STEPS IN THE DATA LIFE CYCLE

 

 Generation:

    • Definition: The process of creating new data, either through direct human input, automated systems, or sensors. This stage can include the creation of data from scratch or the transformation of existing information into a new format.
    • Key Activities: Data creation, data synthesis, automated data generation.

Collection:

    • Definition: The systematic gathering of data from various sources, which could include surveys, transaction records, web scraping, or IoT devices.
    • Key Activities: Data acquisition, data harvesting, data aggregation.

Processing:

    • Definition: The stage where raw data is cleaned, transformed, and prepared for storage or analysis. This may involve filtering out errors, normalizing data formats, and integrating data from multiple sources.
    • Key Activities: Data cleaning, data transformation, data integration.

Storage:

    • Definition: The method of saving data in databases, data warehouses, data lakes, or other storage systems to ensure it is secure and accessible for future use.
    • Key Activities: Data organization, indexing, secure storage.

Management:

    • Definition: The ongoing process of maintaining data quality, security, and accessibility. This includes updating data, enforcing data governance policies, and ensuring compliance with regulations.
    • Key Activities: Data governance, data security, data updating.

Analysis:

    • Definition: The examination of data to extract meaningful insights and support decision-making. This involves statistical analysis, machine learning, and other data mining techniques.
    • Key Activities: Data querying, statistical analysis, predictive modeling.

Visualization:

    • Definition: The representation of data through graphical formats such as charts, graphs, and maps to make complex data more understandable and accessible.
    • Key Activities: Data plotting, creating dashboards, developing visual reports.

Interpretation:

    • Definition: The process of drawing conclusions from analyzed data, understanding its implications, and making informed decisions based on the insights gained.






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