ChrisCruz.ai Blog
Operational Intelligence September 15, 2025 10 min read

DDA Going Primary Dashboard Strategy: The Real-Time Command Center

Dashboards aren't just tools—they are the nerve center of DDA Going Primary, protecting data integrity, surfacing latency risks, and aligning executives on the sprint to production readiness by December 1.

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Christopher Manuel Cruz-Guzman
System Thinking Companion Play

Executive Summary

Three mission-critical dashboards—Data Consistency, Event Store Reconciliation, and Latency—anchor the DDA Going Primary launch. They synchronize fidelity between SOR, ODS, and external interfaces while driving executive alignment and customer-centric agility. Production readiness hinges on resolving Transaction History (TH) API gaps, accelerating QA across dual clusters, and securing cross-system integration before December 1.

Our objective: turn fragmented telemetry into a unified command center that pairs real-time visibility with actionable alerts, ensuring every overdraft, decline, or fraud signal is captured, reconciled, and resolved before it hits the customer experience.

Key Insights

Strategic Anchors

  • • Dashboards operate as the program's nerve center, mandating data integrity and executive focus.
  • • Latency, data quality, and reconciliation visibility form the foundation for launch readiness.
  • • Cross-system integration keeps SOR, ODS, and external interfaces in fidelity.

Operational Realities

  • • Production readiness by December 1 demands urgent resolution of TH API issues and QA across both clusters.
  • • Executive prioritization is the lever for resourcing, dependency management, and capacity planning.
  • • TH API publishing failures (Sep 25–Oct 1) remain the gating blocker for end-to-end latency assurance.

Detailed Breakdown

Dashboard 1 — Data Consistency

Provides comprehensive, real-time visibility into data quality, system performance, and operational health across the DDA infrastructure.

Key Metrics

  • • Data Quality: 99% accuracy
  • • System Performance: 1-second SLA
  • • Operational Health: 99.99% uptime
  • • Predictive insights: overdraft trends, declined transactions, fraud patterns

Data Plumbing

  • • ODS integrations with GATCHT3, ESDD, FAP, Transaction History API
  • • Tableau visuals with 14 days of detail and 2 years of trend data
  • • Real-time threshold alerts, weekly summaries, monthly executive digests

Deep dive: Atomic note — Data Consistency Signal Stack

Dashboard 2 — Event Store Reconciliation

Ensures producer and consumer parity by tracking total vs. reconciled events and latency impact across Cards, DDA, and shared metrics.

Visibility Threads

  • • Mismatch detection for published vs. consumed events
  • • Latency impact translation to operational outcomes
  • • Continuous validation across Cards, DDA, Event metrics

Execution Moves

  • • Align on reconciliation logic, thresholds, and business impact metrics
  • • Develop matching engine for counts and timestamps
  • • Automate alerting for mismatches and latency breaches
  • • Validate results with stakeholders before promotion

Deep dive: Atomic note — Reconciliation Control Plane

Dashboard 3 — Latency

Provides real-time insight into transaction processing speeds and API responsiveness, with heightened focus on TH API remediation.

Targets & Signals

  • • Sub-500ms response for high-priority APIs
  • • 1-second SLA enforcement across services
  • • Real-time alerting on spikes or degradation
  • • Dual-cluster coverage post-TH API fixes

Critical Actions

  • • Prioritize Transaction History API instrumentation
  • • Resolve two remaining TH API fields with SOR (card number, date)
  • • Aggregate metrics into ODS; validate via JMeter load tests
  • • Launch post-resolution with enhanced logging

Deep dive: Atomic note — Latency Readiness Tracker

Implementation Guide

Phase 1 — Foundation (Weeks 1–2)

  • • Partner with business teams to finalize KPIs, visualization requirements, and reconciliation thresholds.
  • • Pipe ODS integrations (GATCHT3, ESDD, FAP, TH API) and secure data access for Cards, DDA, and event metrics.
  • • Align on reconciliation logic and articulate business impact models for latency scenarios.

Phase 2 — Build & Model (Weeks 3–4)

  • • Construct Tableau dashboards with 14-day detail and 2-year trends; develop matching engine for event reconciliation.
  • • Instrument latency emitters, aggregate metrics into ODS, and design visuals for SLA breaches.
  • • Translate latency delays into operational impact narratives to feed executive reporting.

