Data life cycle

Introduction to Data

Maarten Van den Broeck

Senior Content Developer at DataCamp

What is the data life cycle?

  • Planning and collecting
  • Storing and managing
  • Cleaning and processing
  • Analyzing and visualizing
  • Sharing
  • Archiving/destroying

data life cycle

Introduction to Data

Why is the data life cycle important?

  • Ensure data is regulated responsibly
  • Identify potential areas for improvement
  • Improve efficiency and effectiveness of operations

data life cycle

Introduction to Data

Plan and collect

data life cycle plan

  • Planning for other stages of the data life cycle
  • Sharing of roles and responsibilities
  • To achieve optimal results in terms of time and cost
  • Collect or create data?
Introduction to Data

Store and manage

data life cycle store and manage

  • Data stored in databases or data warehouses
  • Easily accessible to the right person
  • Removal of PII
Introduction to Data

Clean and process

data life cycle clean and process

  • Formatting data
  • Missing data
  • Transforming data
Introduction to Data

Analyze and visualize

data life cycle analyze and visualize

  • Analyzing raw data for new insights
  • Data is easier to interpret when visualized
  • Analyzing and visualizing data is done in various ways
Introduction to Data

Share

data life cycle share

  • Communicate your results
  • Dashboards, reports, papers
Introduction to Data

Archive or destroy

data life cycle archive or destroy

Decide if data should be kept or deleted

Data archiving:

  • Data backups
  • Documentation
  • Digitizing

Data destruction:

  • In rare cases
  • Protecting private information
  • Resources can be freed up
Introduction to Data

Let's practice!

Introduction to Data

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