Where your credit union's best analytics go to die.
Your credit union invests in data. We make sure that investment drives accountable action.
Most platforms stop at analytics. We close the loop.
Credit unions spend $50K–$150K annually on analytics tools. Reports get built. Dashboards get launched. And then... nothing happens. We call this the Insight Graveyard.
Reports get built. Dashboards get launched. And then nothing happens. Insights die in slide decks, email threads, and quarterly reviews.
When you ask "how many decisions did analytics drive last month?" nobody can answer. There's no system connecting insights to actions.
Credit unions need enterprise-grade analytics but can't afford $150K data scientists or $500K BI implementations.
Compliance teams spend weeks assembling evidence from scattered reports and emails for every examination.
Decision Pipelines don't just show you what's happening. They create a tracked, assigned, time-bound decision stream that closes the loop from data to action to measured result.
The Decision Pipeline architecture transforms analytics from static reporting into accountable action. Every insight routes to an owner, every decision has an SLA, and every outcome is tracked.
Full data exploration with drill-down capabilities and chart-level insights.
Print-ready strategic overview with status indicators and recommendations.
Natural language queries with context-aware, semantically governed responses.
Machine-readable contracts ensuring consistent definitions and API governance.
Domain experts modify thresholds, add decision types, and adjust escalation rules without developer involvement. Every change is auditable and versioned.
# Decision Pipeline Configuration decision_types: - id: delinquency_intervention trigger: "delinquency_rate > 1.5%" owner: collections_manager sla: 24_hours escalation: - role: collections_supervisor window: 8_hours - role: cro window: 24_hours actions: - early_contact_campaign - payment_plan_offer - account_review
The issue isn't a lack of analytics capability. It's that traditional tools stop short of where value is realized: the decision itself.
Each application implements the full four-layer architecture — from interactive dashboards to AI agents to semantic governance. Pre-built for credit union data models.
Leaders at mid-market credit unions describe the transformation from static reporting to accountable decision-making.
We went from 20+ hours of manual reporting per week to real-time dashboards with clear ownership. Our board presentations changed overnight.
The Decision Pipeline forced us to assign owners to every insight. Within 90 days, our decision completion rate went from 30% to 85%.
NCUA exam prep used to take us six weeks. Now it takes five days. The regulatory compliance module alone justified the entire platform.
DataVisuals was founded on a simple observation: credit unions invest heavily in analytics, then watch as insights die in slide decks and email threads. After three decades in data architecture — at Miller Brewing, Harley-Davidson, and five years in Silicon Valley serving financial services — we kept seeing the same pattern.
Organizations invest in beautiful dashboards, generate impressive reports, and then nothing changes. The problem isn't the analytics. It's the accountability gap between insight and action. So we built something different.
Every metric, every threshold, every decision workflow was designed specifically for how credit unions actually operate. This isn't a generic BI tool adapted for financial services — it's a Decision Pipeline platform built from the ground up for credit unions in the $50M–$500M range.
See how the Decision Pipeline platform transforms your credit union's analytics from static reports into accountable outcomes. 20 minutes with real credit union data — that's all we need.