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Data Engineering

Event Registration Data Integration Architecture

A data integration case study focused on turning event registration and attendance data into clean CRM, marketing automation, segmentation, and reporting workflows.

What this demonstrates

Data Integration
CRM
SFMC Journeys
Analytics
Salesforce CRM
Salesforce Marketing Cloud

Event registration data integration flow

Conceptual visual overview

This is a conceptual representation of the architecture or workflow, not a full production diagram.

Data pipeline to activation

Customer data moving toward usable business workflows

Source Systems

Salesforce CRMWeb formsEvents

Data Pipelines

APIsETL / ELTQuality checks

Warehouse / CDP

BigQuerySnowflakeData Cloud

Segmentation

ProfilesConsentAudiences

Activation

HightouchSFMCJourneys

Reporting

DashboardsCampaign KPIsFeedback

Problem

When registration, attendance, consent, and campaign engagement are disconnected, teams lose visibility into participant behavior and struggle to automate useful follow-up.

Approach

Designed a flow that normalizes event registration data, maps it to CRM and subscriber profiles, preserves consent signals, and produces audience and reporting datasets for follow-up campaigns.

Architecture

The approach stages form and event data, reconciles participant identity against CRM/subscriber records, applies validation and consent rules, and publishes downstream datasets for Salesforce Marketing Cloud journeys and analytics.

Tools

Salesforce CRM
Salesforce Marketing Cloud
SQL
Web Forms
Automation Studio
Dashboards

Outcome

  • Improved handoff between event operations, CRM, and marketing automation
  • Reduced manual spreadsheet-based audience preparation
  • Created cleaner reporting around registration, attendance, and follow-up
  • Supported more relevant post-event journeys and segmentation

Lessons learned

  • Event data is most valuable when it is modeled as a lifecycle signal, not a one-time list.
  • Follow-up automation improves when registration, attendance, and CRM context are connected early.

Related work

More case studies with similar architecture patterns.

Data Engineering

Data Engineering Pipeline for CRM/CDP Activation

Designed data flows, models, and activation patterns that prepare customer profile data for segmentation, campaigns, CRM use cases, and CDP activation.

Data Pipelines
Segmentation
CRM/CDP Activation
SQL
BigQuery
Snowflake
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