Business Analytics for Effective Decision Making is a comprehensive reference that explores the role of business analytics in driving informed decision-making. The book begins with an introduction to business analytics, highlighting its significance in today's dynamic business landscape. The subsequent chapters review various tools and software available for data analytics, addressing both the opportunities and challenges for professionals in different sectors.
Readers will find practical insights and real-world case studies across diverse industries, including banking, retail, marketing, and supply chain management. Each chapter provides actionable insights and concludes with implications for implementing data-driven strategies.
Key Features:
- Practical Examples: Real-world case studies and examples make complex concepts easy to understand.
- Ethical Considerations: Guidance on responsible data usage and addressing ethical implications.
- Comprehensive Coverage: From data collection to analysis and interpretation, the book covers all aspects of business analytics.
- Diverse Perspectives: Contributions from industry experts offer diverse insights into data analytics applications in business research, marketing, supply chain and the retail industry.
- Actionable Insights: Each chapter concludes with practical implications for implementing data-driven strategies.
Table of Contents
Chapter 1 Introduction to Business Analytics for Effective Decision Making
- Data Analytics
- Privacy
- Fairness
- Transparency
- Structured Data
- Unstructured Data
- Big Data
- Tools for Data Analytics
- Statistical Software
- Machine Learning Software
- Business Intelligence Software
- The Different Challenges and Limitations of Data Analytics
- Data Quality
- Data Bias
- Interpreting Results
- Cost
- Business Analytics
- Improved Decision-Making
- Increased Efficiency
- Enhanced Customer Insights
- Reduced Risk
- Improved Compliance
- Key Steps Involved in Business Analytics for Effective Decision Making
- Collect the Data
- Clean and Prepare the Data
- Analyze the Data
- Communicate the Results
- This Book Presents a Collection of Papers That Illustrate the Use
- Of Data Analytics in Different Fields. The Papers Cover a Variety Of Topics, Including
- Data Mining in Banks
- Value at Risk and Conditional Value at Risk
- Relevance of Big Data Analytics in Banking Sector
- Performance Appraisal and Organizational Outcome
- HR Analytics and Its Implications in Organizations
- Stress Management Among Women Police Officers
- Marketing Analytics in Business
- Impact of Data Analytics in Retail Industry
- Emerging Landscape in Business Analytics Technologies
- A Study on Supply Chain Management Practices of Seafood Industries in Kerala
- Gamut of Data Mining Incidental to Fraud Detection in the Era of Digital Banking
- Pros and Cons of the Methods Used in the Papers
- Arima Model on Gst - a Predictive Analysis
- Data Mining in Banks
- Value at Risk and Conditional Value at Risk in the Risk Management of Indian Stock Portfolios
- Relevance of Big Data Analytics in the Banking Sector
- Performance Appraisal and Organizational Outcome Via the Mediating Effect Of
- Relationship With Peer Group and Subordinates - a Tool for Hr Analytics
- Stress Management Among the Women Police Officers With Special Reference to Kannur District
- Marketing Analytics in Business Impact of Data Analytics in Retail Industry
- Emerging Landscape in Business Analytics Technologies
- A Study on Supply Chain Management Practices of Seafood Industries in Kerala
- Gamut of Data Mining Incidental to Fraud Detection in the Era of Digital Banking
- Overall, the Methods Used in These Papers Have Both Pros and Cons
- The Practical/Theoretical Implications of the Chapters
- Arima Model on Gst - a Predictive Analysis
- Data Mining in Banks
- Value at Risk and Conditional Value at Risk in the Risk Management of Indian Stock Portfolios
- Relevance of Big Data Analytics in Banking Sector
- Performance Appraisal and Organizational Outcome Via the Mediating Effect Of
- Relationship With Peer Group and Subordinates - a Tool for Hr Analytics
- Stress Management Among Women Police Officers With Special Reference to Kannur District
- Marketing Analytics in Business
- Impact of Data Analytics in Retail Industry
- Emerging Landscape in Business Analytics Technologies
- A Study on Supply Chain Management Practices of Seafood Industries in Kerala
- Gamut of Data Mining Incidental to Fraud Detection in the Era of Digital Banking
Chapter 2 Arima Model on Gst - a Predictive Analysis
- Introduction
- Significance of the Study
- Research Methodology
- Discussion of Findings
- Conclusion
- References
Chapter 3 Data Mining in Banks: a Bibliometric Analysis
- Introduction
- Research Questions
- Rq1
- Rq2
- Rq3
- Rq4
- Rq5
- Rq6
- Rq7
- Rq8
- Research Methodology
- Results and Discussion
- Overview
- Annual Scientific Production & Average Citation Per Year
- Rq1
- Three-Field Plot Analysis
- Rq2
- Source Clustering Through Bradford’S Law
- Rq3
- Source Impact
- Rq4
- Thematic Map and Thematic Evolution
- Rq5
- Rq6
- Clustering Network
- Rq7
- Conclusion
- References
Chapter 4 Value at Risk and Conditional Value at Risk in the Risk Management of Indian Stock Portfolios
- Introduction
- Literature Review
- Data and Methodology
- Historical Method
- Computerized Model
- Results and Discussion
- Conclusion
- Appendix
- References
Chapter 5 Relevance of Big Data Analytics in the Banking Sector
- Introduction
- Classification of Analytics
- Big Data in Banking
- Impact of Big Data
- Advantages of Big Data Analytics for the Banking Sector
- Assessment of Attitude and Reaction
- Effective Customer Feedback Analysis
- Purchase Patterns of Customers
- Data Management and Fraud Risk Assessment
- Big Data Analytics Challenges
- Security Issues
- Regulatory Specifications
- Intense Regulatory Requirements
- Maintaining Data Quality
- Data Analytics to Manage Risks in Banks
- Conclusion
- References
Chapter 6 Performance Appraisal and Organizational Outcome Via The Mediating Effect of Relationship With Peer Group And Subordinates-A Tool for HR Analytic
- Introduction
- Peer Appraisal
- Forced Choice Method
- Rating Scale
- Forced Distribution Method
- Behaviorally Anchored Rating Scale
- Critical Incident
- Human Resource Accounting
- Psychological Approach
- Mbo Approach
- 360-Degree Appraisal
- Assessment Centre Approach
- Paired Comparison Method
- Conclusion
- References
Chapter 7 Stress Management Among Women Police Officers With Special Reference to Kannur District
- Introduction
- Research Problem
- Significance of the Study
- Scope of the Study
- Literature Review
- Objectives of the Study
- Hypothesis of the Study
- Research Methodology
- Research Design
- Sampling Design
- Data Collection Methods
- Statistical Tools Used for the Study
- Limitations of the Study
- Analysis & Interpretation
- Analysis I
- H0
- Interpretation
- Interpretation
- Analysis Ii
- H0
- H0
- H0
- Analysis Iii
- Factors Influencing Stress.
- Standardized Canonical Discriminant Function Coefficients
- H0
- Effects of Stress
- Findings and Suggestions
Author
- Sumi K.V.
- R. Vasanthagopal
