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[Epic] Analytics #681

Description

@glenflorendo

Description

Implement foundational data infrastructure and analytics to capture and analyze user interactions, system performance, and business metrics. This epic focuses on enabling data-driven decisions, pilot insights, and iterative product improvements.

Outcome

  • Tracking plan implemented across key user flows.
  • MVP data pipelines established for ETL and reporting.
  • Centralized dashboards visualizing KPIs

Activity

  1. changed the title [-]Containerize application[/-] [+]draft[/+] on Sep 14, 2025
  2. added
    agile: initiativeA high-level product or organizational goal. Represents an outcome, not individual work.
    on Nov 3, 2025
  3. changed the title [-]draft[/-] [+][Initiative] Data Engineering[/+] on Nov 3, 2025
  4. changed the title [-][Initiative] Data Engineering[/-] [+][Initiative] Data Science and Engineering[/+] on Nov 3, 2025
  5. changed the title [-][Initiative] Data Science and Engineering[/-] [+][Epic] Data Science Engineering[/+] on Nov 3, 2025
  6. changed the title [-][Epic] Data Science Engineering[/-] [+][Epic] Data Science & Analytics[/+] on Nov 3, 2025
  7. changed the title [-][Epic] Data Science & Analytics[/-] [+][Epic] Analytics[/+] on Nov 3, 2025
  8. added
    agile: epicA large feature or capability that can be broken down into smaller deliverables.
    and removed
    agile: initiativeA high-level product or organizational goal. Represents an outcome, not individual work.
    on Feb 16, 2026
  9. added
    complexity: smallthis issue will be very prescriptive, including info on what tools to use for each task
    size: 1ptCan be done in 6 hours or less
    size: 0.25ptCan be done in 1.5 hours or less
    and removed
    complexity: largetask is assuming a high level of knowledge about how to approach and what tools to use.
    size: 8ptCan be done in 31-48 hours
    size: 1ptCan be done in 6 hours or less
    on Mar 20, 2026
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