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Core Module 4

Data Process Management

Map, Monitor, and Govern Every Data Process
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Under the DPDPA, 2023, every action taken on Personal Data — collecting it, storing it, using it internally, sharing it with a partner, or disposing of it — constitutes a 'processing activity,' and each one carries legal obligations around purpose limitation, necessity, and retention.

Data Process Management brings structure, visibility, and control to this often-invisible layer of organisational activity.

What it does
Creates detailed, process-level maps of data flows tracing personal data from the moment of collection, through storage and internal use, to sharing with third parties, and eventual deletion or archival
Enforces purpose limitation by continuously checking whether a given processing activity remains aligned with the specific purpose disclosed to and consented to by the Data Principal
Automates data retention and deletion scheduling, ensuring personal data is not retained beyond what is necessary for the stated purpose
Manages change control for new or modified processing activities, requiring review and approval before a new use case for existing data goes live
Integrates directly with real-time consent status — any processing activity lacking valid, current consent is automatically flagged or blocked before it proceeds
Maintains a detailed activity log for every processing action, supporting both internal governance reviews and external audit requirements
How it works in practice

When a new business process is proposed — say, a marketing team wants to use existing customer data for a new personalised campaign — Data Process Management requires that process to be documented, mapped to a specific purpose, and checked against existing consent records before it can be activated. If consent doesn't cover the new purpose, the system flags the gap and can trigger a fresh consent request through Consent Era's collection workflows.

Why it matters

Regulatory frameworks like the DPDPA are built around the principle that consent is purpose-specific, not blanket permission. Data Process Management makes purpose limitation and retention discipline operational rather than aspirational — turning policy into practice, the difference between having a data governance policy on paper and having one that is actively enforced.

Map your data processes today

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