Data Science & Business Analytics
- Length: 288 pages
- Edition: 1
- Language: English
- Publisher: Emerald Publishing
- Publication Date: 2020-12-04
- ISBN-10: 180043877X
- ISBN-13: 9781800438774
- Sales Rank: #0 (See Top 100 Books)
Data Science and Analytics explores the solutions to problems in society, environment and in industry. With the increase in the availability of data, analytics has now become a major element in both the top line and the bottom line of any organization. This book explores perspectives on how big data and business analytics are increasingly essential in better decision making.
This edited work explores the application of big data and business analytics by academics, researchers, industrial experts, policy makers and practitioners, helping the reader to understand how big data can be efficiently utilized in better managerial applications. Data Science and Analytics brings together researchers, engineers and practitioners to encompass a wide and diverse range of topics in a wide range of fields.
The book will provide unique insights to researchers, academics and data scientists from a variety of disciplines interested in analyzing and application of big data analytics, as well as data analysts, students and scholars pursuing advanced study in big data.
Half Title Page Title Page Copyright Page Acknowledgments Contents Preface Five Vs of Big Data Why is Big Data Important? Application of Big Data and Business Analytics Big Data and Business Analytics for Decision-Making Objectives Target Audience Organization of this Book Foreword Editorial Advisory Board List of Contributors Editor Biographies Chapter 1-Data Visualization Introduction Types of Data Types of Visualizations Graphical Visualizations Software Conclusion Future Definitions Chapter 2-Analytical Aspects of Multimedia Big Data Computing and Futur 1 Introduction 2 Basics of BD 3 MMBD Related Work in BD Computing 3.1 Features of MMBD 3.2 Life Cycle of MMBD 4 Importance of MMBD 5 Applications of MMBD 6 Open Problems Outlook and Research Opportunities of MMBD Conclusion Chapter 3-Predictive Analysis: Comprehensive Study of Popular Open-Source Tools Introduction Objective Background Details 1. Scikit-learn 2. WEKA 3. RStudio 4. KNIME 5. Orange 6. RapidMiner 7. Tool Summary Methodology 1. Selection of Tools 2. Datasets 3. Classification Results and Discussions 1. Experiment Setups and Preliminaries Evaluating Performance of the Algorithms a. WEKA. All algorithms executed successfully on WEKA for the given datasets. Table 4 shows the accuracy of some classification algorithms using WEKA tool in percentage: b. Scikit-learn. Accuracy is also calculated using scikit software package installed in Python environment. Table 5 shows the accuracy of these classification techniques for the mentioned datasets using scikit-learn tool for the mentioned datasets. c. RStudio. Table 6 shows the accuracy measures of various classification algorithms using RStudio. The dataset is split by 70% and 30% as training and testing dataset, respectively. Basic preprocessing on the dataset was done, and the classification accu d. Orange. For Orange, no preprocessing widget was used. All classification techniques ran successfully on Orange tool. Table 7 shows the accuracy measures of various classification algorithms using Orange tool. It can be observed that Decision Tree Class e. KNIME. For KNIME, it was found that the classifier algorithms could not be executed against the iris dataset since its dataset is a multiclass and the classifier is only able to deal with the binary classes. f. RapidMiner Overall Analysis Conclusion Key Terms and Definitions Chapter 4-Market Opportunities Through Effective Market Analytics Introduction Materials and Methods Sample Selection and Design Statistical Tools and Techniques: Justification of Research Methodology Results and Discussion Market Segmentation of Consumer Market of Nylon Pauvaji Restaurants Market Segmentation of Customers for Khetlaaapa Tea Market Segmentations of Karnavati Dabeli Market Segmentation of Dwarkadhish Tea Market Segmentation of Santushti Ice-Cream Parlor Conclusion Understanding the Key Terms Foreign Direct Investment (FDI) Food Safety Standard Authority of India (FSSAI) Act, Visual Merchandising Entrepreneurship Goods and Services Tax (GST) Standard Operating Procedure (SOP) Hard Core Loyal Chapter 5-Advance Stochastic Point Process Techniques: Modeling Problems in the Internet of Things (IoT) and Marketing Preface Section 1: Introduction The Appropriateness of the Technique in Stochastic Modeling Section 2: Data Traffic Problems in IoT in the Context of Health-Care Problems Using Wireless Communication Section 3: Prediction of Expected Number of Patients Undergoing Treatment at Any Time. B. The Expected Cost of the Resources Required for Treating the Patients at any Time. Section 4: Stochastic Time-Dependent Modeling of Customer Equity A. Estimating the Customer Base of a Product B. Estimating Customer Equity at any Time Section 5: Discussion and Conclusion Chapter 6-Real-Time Data Analytics – A Contemporary Approach Toward Customer Relationship Management Introduction Theoretical Foundation eCRM Business Analytics Based on Customer Data IoT-Based Real-Time Analytics Customer Life Cycle Management with Real-Time Data Analytics IoT Architecture EDSOA Benefits Discussion Limitations Chapter 7-Application of Big Data for Sustainable Rural Development with Special Reference to MGNREGA Introduction Wage Goals  Labor Employment  Capital  Wage Good Research Methodology Flow of this Chapter Literature Review Poverty and Unemployment in India Rural Employment Employment Programs Wage Employment Programs MGNREGA Implementation Mechanism of MGNREGA Implementation Status: Physical and Financial Salient Feature of MGNREGA Key Points of Salient Features Big Data and MGNREGA MIS Number of Job Cards Deleted Number of Registered Households and Persons Cumulative Number of Households Issued Job Cards Semi-Skilled Worker Trend of Activities in MGNREGA Work Demand Pattern Average Wage Paid MGNREGA Expenditure Gender and Women Empowerment through Feminization of Rural Employment Employment Demanded versus Employment Offered Delay Payment Comparison of Notified Wage and Agriculture Wage Pre- and Post-MGNREGA Wage Situation in Select States Issues and Challenges in MGNREGA Conclusion and Future Research Direction Theoretical and Managerial Implications Research Questions for Future Research Chapter 8-Challenges of Digital Technologies in the Development of Supply Chains: A Guide for Their Selection Introduction Implementing Digital Technologies Becoming a Digital Champion Digitalization. The digitalization process requires the alignment between the digital alternatives and the objectives of the supply chain. This does not mean having the latest digital technologies. Companies should be aware of the digital methodology that Technology Implementation. In this stage, technology is implemented based on the digital methodology chosen in the previous stage. According to Büyüközkan and Göçer (2018), the first thing to do is determine the tasks to be performed and the necessary equ Supply Chain Management. Even if the digitalization and technological implementation were done satisfactorily, they have to be properly managed. This is an essential process, as it helps to reach complex decisions that will allow achieving the strategic o Strategic Implementation Digital Technologies in the Supply Chain BD Robotics Autonomous Vehicles Additive Manufacturing (3D Printing) AI Discovering the Main Effects of Digital Technologies in the Supply Chain Particular Benefits of Digital Technologies Applied to Supply Chain Areas The Collector and Analyzer Technologies. IoT and CC produce improvements in distribution by providing customers with the proper information about the status of their orders by simply accessing the company’s website. In the event that a customer detects th The Interpreter and Transformer Technologies Conclusions Key Terms and Definitions References Index
Donate to keep this site alive
1. Disable the AdBlock plugin. Otherwise, you may not get any links.
2. Solve the CAPTCHA.
3. Click download link.
4. Lead to download server to download.