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Project Stakeholders Communication: Financial Data Platform

File: project_stakeholders_communication.md When to Use: Project kickoff, major changes, or alignment communications Audience: Business Owners, Finance, Operations, Legal, Compliance Purpose: Alignment and expectation management

Subject​

Financial Data Platform - Communication

To: Business Owners, Finance, Operations, Legal, Compliance

From​

Data Platform Team

Date​

January 2026

What's Changing​

We're implementing a new automated data platform for financial transaction analytics. This will change how we process, validate, and report on transaction data.

Timeline​

What This Means For Your Team​

Finance Team​

What Changes​

  • Faster reporting: Month-end reports available same-day (vs. 2-3 days currently)
  • More accurate: Automated validation reduces manual errors
  • Better analytics: SQL-based queries enable ad-hoc analysis
  • Audit trail: Full lineage tracking for regulatory compliance

What Stays the Same​

  • Report formats (initially)
  • Data definitions (month-end balances, etc.)
  • Your access to data (via dashboards/reports)

What We Need From You​

  1. Review & Approve: Gold layer schema (business metrics definition) - Task 2: Structure Design
  2. SME Time: 2-3 hours to validate data definitions
  3. Sign-off: Approve reporting requirements by [Date]

Timeline (2)​

  • Week 2: Review data definitions document
  • Week 4: Approve Gold layer schema
  • Week 8: User acceptance testing (UAT)
  • Week 12: Go-live

Operations Team​

What Changes (2)​

  • Automated processing: No more manual CSV processing
  • Data quality alerts: Automated notifications when data issues occur
  • Quarantine review: New process to review invalid data

What Stays the Same (2)​

  • Source data format (CSV files)
  • Data delivery schedule (monthly)
  • Your role in data quality (reviewing issues)

What We Need From You (2)​

  1. Data Quality Review: Review quarantined records when alerts trigger
  2. Source Data Fixes: Coordinate fixes for invalid source data
  3. Process Updates: Update your team's data delivery process

New Process​

  • Monthly: Automated ETL runs, you receive alert if quarantine rate > 5%
  • As Needed: Review quarantine, identify root cause, fix source data
  • Backfill: If source data is fixed, the affected period will be reprocessed.

Timeline (3)​

  • Week 4: Training session on quarantine review process
  • Week 8: Practice run with test data
  • Week 12: Go-live, first production run

Legal & Compliance​

What Changes (3)​

  • Audit trail: Full immutable audit trail (Bronze layer)
  • Reproducibility: Can reproduce any historical report
  • Data retention: Configurable retention policies
  • Access logs: CloudTrail logs for all data access

What Stays the Same (3)​

  • Regulatory requirements (no change)
  • Compliance reporting schedule
  • Your oversight role

What We Need From You (3)​

  1. Compliance Review: Review security controls, audit trail design
  2. Retention Policy: Define data retention requirements
  3. Access Approval: Approve access control model

Compliance Features​

  • Immutable Raw Data: Bronze layer never overwritten (full audit trail)
  • Run Isolation: Each processing run tracked via run_id (reproducibility)
  • Access Control: Least-privilege IAM roles, audit logs
  • Data Classification: Financial data (sensitive), restricted access

Timeline (4)​

  • Week 2: Security architecture review
  • Week 4: Compliance controls approval
  • Week 8: Audit trail validation
  • Week 12: Compliance sign-off

Business Owners (Product/Revenue)​

What Changes (4)​

  • Better analytics: SQL-based queries enable deeper insights
  • Faster insights: Same-day data availability (vs. 2-3 days)
  • Self-service: Analysts can run ad-hoc queries (with training)

What Stays the Same (4)​

  • Your access to reports/dashboards
  • Data definitions (initially)
  • Business metrics (no change to calculations)

What We Need From You (4)​

  1. Requirements: Confirm analytics requirements (what questions do you need answered?)
  2. Priority: Confirm this is a Q1 priority
  3. Resources: Approve analyst time for training (2-3 days)

