Gold by MangoMagic

CRO · Toolkit · Advanced · Saves 70+ hours

Data Quality Management System

A complete system for maintaining data quality across revenue systems.

Get coached on this — free

What's included

  • Data quality standards
  • Automated validation rules
  • Enrichment strategies
  • Hygiene workflows
  • Data stewardship model
  • Quality metrics and monitoring

Best used when

  • Addressing data quality issues
  • Setting up data governance
  • Implementing data hygiene
  • Measuring data health

The template

The Template

DATA QUALITY STANDARDS

Data Quality Dimensions

Dimension Definition Target
Completeness Required fields filled >95%
Accuracy Data matches reality >98%
Consistency Same across systems 100%
Timeliness Updated recently <90 days
Uniqueness No duplicates <2% dupes

Field-Level Requirements

DATA QUALITY STANDARDS BY OBJECT

CONTACT RECORDS:
Required fields:
☐ First name (100%)
☐ Last name (100%)
☐ Email (100%)
☐ Company (100%)
☐ Title (95%)
☐ Phone (80%)

Validation rules:
☐ Email format valid
☐ Phone format valid
☐ No test/fake data
☐ Company matches account

ACCOUNT RECORDS:
Required fields:
☐ Account name (100%)
☐ Industry (95%)
☐ Employee count (90%)
☐ Revenue range (85%)
☐ Website (95%)

OPPORTUNITY RECORDS:
Required fields:
☐ Opportunity name (100%)
☐ Amount (100%)
☐ Close date (100%)
☐ Stage (100%)
☐ Primary contact (100%)
☐ Next step (95%)

AUTOMATED VALIDATION

Validation Rule Examples

VALIDATION RULES

CONTACT EMAIL:
IF Contact.Email = NULL
AND Contact.LeadSource != "Referral"
THEN Block Save

OPPORTUNITY AMOUNT:
IF Opportunity.Amount = NULL
OR Opportunity.Amount = 0
THEN Block Save

CLOSE DATE:
IF Opportunity.CloseDate < TODAY()
AND Opportunity.Stage != "Closed"
THEN Block Save

REQUIRED FIELDS BY STAGE:
IF Opportunity.Stage = "Proposal"
AND (Contact.Title = NULL
OR Opportunity.NextStep = NULL)
THEN Block Stage Advancement

Data Hygiene Workflows

Workflow Trigger Action Frequency
Missing data Create/update Alert owner Real-time
Stale records 90 days no activity Flag for review Weekly
Duplicate check New record Merge prompt Real-time
Bounce handling Email bounce Mark invalid Daily

ENRICHMENT STRATEGY

Enrichment Workflow

DATA ENRICHMENT PROCESS

ON RECORD CREATE:
1. Check enrichment vendor for match
2. Auto-populate available fields
3. Flag low-confidence matches
4. Queue for manual review if needed

SCHEDULED REFRESH:
Frequency: Monthly
Scope: Active accounts and contacts
Fields: Firmographic, technographic

ENRICHMENT PRIORITIES:
Tier 1 (immediate): Target accounts
Tier 2 (weekly): Active opportunities
Tier 3 (monthly): All others

Enrichment Field Mapping

Field Source Confidence Auto-Update
Employee count ZoomInfo High Yes
Industry Clearbit High Yes
Revenue ZoomInfo Medium Review
Technologies BuiltWith High Yes
Phone Apollo Medium Review

DATA QUALITY MONITORING

Data Quality Dashboard

DATA QUALITY SCORECARD

OVERALL SCORE: _____/100

COMPLETENESS:
Contacts: ____%
Accounts: ____%
Opportunities: ____%

ACCURACY:
Email validity: ____%
Phone validity: ____%

DUPLICATES:
Contact duplicates: ____%
Account duplicates: ____%

TIMELINESS:
Records updated <90 days: ____%
Stale accounts: _____

TREND: ↑/↓/→

Frequently asked questions

What is the Data Quality Management System?

A complete system for maintaining data quality across revenue systems.

Who is the Data Quality Management System for?

It is built for CROs and their teams working on Revenue Operations. The AI coach adapts it to your company, stage, and goals.

How long does the Data Quality Management System take to use?

It saves roughly 70+ hours versus building from scratch. Our AI coach can tailor the toolkit to your situation in minutes, then hand you a step-by-step plan.

Is the Data Quality Management System free?

Yes. You can read the full toolkit and start getting coached through it for free. Sign in to save your tailored version and track your next steps.

How does the AI coach help with the Data Quality Management System?

The coach teaches you the framework, asks a few questions about your business, tailors the toolkit to you, and gives you measurable next steps to execute.