Data Literacy and Strategy

Data Literacy and Strategy encompasses the dual focus of fostering the widespread ability within an organization to read, understand, question, and communicate with data (literacy), while simultaneously developing a high-level plan to manage and utilize data assets to achieve specific objectives (strategy). This discipline moves beyond the technical execution of data analysis to build an organizational culture where data is a core asset and a shared language, ensuring that data-driven insights are not confined to specialist teams but are integrated into the decision-making processes at all levels to drive value and competitive advantage.

1. Foundations of Data Literacy and Strategy
   1. Understanding the Data Hierarchy
      1. Data as Raw Facts
         1. Characteristics of Raw Data
         2. Sources of Raw Data
         3. Data Collection Points
      2. Information as Processed Data
         1. Data Processing Methods
         2. Adding Context to Data
         3. Information Quality Factors
      3. Knowledge from Information Analysis
         1. Pattern Recognition
         2. Insight Generation
         3. Knowledge Validation
      4. Wisdom in Data Application
         1. Judgment in Data Use
         2. Ethical Considerations
         3. Strategic Decision Making
   2. The Complete Data Lifecycle
      1. Data Creation and Generation
         1. Primary Data Generation
         2. Secondary Data Sources
         3. Automated Data Collection
         4. Manual Data Entry
      2. Data Acquisition and Ingestion
         1. Data Source Identification
         2. Data Collection Methods
         3. Data Import Processes
         4. Real-time vs Batch Processing
      3. Data Storage and Management
         1. Storage Architecture Options
         2. Data Organization Principles
         3. Storage Security Measures
         4. Backup and Recovery
      4. Data Processing and Transformation
         1. Data Cleaning Procedures
         2. Data Transformation Techniques
         3. Data Enrichment Methods
         4. Quality Assurance Processes
      5. Data Analysis and Interpretation
         1. Analytical Methodologies
         2. Statistical Analysis Techniques
         3. Pattern Discovery Methods
         4. Insight Extraction
      6. Data Sharing and Distribution
         1. Internal Data Sharing
         2. External Data Exchange
         3. Data Publishing Standards
         4. Access Control Mechanisms
      7. Data Archiving and Retention
         1. Archival Strategies
         2. Long-term Storage Solutions
         3. Retention Policy Development
         4. Compliance Requirements
      8. Data Disposal and Destruction
         1. Secure Deletion Methods
         2. Regulatory Compliance
         3. Audit Trail Maintenance
         4. Certificate of Destruction
   3. Core Concepts and Definitions
      1. Data Literacy Fundamentals
         1. Reading Data Competency
         2. Working with Data Skills
         3. Analyzing Data Capabilities
         4. Arguing with Data Proficiency
      2. Data Strategy Components
         1. Vision and Objectives
         2. Governance Framework
         3. Technology Infrastructure
         4. Organizational Alignment
      3. Strategic Value of Data
         1. Data as Business Asset
         2. Competitive Advantage Creation
         3. Innovation Enablement
         4. Risk Mitigation