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Economic sciences
Business
Business Analytics
Process of Business Analytics
Defining Business Objectives
Identifying Key Performance Indicators (KPIs)
Understanding Business Goals
Aligning Analytics with Business Strategy
Setting Specific, Measurable, Achievable, Relevant, Time-bound (SMART) Goals
Measuring Success
Quantitative vs. Qualitative KPIs
Benchmarking Against Industry Standards
Establishing Analytical Goals
Defining Scope and Purpose
Short-term vs. Long-term Goals
Prioritizing Initiatives Based on Impact
Identifying Stakeholder Requirements
Understanding Stakeholder Expectations
Gathering and Analyzing Stakeholder Feedback
Data Analysis
Exploratory Data Analysis (EDA)
Data Profiling
Data Types and Distributions
Identifying Outliers and Anomalies
Pattern Detection
Trends and Correlations
Data Visualization for Insight Development
Model Development and Evaluation
Selecting Modeling Techniques
Classical Statistical Models
Machine Learning Methods
Validation and Testing
Cross-Validation Techniques
Performance Metrics (e.g., accuracy, precision, recall)
Model Fine-Tuning
Hyperparameter Optimization
Evaluating Overfitting and Underfitting
Interpretation and Communication
Result Interpretation
Quantitative Analysis
Understanding Statistical Significance
Drawing Conclusions from Data
Qualitative Analysis
Contextualizing Results within Business Environment
Exploring Non-quantifiable Impacts
Communicating Insights to Stakeholders
Crafting Effective Visuals
Data Visualization Techniques for Different Audiences
Infographic Design Best Practices
Storytelling with Data
Tailoring Message to Audience Needs
Creating Persuasive Narratives
Implementation and Monitoring
Integrating Insights into Business Operations
Developing Actionable Plans
Translating Analytical Findings into Business Actions
Setting Milestones and Deliverables
Change Management
Managing Resistance and Facilitating Adoption
Training and Support for Implementation Teams
Continuous Monitoring and Improvement
Establishing Monitoring Mechanisms
Real-time vs. Periodic Evaluation
Feedback Loops for Continuous Learning
Iterative Improvement
Identifying New Opportunities for Analysis
Incorporating Learning into Future Models and Strategies
4. Business Analytics Tools and Technologies
First Page
6. Applications of Business Analytics