Summary of Designing Data Governance from the Ground Up • Lauren Maffeo & Samia Rahman

Summary of "Designing Data Governance from the Ground Up" by Lauren Maffeo & Samia Rahman

Main Financial Strategies, Market Analyses, and Business Trends:

Methodology/Step-by-Step Guide:

  1. Define Data Governance: Establish a clear definition of Data Governance as a strategy for managing people, processes, and tools related to big data.
  2. Align with Business Mission: Ensure that all data strategies tie back to the organization’s mission statement.
  3. Identify Data Domains: Conduct a process mapping exercise to identify key data domains and subdomains within the organization.
  4. Engage Data Stewards: Identify senior subject matter experts (SMEs) who can act as Data Stewards for each domain.
  5. Implement Governance-Driven Development: Integrate governance principles into the technical environment to ensure that governance is reflected in the tools used.
  6. Monitor Data Lifecycle: Establish continuous monitoring of data quality and standards throughout the Data Lifecycle, particularly post-deployment.

Key Takeaways:

Presenters/Sources:

Notable Quotes

08:30 — « Everything you do regarding your data strategy has to align back to the fundamental reason why your business exists. »
11:22 — « The chief data officer role is fundamentally not a technical role; it does require technical expertise but it is a strategic business function. »
36:52 — « This is truly something bigger than you and even though it's meant to benefit your organization, it's even actually bigger than the team and the organization itself. »

Category

Business and Finance

Video