implemented to improve decision-making effectiveness.
Business analytics summarises all methods, processes, technologies, applications, skills, and organisational structures necessary to analyse past or current data to manage and plan business performance. While in the past, business intelligence was rather focused on data integration and reporting descriptive analytics, business analytics is ...
in-memory analytics, planning, alerts, forecasts, scorecards and data mining) that transform raw data into meaningful and useful information and enable an effective, systematic and purposeful analysis of an organisation and its competitive environment" [2]. The definition acknowledges the relationship between Big Data, Business Analytics, Data
Foreword. This book is well-timed for the current business analytics zeit-geist—the spirit of the times—in a variety of ways. Analytics and big data have become accepted tools for business strategy and competi-tion. In surveys, virtually every manager agrees that they are impor-tant resources for business.
Business analytics is a fast-growing area in practice. The rapid growth of business analytics in practice in the recent years is mirrored by a corresponding fast evolution of new educational programs. While more than 130 graduate and undergraduate degree programs in business analytics have been launched in the past 5 years, no commonly accepted ...
Likewise, the objective of this thesis is to analyse how Business Intelligence (BI) can help companies make strategic decisions. This thesis studies how automation has changed the style of business. This thesis tries to sum up how BI can be used to overcome problems and make the correct decision for the company.
organization's motivation, strengths and weaknesses is necessary (Hawley, 2016). Business Analytics comprises techniques and processes namely, statistical analysis; forecasting; predictive ...
MSc Business Analytics. Predicting Customer Churn Using Simple Machine Learning Algorithms. Sonali Saxena, 2022. PM10 forecasting using Seasonal Auto-Regressive Integrated Moving Average (SARIMA) model and comparing its performance with Long Short Term Memory (LSTM) Model. Mukti Ajay Shah, 2022.
The International Business Analytics Conference (IBAC) is pleased to announce its inaugural conference, hosted at SUNY Fredonia on Friday-Saturday, May 3-4, 2024. IBAC 2024 provides a unique platform that bridges the gap between academic and industry expertise in the field of business/data analytics through Academia-Industry Partnership.
This paper depicts the field of Business Analytics (BA) from decision-making prescriptive, which is the science of using statistical techniques and technologies to scrutinize past data for ...