Privacy, made operational. Discover → Classify → Map → Consent → Evidence
iDiscover • Data Classification

Find the data.
Understand it.
Classify it.

iDiscover helps organisations build visibility into where personal and sensitive data exists, while Data Classification adds the context needed to govern it intelligently.

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  • Discover data across systems
  • Classify by sensitivity & context
  • Feed RoPA & risk workflows
Discovery workflow

Turn unknown data into governed data.

The value is not simply finding data. It is creating enough context around that data so the organisation can decide how it should be governed, retained, protected and documented.

01

Connect sources

Bring applications, repositories and business systems into the discovery scope.

02

Discover data

Identify where personal, sensitive and privacy-relevant information exists.

03

Classify & review

Apply categories, sensitivity levels and business context to discovered information.

04

Operationalise

Use the result to support RoPA, retention, risk review, consent and other privacy controls.

Two connected capabilities

Discovery tells you where. Classification tells you what.

The page should make this distinction immediately clear so buyers understand why both capabilities are needed.

iDiscover

Where does personal data live?

Build visibility into the systems, repositories and assets that contain data relevant to your privacy programme.

  • Discover data sources and repositories
  • Surface privacy-relevant assets
  • Build an enterprise data inventory
  • Flag items requiring review
Data Classification

What kind of data is it?

Add business and privacy meaning to discovered data so control decisions can be applied consistently.

  • Classify personal and sensitive data
  • Apply categories and sensitivity levels
  • Link data to business context
  • Support governance, retention and risk decisions
Classification model

Create a common language for data across the organisation.

The classification model can be configured around the organisation’s data types, sensitivity thresholds and governance needs.

Personal Data

Information relating to identifiable individuals and Data Principals.

Sensitive / High-Risk

Data that warrants stronger review, handling or control based on context.

Financial & Identity

Identity, account, transactional and other high-impact information.

Business Context

Purpose, owner, process and system context that makes classification actionable.

Enterprise data map

See data across the systems that actually hold it.

The visual story should communicate that privacy-relevant data may exist across CRM, ERP, HRMS, documents, portals and operational applications — not in one neat database.

iDiscover
+ Classification
CRM
ERP
HRMS
DMS
Connected privacy operations

Discovery is the beginning, not the end.

The strongest story is how iDiscover and Classification feed the rest of the privacy operating model.

  1. 01

    Discover

    Find privacy-relevant data across systems and repositories.

  2. 02

    Classify

    Understand sensitivity, category and business context.

  3. 03

    Map in RoPA

    Connect data to processing activities, purposes and systems.

  4. 04

    Evaluate Risk

    Identify activities that may need DPIA or risk assessment.

  5. 05

    Apply Controls

    Consent, retention, minimisation, encryption and other safeguards.

Start with visibility

You cannot govern data you cannot find.

See how iDiscover and Data Classification can create the data intelligence layer behind your privacy programme.

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