Data Accuracy & Quality
Plain English Translation
Under Section 8(3), organizations have a legal obligation to ensure personal data accuracy whenever that data is used to make a decision affecting the user or when it is disclosed to another entity. This means you cannot simply collect data and forget it; you must verify its completeness, accuracy, and consistency. These data accuracy requirements prevent scenarios where a user is unfairly denied a loan or service due to outdated or incorrect records. If you share data with a partner or use it for analytics that impact the user, you must validate its quality first.
Technical Implementation
Use the tabs below to select your organization size.
Required Actions (startup)
- Implement basic form validation (e.g., email format, phone number length) on the frontend.
- Use database constraints (NOT NULL, UNIQUE) to enforce basic data completeness.
- Manually review data before sharing with third parties.
Required Actions (scaleup)
- Deploy a data accuracy compliance tool to profile data quality periodically.
- Automate address verification or identity checks using third-party APIs.
- Establish data accuracy procedures for handling correction requests.
Required Actions (enterprise)
- Implement real-time data observability platforms to maintain data accuracy at scale.
- Automated remediation workflows for data flagged as inconsistent or incomplete.
- Machine learning models to detect and flag potential data accuracy anomalies.
Section 8(3) requires Data Fiduciaries to ensure the completeness, accuracy, and consistency of personal data if it is used to make a decision affecting the Data Principal or disclosed to another Data Fiduciary.
Implement appropriate technical measures such as data validation rules, regular updates, and verification processes before using the data for decisions affecting the Data Principal.
While not defined in detail, it implies data that is not missing essential fields required for the purpose and does not contain conflicting information across different systems.
The Act does not specify a frequency, but verification should occur before the data is used for decision-making or disclosed to another entity to comply with Section 8(3).
Procedures should include input validation, periodic data quality audits, and mechanisms for Data Principals to exercise their right to correction under Section 12.
If data is found to be inaccurate, it should be corrected. Section 12(2) specifically mandates the Data Fiduciary to correct inaccurate or misleading personal data upon request.
Failure to observe the obligations of the Act, including data accuracy under Section 8(3), can attract penalties up to INR 50 crore under the general penalty provision in the Schedule.
Use validation rules and data quality checks to ensure completeness, accuracy, and consistency before the data transfer occurs, as mandated by Section 8(3)(b).
"Where personal data processed by a Data Fiduciary is likely to be— (a) used to make a decision that affects the Data Principal; or (b) disclosed to another Data Fiduciary, the Data Fiduciary processing such personal data shall ensure its completeness, accuracy and consistency."
| Version | Date | Author | Description |
|---|---|---|---|
| 1.0.0 | 2026-02-08 | WatchDog Security GRC Wiki Team | Initial publication from DPDP Workbook |
