An Introduction to This Course (Cont.)

Data Life Cycle (Cont.)
  1. Data processing and analysis: This phase is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusion and supporting decision-making. It has multiple facets and approaches, encompassing diverse techniques under a variety of names.
  1. Data visualization: Data visualization is the graphic representation of data. It involves producing images that communicate relationships among the represented data to viewers of the images.
  1. Data sharing: To have a greater impact, the valuable results may be shared with a broader audience, which could be the general public or just outside the organization.

  2. Data applications: In this phase, data is used to support the organization’s objectives and operations, e.g., improving sales or recommendations.
Review: A Data Life Cycle
    Which is NOT one of the major phases in a data life cycle?

      Data classification
      Data preparation
      Data sharing
      Data visualization
Result: