Consulting

Accelerate your data quality program with hands-on expertise.

Perfect Data Consulting helps teams define monitoring coverage, build rule libraries, establish ownership, and reduce recurring data defects—fast. We combine practical operating model design with implementation support.

Faster time-to-value Audit-ready evidence Role clarity Measurable improvement
Typical engagement outcomes

In weeks, not quarters: prioritized monitoring coverage, a functioning scan cadence, and a clear ownership model.

Deliverable
Coverage map
Deliverable
Rule set
Deliverable
Cadence
Deliverable
KPIs

Consulting offerings

Practical services designed to complement the platform and your team’s realities.

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Data Quality Assessment

Quickly identify high-impact breakpoints and establish a baseline—what’s failing, where, and why.

  • Top failure modes and impact map
  • Prioritized monitoring backlog
  • Recommended ownership model

Rule Library Build

Build an initial rule set that covers critical reports and datasets—then validate schedules and alert routing.

  • Rules for critical domains
  • Thresholds and severity mapping
  • Cadence aligned to operations

Governance & Operating Model

Establish roles, workflow, and cadence so monitoring results translate into fixes—not recurring noise.

  • Roles: analyst, fixer, executive
  • Triage and escalation workflow
  • Monthly KPI and trend reviews

Remediation Acceleration

Convert recurring issues into root-cause fixes by coordinating data owners, technology teams, and governance stakeholders.

  • Root cause identification
  • Fix ownership and tracking
  • Verification and recurrence reduction

Implementation & Integration

Hands-on support to connect data sources, configure scheduling, and integrate notifications into your workflow.

  • Environment setup guidance
  • Notification routing patterns
  • Operational runbook creation

Enablement & Training

Train analysts and fixers to write high-quality rules, triage efficiently, and run the governance cadence.

  • Rule writing best practices
  • Severity and triage workshops
  • Executive KPI reporting
Engagement approach
We prioritize speed and sustainability: deliver immediate monitoring coverage, then build the operating model so your team can run it independently.

Typical engagement phases

A straightforward path from discovery to durable operations.

1) Discovery and scope
Confirm objectives, critical reports, domains, and stakeholders.
2) Build monitoring
Develop rules, set schedules, and configure routing.
3) Operationalize
Stand up triage workflow, ownership, and cadence.
4) Improve and expand
Reduce recurrence and expand coverage based on KPI trends.

What we’ll ask for

To move quickly, we typically request:

  • List of critical reports and key stakeholders
  • Sample data dictionaries / business definitions (if available)
  • Access to reporting stores or staging environments (as permitted)
  • Current incident examples (broken reports, reconciliations, issues)
  • Preferred cadence for triage and KPI reviews

FAQ

Common questions about consulting engagements.

Do you provide “done-for-you” rule development?

Yes. We can build an initial rule library and then enable your team to expand and maintain it.

How long is a typical engagement?

It varies by scope, but many teams start with a short assessment and an initial monitoring build, then expand coverage over time.

Can you help with regulated reporting and audit evidence?

Yes. The framework emphasizes repeatable monitoring and durable evidence to support governance and audit needs.

How do you work with internal data owners and IT teams?

We focus on clarity and momentum: define ownership, set expectations, and coordinate fixes so issues stop recurring.

Ready to accelerate your data quality program?

We’ll identify your highest-impact monitoring opportunities and propose a practical rollout plan.