Data Analytics & Insights | Kaizen Data Consulting
Service

Data Analytics & Insights

Executive dashboards, automated reporting, and KPI frameworks that turn raw data into decisions—delivered with governance and speed.

Data quality raised 45% → 90%+ $80M+ cost avoidance identified 12+ hours/week saved via automation
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What You Get

Executive Dashboards

AWS QuickSight dashboards with row-level security and one source of truth.

  • KPI dictionary & definitions
  • Role-based access & RLS
  • Drilldowns & mobile views
QuickSightKPI DesignRLS

Reporting Automation

Automated schedules, anomaly alerts, and forecasting to stay ahead of risk.

  • Daily/weekly distributions
  • Anomaly detection & alerts
  • 12-week forecasting
AutomationAlertsForecasting

Data Quality & Governance

Quality checks, lineage, and controls—so leaders trust what they see.

  • Accuracy and freshness checks
  • Semantic layers & lineage
  • Audit-ready policies
DQLineageGovernance

Examples

Exec KPI Dashboard (Fortune 100 Healthcare)

Before: siloed spreadsheets; inconsistent KPIs.
After: one secure QuickSight dashboard with row-level security and shared definitions.
Outcome: 5+ departments aligned; ~12 hours/week reclaimed.

QuickSightRLSKPI Dictionary

Data Quality Uplift (Global Travel Program)

Before: accuracy ~45% across air, hotel, ground, and meals.
After: quality framework raised accuracy to 90%+; added VOC survey for hotel insights; automated reporting & training.
Outcome: enabled negotiations and identified $80M+ cost avoidance.

DQ FrameworkVOCAutomation

Proactive KPI Emails & Alerts

Before: manual weekly updates; reactive decision-making.
After: 7am KPI emails, anomaly alerts, and 12-week forecasts.
Outcome: earlier detection of issues; fewer missed targets.

SchedulesAnomalyForecasting

Process & Timeline

1. Discover (Week 1)
Goals, KPIs, data sources, access. Success criteria defined.
2. Design (Week 2)
KPI model, dashboard mockups, quality checks, schedule plan.
3. Build (Weeks 3–4)
Dashboards, automation, alerts, documentation.
4. Adopt (Weeks 5–6)
Pilot, iterate, training; handoff with runbooks.

FAQs

What access do you need?

Read-only access or sample exports are fine to start. We follow least-privilege and can work behind VPN/VPC.

Who owns the assets?

You do. Dashboards, code, and documentation are handed off at close with runbooks.

What tools do you use?

AWS QuickSight, Alteryx, Python, SQL, and GIS—selected based on business need and cost efficiency.

Ready to move from data to decisions?
Let’s scope a practical sprint—dashboards, automation, and adoption.