Data & Analytics Stakeholder Domains

1. Base DataViews & DataMart Architecture

  • Owner: Senior Data Engineer
  • Responsibilities:
    • Manage data architecture and base tables.
    • Optimise database performance and partitioning.
    • Design and maintain data pipelines to ensure proper flow to the warehouse.

2. CRM and Transactional Data

  • Owner: Head of Reporting (in partnership with Senior Data Engineer)
  • Responsibilities:
    • Manage CRM data and ensure consistent capture.
    • Collaborate with Data Engineer to align CRM insights with downstream systems.

3. Data Security and Governance

  • Owner: Data Governance Manager
  • Responsibilities:
    • Implement data security policies and ensure compliance.
    • Manage role-based access controls (RBAC) and data lineage.
    • Maintain data quality standards and governance compliance.

4. Signposting of Insights

  • Owner: Head of Reporting
  • Responsibilities:
    • Communicate insights effectively to the business.
    • Collaborate on dashboards and reporting, ensuring clarity and usability.

5. Metadata and Data Lineage

  • Owner: Data Governance Manager (with Senior Data Engineer’s support)
  • Responsibilities:
    • Maintain clear metadata and data lineage for transparency.
    • Ensure understanding of data sources and transformations across teams.

6. Master Data Management (MDM)

  • Owner: Data Governance Manager
  • Responsibilities:
    • Ensure a “single source of truth” for master data (e.g., customer records).
    • Eliminate duplicate records and manage entity consistency across systems.

7. ETL/ELT and Data Integration Processes

  • Owner: Senior Data Engineer
  • Responsibilities:
    • Manage and optimise ETL/ELT processes for data ingestion from various sources.
    • Ensure efficient data integration with governance and security compliance.

8. Analytics and Data Modelling

  • Owner: Senior Data Engineer (in collaboration with analysts/data scientists)
  • Responsibilities:
    • Develop advanced analytics models and data modelling structures (e.g., star schemas).
    • Ensure insights align with governance standards.

9. Data Lifecycle Management & Archiving

  • Owner: Data Governance Manager (in collaboration with IT)
  • Responsibilities:
    • Define and implement data retention, archiving, and deletion policies.
    • Ensure lifecycle management is compliant and does not compromise access.

10. Data Quality and Stewardship

  • Owner: Data Governance Manager (with support from data stewards)
  • Responsibilities:
    • Assign data stewards to ensure quality at the source.
    • Implement data quality checks and monitoring.

11. Real-Time Data Processing & Streaming

  • Owner: Senior Data Engineer
  • Responsibilities:
    • Set up real-time data processing for immediate insights where necessary.
    • Implement streaming data pipelines and integrate them with batch data.

12. Data Visualisation and User Experience (UX)

  • Owner: Head of Reporting
  • Responsibilities:
    • Develop intuitive and user-friendly dashboards and reports.
    • Continuously improve visualisation tools based on business feedback.

13. Data Governance Metrics & KPIs

  • Owner: Data Governance Manager
  • Responsibilities:
    • Define KPIs for data governance (e.g., data quality scorecards, compliance).
    • Monitor and report on governance metrics regularly to ensure alignment.

14. Business User Training and Data Literacy

  • Owner: Senior Data Engineer (in partnership with Data Governance Manager & Head of Reporting)
  • Responsibilities:
    • Develop data literacy programmes and self-service analytics tools.
    • Provide ongoing training on data access, interpretation, and usage.

Leave a Comment