Understand where personal data lives, why it exists and where it moves.
Build a connected view of personal data across systems, applications, teams, vendors and processing activities.
Discover · Map · Understand · Maintain
What is privacy data mapping?
Privacy data mapping is the process of identifying what personal data an organisation processes, where that data is stored, why it is used, and how it moves between systems, teams and vendors. ConsentCenter Data Mapping is being built around this picture — the focus areas below reflect current product direction, and detailed capabilities will be published as the build is finalised.
Systems Overview
42
Mapped Systems
11
Data Categories
18
Third Parties
Salesforce
Name, Email, Phone, Customer ID
HubSpot
Email, Marketing Preferences
Snowflake
Aggregated customer data
Zendesk
Name, Email, Support History
An illustrative view of a connected data landscape
The example below shows the kind of system-level picture Data Mapping is designed to surface — sample data only.
CRM · Salesforce
Illustrative example
- Data
- Name · Email · Phone · Customer ID
- Purpose
- Customer management
- Owner
- Sales Operations
- Connected
- 4 systems
Tap a system to see an illustrative example of what Data Mapping surfaces.
Data Mapping is ConsentCenter's newest product and is still being finalised. The focus areas below describe current product direction rather than a complete list of shipped capabilities.
Discover
Identify the systems, applications and vendors across the organisation that are likely to hold personal data.
Map
Build a structured view of how that data moves between systems, teams and third parties.
Understand
See the purpose behind each processing activity and who owns it, in language a privacy team and the business both understand.
Maintain
Keep the picture current as systems, vendors and processing activities change, rather than a static point-in-time exercise.
Frequently Asked Questions
Ready to see Data Mapping in action?
Know where personal data lives and how it moves.