Data Governance / Retention

Data Retention Schedule

CA Nikhil Gupta·May 2026·4 min readData Governance / Retention

Storage is not free: every retained record expands breach, discovery and misuse exposure.

Quick View

Decision

Set deletion triggers at field and system level instead of writing ‘retain as required by law.’

First action

List record categories.

Core evidence

Retention schedule.

Main warning

One period for all data.

Why It Matters

The final Digital Personal Data Protection Rules, 2025 were notified on 14 November 2025 with phased commencement. As of 25 June 2026, organisations should distinguish provisions already commenced from operational duties scheduled for later dates, while continuing to comply with the IT Act, CERT-In directions and sectoral rules already in force.

The Act requires erasure when consent is withdrawn or the specified purpose is no longer served, unless retention is necessary for law, when the relevant provisions commence.

Tax, company, employment, AML, insurance, litigation and sectoral requirements can justify different periods. One universal seven-year rule is rarely defensible.

Control Framework

AreaWhat to establishOperating rule
RecordData category and system.Identify copies.
PurposeActive use and legal basis.Stop when ended.
PeriodEvent-based or fixed retention.Cite source.
DeletionPrimary, archive, backup and vendor.Verify completion.

Action Checklist

  1. List record categories.
  2. Collect statutory retention rules.
  3. Define business justifications.
  4. Create deletion triggers.
  5. Add litigation hold process.
  6. Test vendor and backup deletion.

Practical Example

A company deletes a closed user from its main database but retains identifiable CRM exports and support attachments indefinitely.

Evidence to Keep

  • Retention schedule.
  • Legal-source register.
  • System configuration.
  • Deletion tickets.
  • Vendor certificates.
  • Litigation hold log.

Warning Signs

  • One period for all data.
  • No backup treatment.
  • Retention with no legal source.
  • User deletion only in front end.
  • No owner for legacy archives.

Detailed Review

Privacy governance should connect the personal data, individual, purpose, collection point, system, owner, recipient, access role, retention trigger and incident dependency. A policy that cannot be traced to this chain is difficult to operate.

Create a dated legal matrix rather than one status label. Record the DPDP provision, commencement date, present readiness action, current IT or sectoral obligation and the evidence owner.

Design controls in the product and system. A written rule cannot stop an SDK from firing, a shared folder from exposing payroll, or a vendor from retaining deleted users unless technology and operations enforce it.

Evidence should be generated during normal work: versioned notices, event logs, access approvals, request tickets, deletion reports, vendor registers, incident chronologies and management decisions.

Use proportionate identity and security checks. Excess verification creates more personal data, while weak verification can expose another person’s records or permit account takeover.

Every product release should trigger a privacy change review covering new fields, vendors, permissions, purposes, regions and retention.

Management reporting should show overdue evidence and control failures, not only the existence of policies.

Control Test

Test the control using a real user journey from collection to deletion. Capture the notice shown, data stored, vendors called, employees with access, retention period and response if the user withdraws or complains.

Run a negative scenario: the vendor is breached, the user is a child, the employee exits, the phone is stolen, the data was inaccurate or the regulator asks for proof. Record which control fails.

Check that system records and public wording agree. Product forms, privacy notice, CRM fields, SDK behaviour, vendor contracts and support scripts should describe the same processing.

Assign a named owner and internal deadline for every gap. A risk register without funded action and closure evidence becomes an archive of known failures.

Retain the rejected alternatives and decision basis. This is especially important where the law is in phased commencement or a proportionate technical method is selected.

Escalation Route

Start with the system owner, privacy or security owner and the documented data flow. Preserve records before making changes, and separate current statutory reporting from future DPDP readiness.

For a breach, financial fraud, rights dispute, children’s-data issue or regulated-sector event, involve qualified legal, cyber, forensic and sector specialists and use the applicable official reporting or grievance channel.

Management Review

Management should record the risk owner, affected data population, financial or operational impact, current legal duty, future DPDP milestone and funded remediation date. A privacy register without accountable closure is only a list of known gaps.

The control should be tested with evidence rather than self-certification. Use screen recordings, exported logs, access reports, deletion output, vendor responses, tabletop minutes or complaint acknowledgements to prove that the workflow operates as designed.

Where several laws apply, maintain one incident or request chronology but separate each legal trigger and deadline. CERT-In, RBI, UIDAI, IRDAI, police, contractual and DPDP processes should not be collapsed into one generic notification decision.

Frequently Asked Questions

Can data be kept forever for analytics? â–¼
Indefinite retention requires a defensible purpose and controls.
What overrides deletion? â–¼
Applicable legal retention and valid holds can.
Should backups be deleted immediately? â–¼
Document practical backup lifecycle and prevent active reuse.
How often should the schedule be reviewed? â–¼
At least annually and when laws, systems or purposes change.