Phase 3 — Launch & Scale (Weeks 5–6)

  • • Configure threshold alerts, weekly summaries, and monthly digests across dashboards.
  • • Execute API, integration, and error-handling QA, plus JMeter load tests on both clusters.
  • • Resolve TH API field gaps, deploy with monitoring, and document lessons in Ankita's epic.

Urgent Priorities

  • ☑ Resolve the two outstanding Transaction History API field issues.
  • ☑ Expedite QA and deployment for old/new cluster dashboards.
  • ☑ Open the delivery epic and define efforts with Ankita.
  • ☑ Initiate capacity planning with the Ontario team.
  • ☑ Schedule Vince API transition immediately after new-cluster readiness.

Stakeholder Alignment

Sustained executive visibility keeps urgency high and unlocks resources:

  • • Maintain regular collaboration cadences with business stakeholders.
  • • Confirm KPI definitions, visualizations, and alert thresholds jointly.
  • • Secure shared access to dashboards for executive sponsors and review metrics together.

Scenario Spotlight

When TH API publishing failures (Sep 25–Oct 1) caused latency blind spots, teams lost the ability to verify overdraft declines in real time. The fix sequence—field remediation, emitter instrumentation, and dual-cluster JMeter validation—became the blueprint for every subsequent API transition, including the upcoming Vince cutover.

Cross-link: explore automation parallels in AI-Powered Virtual Assistant Management Framework for alert routing patterns.

Testing & Validation

Tooling

  • • JMeter for load testing across latency scenarios.
  • • Comprehensive QA suites covering latency, data consistency, and ingestion integrity.

Coverage

  • • Retry logic and event gap validation.
  • • Performance behavior under sustained load.
  • • Error-handling resilience during reconciliation.

Platform Capabilities

Feature Details
Visualization Tableau dashboards across data consistency, reconciliation, and latency.
Data Retention 14-day granular views plus 2-year trend archives.
Alerting Real-time thresholds supplemented by weekly and monthly summaries.
Data Sources GATCHT3, ESDD, FAP, TH API, ODS, Cards, and Event metrics.
Future Roadmap Machine learning anomaly detection for fraud and pattern detection.

Dependencies

Dependency Owner Status / Action
TH API Field Fixes SOR Team 2 of 4 fields still pending
Tableau Resourcing Antoine Prioritization meeting required
Old Cluster Epic PM (Ankita) Scope definition and story sizing in progress
Ontario Capacity Discussion DevOps Lead Pending scheduling
Vince API Cutover Platform Team Scheduled after new cluster readiness

Milestones

Target: Production readiness by December 1.

  • Weeks 1–2: Finalize KPIs, complete data plumbing, and close TH API fixes.
  • Weeks 3–4: QA dashboards in old and new clusters; validate reconciliation outputs.
  • Weeks 5–6: Activate in production, confirm monitoring, and transition to Vince API.

Reflection Questions

  1. Where do latency blind spots still exist once TH API is remediated?
  2. Which reconciliation mismatches translate into the highest customer impact?
  3. How can executive reviews shift from reactive updates to proactive resource allocation?
  4. What automation opportunities emerge after machine learning anomaly detection is introduced?

Atomic Notes

Capture and share the core mechanics instantly with these atomic references:

Reflection & Next Moves

The dashboards under DDA Going Primary are more than visualization—they are our operational mandate for preemptive issue resolution, real-time alerting, audit coverage, and executive confidence.

Keep this playbook close, revisit the atomic notes during stand-ups, and treat the December 1 deadline as non-negotiable. The empire depends on it.

References & Footnotes

  1. Dashboards are the central monitoring framework for DDA Going Primary.
  2. Latency, data quality, and reconciliation are the foundational health signals.
  3. TH API publishing failures (Sep 25–Oct 1) currently block latency dashboard readiness.
  4. Full fidelity requires harmonization between GATCHT3, FAP, ESDD, and TH API inside ODS.
  5. CEO and executive sponsors have mandated readiness before customer rollout.