Aiken pyramid

Data Management Concepts

Sharon Omwega

Data Scientist

What is the Aiken pyramid?

Data management pillars depicted in pyramid diagram with arrows pointing at different phases.

  • Peter Aiken crafted the Aiken Pyramid drawing from DMBoK functional areas
  • Organizes the data management pillars to help organizations understand and manage their data
  • Acts as a guide to formulate a data strategy
  • Entails four distinct phases
1 International, D. D. (2017, July 1). Dama-Dmbok: Data Management Body of Knowledge.
Data Management Concepts

Laying the foundation

Data management pillars depicted in pyramid diagram with arrows pointing at different phases.

  • Phase 1 entails:
    • Data integration
    • Data modeling
    • Database and storage management
    • Data security and privacy
  • Organizations customize their approaches and solutions to fit their needs
  • Sets the foundation for later efforts
1 International, D. D. (2017, July 1). Dama-Dmbok: Data Management Body of Knowledge.
Data Management Concepts

Building the structure

Data management pillars depicted in pyramid diagram with arrows pointing at different phases.

  • Phase 2 focuses on:
    • Data architecture
    • Metadata management
    • Data quality
  • Aims for dependability and transparency
1 International, D. D. (2017, July 1). Dama-Dmbok: Data Management Body of Knowledge.
Data Management Concepts

Ascending the pyramid

Data management pillars depicted in pyramid diagram with arrows pointing at different phases.

  • Phase 3 requires the incorporation of data governance to regulate the previous phase's focus areas
  • Governance also empowers:
    • Reference data management
    • Master data management
    • Business intelligence
1 International, D. D. (2017, July 1). Dama-Dmbok: Data Management Body of Knowledge.
Data Management Concepts

Summitting excellence

Data management pillars depicted in pyramid diagram with arrows pointing at different phases.

  • At the apex, is phase 4 centering on data science
  • Valuable insights support intelligent business decisions
  • Provides an understanding of the data landscape
1 International, D. D. (2017, July 1). Dama-Dmbok: Data Management Body of Knowledge.
Data Management Concepts

Flexibility

A diverse group of individuals gathered around a table, pondering a question mark symbolizing curiosity.

  • Organizations can tailor their own data management approach
  • Influenced by:
    • Industry requirements
    • Technological capacities
    • Budget constraints
    • Immediate business objectives
    • Unforeseen challenges
  • Approaches can be strategic
Data Management Concepts

Let's practice!

Data Management Concepts

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