DPDP-Compliant Personal Data Removal – FAQ

There are many real-life situations where personal data removal must be carried out. A single Data Principal request for erasure under the Digital Personal Data Protection Act, 2023 (DPDP Act) can instantly trigger compliance obligations for an organization.

When an organization is required to delete personal data, several challenges arise—ranging from defining data retention and deletion schedules, locating personal data across systems, and orchestrating and automating the deletion process.

Under the DPDP Act, organizations (Data Fiduciaries) must ensure that personal data is retained only for as long as it is necessary to fulfill a lawful purpose and must be erased once that purpose is achieved or consent is withdrawn, unless retention is required by law.

Data retention refers to storing personal data for legitimate purposes such as:

• Conducting day-to-day business operations
• Fulfilling legal or regulatory obligations
• Resolving disputes or enforcing contracts

Under the DPDP Act, personal data may only be retained for the purpose for which it was collected and must be deleted once that purpose is no longer served.

Unlike GDPR, the DPDP Act does not prescribe fixed retention periods. Instead, it places responsibility on the Data Fiduciary to define and justify retention timelines based on:

• Business necessity
• Consent validity
• Applicable legal obligations

Retention periods are typically defined at the processing activity or data category level.

DPDP compliance begins with implementing Personal Data Lifecycle Management, covering:

• Collection
• Use
• Storage
• Retention
• Deletion

If an organization processes large volumes of personal data, automation becomes critical to reduce manual effort and minimize compliance risk.

Personal data must be removed when:

• The specified purpose is fulfilled
• Consent is withdrawn by the Data Principal
• Retention is no longer legally required

Manual deletion processes are error-prone and do not scale—especially in complex IT environments.

Several factors contribute to the complexity of automating data removal under the DPDP Act:

• Principle-Based Regulation: The DPDP Act defines what must be done, not how to operationalize deletion. Organizations must design their own compliant processes.
• Complex IT Environments: Most enterprises operate hybrid environments involving cloud applications, on-premise systems, and third-party SaaS platforms.
• Diverse Data Structures: Personal data exists as structured data (databases), semi-structured data (JSON/XML), and unstructured data (emails, documents, call recordings, images, videos).
• Dynamic Retention Timelines: Each Data Principal’s data may have a different deletion date depending on when consent was provided or withdrawn.

The Data Protection Officer (DPO) or designated compliance lead must ensure that personal data is processed only with:

• Valid consent
• A lawful purpose permitted under the DPDP Act

Once consent is withdrawn or the purpose is fulfilled, continued processing becomes unlawful unless retention is mandated by another law.

Failure to delete personal data in a timely manner may result in:

• Non-compliance
• Regulatory penalties
• Reputational damage

Although retention policies are often defined as fixed durations (e.g., “retain for 3 years”), the actual deletion date must be calculated dynamically for each personal data set.

This is because:

• Consent is given at different times
• Business relationships start and end at different moments
• Legal obligations vary across processing activities

Each personal data set represents a Data Principal, and its deletion date is tied to the business process that generated it.

Consider a home loan process in a bank. When a customer (Data Principal) enters into a home loan agreement with a bank (Data Fiduciary), their personal data is processed for multiple purposes, including:

• Customer onboarding and account creation
• Credit risk assessment
• Regulatory reporting
• Financial and internal reporting

Each of these processing activities:

• Uses different systems
• Has a different purpose
• Relies on different lawful bases
• Requires different retention periods

During the active contract period, personal data is lawfully processed for:

• Loan servicing
• Billing and repayment tracking
• Customer communication

After contract expiry or termination, once the loan is closed:

• Some personal data must be deleted immediately (e.g., marketing data, customer profiling)
• Other data must be retained for legally mandated periods (e.g., financial or audit records)

After the legally required retention period expires, all remaining personal data must be permanently removed. Any further processing beyond this point would violate the DPDP Act.

To implement DPDP-compliant deletion, organizations must maintain:

Data Retention Schedule

Defines:

• How long personal data may be retained
• The legal or business justification

Data Removal Schedule

Defines:

• When processing must stop
• When and where data must be deleted

A data removal schedule should include:

• Data Principal identifiers
• Processing purposes
• Systems and storage locations
• Data categories and types
• Deletion deadlines

Once an organization establishes:

• Accurate data inventories
• Purpose-based retention policies
• Dynamic removal schedules

It can automate downstream deletion processes across systems.

However, automation is only effective if technical data location information is included—without knowing where data resides, deletion cannot be reliably executed or demonstrated.

Under the DPDP Act, personal data removal is not optional—it is a legal obligation tied to purpose limitation and consent withdrawal.

Organizations that invest in:

• Automated lifecycle management
• Clear retention and removal schedules
• System-level data visibility

will be better positioned to demonstrate compliance, reduce regulatory risk, and build trust with Data Principals.