Timeline (5)​

  • Week 2: Requirements gathering session
  • Week 6: Review analytics capabilities
  • Week 10: Analyst training (SQL, Athena)
  • Week 12: Go-live, first self-service queries

Benefits For Everyone​

Immediate Benefits (Q1 2026)​

  1. Faster Reporting: Same-day availability (vs. 2-3 days)
  2. Better Data Quality: Automated validation catches errors early
  3. Reduced Manual Work: 40 hours/month saved on manual processing
  4. Audit Compliance: Full audit trail for regulators

Long-Term Benefits (Q2-Q3 2026)​

  1. Advanced Analytics: Self-service SQL queries, custom dashboards
  2. Scalability: Platform handles 10x data growth without redesign
  3. Cost Efficiency: Serverless architecture (pay-per-use)
  4. Innovation: Foundation for ML/AI use cases

Risks & Mitigation​

What Could Go Wrong​

RiskImpactMitigation
Data Quality IssuesIncorrect reportsAutomated validation + quarantine, manual review process
Timeline SlipDelayed benefitsPhased rollout, MVP first
User AdoptionLow usageTraining program, change management
Technical IssuesService disruptionMonitoring, automated alerts, run isolation (safe reruns)

Overall Risk​

How You Can Help​

During Build (Weeks 1-8)​

  1. Provide Requirements:

    • Finance: Confirm reporting requirements
    • Operations: Confirm data quality thresholds
    • Business: Confirm analytics needs

  2. Review & Approve:

    • Finance: Gold layer schema (Week 4) - Task 2: Structure Design
    • Legal: Security controls (Week 4)
    • All: User acceptance testing (Week 8)

  3. Stay Informed:

    • Weekly status updates (Friday email)
    • Monthly stakeholder meeting (first Monday of month)

During Rollout (Weeks 9-12)​

  1. Participate in Training:

    • Operations: Quarantine review process (Week 10)
    • Analysts: SQL/Athena training (Week 10)
    • All: Platform overview (Week 11)

  2. Test & Validate:

    • Finance: Validate month-end reports (Week 11)
    • Operations: Practice quarantine review (Week 11)
    • All: User acceptance testing (Week 11)

  3. Go-Live Support:

    • Be available during first production run (Week 12)
    • Report any issues immediately

Timeline Summary​

DateMilestoneYour Involvement
Week 2Requirements ReviewReview & approve requirements
Week 4Schema ApprovalFinance: Approve Gold schema
Legal: Approve security
Week 8UATTest platform, validate reports
Week 10TrainingAttend training sessions
Week 11Final TestingValidate reports, practice processes
Week 12Go-LiveSupport first production run

Communication Plan​

Weekly Updates​

  • Friday Email: Status update, progress, blockers
  • Format: Brief summary, key metrics, next steps

Monthly Meetings​

  • First Monday: Stakeholder meeting (30 min)
  • Agenda: Progress, risks, decisions needed

Ad-Hoc​

  • Alerts: Immediate notification if critical issues
  • Slack: #data-platform channel for questions

Questions & Support​

General Questions​

Role-Specific​

  • Finance: Contact Finance Controller
  • Operations: Contact Data Quality Lead
  • Legal: Contact Data Platform Lead
  • Business: Contact Domain Analyst

Escalation​

  • If urgent: Contact Data Platform Lead directly
  • If blocked: Raise in weekly stakeholder meeting

Next Steps​

  1. This Week:

    • Review this document
    • Identify your team's requirements
    • Confirm availability for review sessions

  2. Next Week:

    • Attend requirements gathering session (if applicable)
    • Review architecture document (if interested)
    • Submit questions/concerns

  3. Ongoing:

    • Attend weekly status updates
    • Participate in monthly stakeholder meetings
    • Provide feedback as platform evolves

We're here to help​

Best regards, [Name] Data Engineering + Business Stakeholders

Resources​

Task 5 Documentation​

Task Documentation​

Submission Documentation​

© 2026 Stephen Adei•CC BY 4.0