Business Analytics

1. Data Management in Business Analytics
   1. Data Collection
      1. Sources of Business Data
         1. Internal Sources
            1. Transactional Data
            2. Customer Registry
            3. Internal Reports and Surveys
         2. External Sources
            1. Public Data Sets
            2. Partner and Supplier Data
            3. Market Research Firms
      2. Methods of Data Gathering
         1. Manual Data Entry
            1. Surveys and Questionnaires
            2. Interview Processes
         2. Automated Data Collection
            1. Web Scraping
            2. Sensor and IoT Devices
   2. Data Cleaning and Preprocessing
      1. Data Quality Assessment
         1. Data Completeness
         2. Data Consistency
         3. Accuracy and Precision
         4. Timeliness and Relevance
         5. Anomaly Detection
      2. Data Transformation Techniques
         1. Data Normalization and Standardization
         2. Data Aggregation and Summarization
         3. Handling Missing Values
            1. Imputation Methods
            2. Data Discarding Strategy
         4. Handling Outliers
            1. Outlier Detection Techniques
            2. Impact Assessment
   3. Data Storage and Access
      1. Database Management Systems
         1. Relational Databases
            1. SQL Databases
            2. Complex Query management
         2. Non-relational Databases
            1. NoSQL Databases
            2. Flexibility and Scalability
      2. Data Warehousing
         1. ETL Processes (Extract, Transform, Load)
         2. Data Marts
         3. Metadata Management
         4. OLAP (Online Analytical Processing)
      3. Cloud Storage Solutions
         1. Benefits of Cloud Storage
            1. Scalability
            2. Cost Efficiency
            3. Flexibility
            4. Accessibility
         2. Challenges
            1. Security Concerns
            2. Compliance with Standards
            3. Data Migration Issues
   4. Data Governance
      1. Data Policies and Procedures
         1. Establishing Data Ownership
         2. Data Lifecycle Management
      2. Data Security and Privacy
         1. Encryption Techniques
         2. Authentication and Authorization
         3. Data Masking and Anonymization
         4. Compliance with Legal Standards (e.g., GDPR, CCPA)
      3. Data Quality Management
         1. Data Stewardship
         2. Continuous Monitoring and Feedback Loops
   5. Master Data Management (MDM)
      1. Importance of MDM
         1. Creating a Single Source of Truth
         2. Enhancing Data Consistency Across Systems
      2. Strategies for Effective MDM
         1. Data Consolidation
         2. Data Synchronization
         3. Data Profiling and Auditing
   6. Real-Time Data Processing
      1. Streaming Data Architecture
         1. Event Streaming Platforms
         2. Real-Time Analytics Solutions
      2. Use Cases in Business
         1. Immediate Customer Feedback Analysis
         2. Dynamic Pricing Adjustments
   7. Data Integration and Interoperability
      1. APIs and Data Connectivity
         1. Application Programming Interfaces (APIs)
         2. Middleware Solutions
      2. Interoperability Standards
         1. Data Exchange Protocols
         2. Unified Data Models