💻 Systems — Understand where data is generated and stored

This section outlines the organization’s system architecture and data landscape. It connects business operations to data sources, enabling a clear understanding of how information flows across the company.

🧩 Systems Inventory (Examples)

System Type	Nome	Purpose
CRM	Salesforce, HubSpot	Manage customers & sales pipeline
ERP	SAP, Oracle	Finance & operations
Marketing tools	Google Ads, Meta Ads	Acquisition & campaigns
Product analytics	GA4, Amplitude	User behavior tracking
Data warehouse	BigQuery, Snowflake	Centralized data storage

🔄 2. Data Architecture Flow

Where is data generated?

Describe where raw data is created in the business.

Examples:

Website interactions
CRM inputs
Marketing campaigns

Where is the data stored?

Identify systems where data is stored.

Examples:

CRM systems
ERP systems
Data warehouse

How does data move between systems?

Describe how data is transferred between tools and platforms.

Examples:

APIs
ETL/ELT pipelines
Manual exports

Where transformations happen?

Identify where data is processed into usable formats.

Examples:

Data warehouse
ETL tools
BI layer