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Self-paced course5 Modules15 Lessons

Data Architecture for Revenue Operations

How to structure operational data so your CRM, pipeline, reporting, and forecasts are trustworthy, queryable, and scalable. Covers object models, field architecture, naming conventions, data governance, quality frameworks, reporting hierarchies, and integration patterns. The foundation every revenue team needs but rarely builds correctly.

Preview First Lesson Free

Also included with Pro membership — $299/mo

Course Modules

5 modules, 15 lessons

Module 1Free Preview

Data Model Fundamentals

Before you build anything, you need a coherent data model. This module covers the object graph, field architecture, and naming conventions that form the foundation of every reliable revenue operation.

3 lessons

Start →
  • Why data architecture determines operational capability
  • Object model design for B2B revenue
  • Field architecture and naming conventions
Module 2$249 Access

Reporting Infrastructure

Reports and dashboards are only as good as the architecture underneath them. This module covers how to design reporting hierarchies, dashboard layers, and metrics that produce trustworthy, actionable numbers.

3 lessons

  • Reporting hierarchy design
  • Dashboard architecture
  • Building metrics that don't lie
Module 3$249 Access

Data Quality & Governance

Data quality doesn't happen by accident. This module covers how to measure it, how to improve it, and how to build the organizational operating model that keeps it from decaying.

3 lessons

  • Data quality framework
  • Data governance operating model
  • Deduplication and enrichment strategy
Module 4$249 Access

Cross-System Integration Architecture

Revenue data lives across multiple systems. This module covers how to map system-of-record ownership, select the right integration patterns, and build ETL pipelines for analytics.

3 lessons

  • System-of-record mapping
  • Integration pattern selection
  • ETL/ELT for revenue operations
Module 5$249 Access

Scaling Data Operations

Data architecture that works at one scale breaks at the next. This module covers migration planning, multi-entity complexity, and the analytics maturity roadmap that takes you from spreadsheets to predictive models.

3 lessons

  • Data migration planning
  • Multi-entity and multi-currency data models
  • Analytics maturity roadmap

What You'll Learn

  • Design an object model that scales with your revenue motion
  • Build a field architecture with consistent naming and governance
  • Create relationships and reference architectures that reduce duplication
  • Implement data quality rules that catch problems before they compound
  • Structure reporting layers so dashboards are trustworthy and fast

Downloadable Resources

PDF worksheets and templates included with this course

Data Architecture for Revenue Operations — Complete Worksheet

PDF · ~420 KB

Download

Included in worksheet

Object model design templates
Field naming convention guide
Data quality scorecard
Reporting layer architecture blueprint

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