Content Duplication
← Back to page review
Low overlap

Page A-054

Mutual Fund Platforms: Preference Control for Advisory and

https://trust.digitalanumati.com/mutual-fund-platforms-preference-control-advisory-promotions/

5.5%

of A-054 overlaps A-019

Page A-019

Cookie-Less Growth in India: First-Party Data without

https://trust.digitalanumati.com/cookie-less-growth-india-first-party-data-dpdp/

3.0%

of A-019 overlaps A-054

Matching passages

Paragraph match score 85.5%

Page A-054

Design requirements for a DPDP-native consent and preference layer

Purpose-level consent objects : Design a data model that stores DPDP purposes (e.g., onboarding, advisory profiling, own-product marketing, third-party marketing) separately from channel-level preferences, with clear descriptions and links to the underlying notices.

Page A-019

Evaluating DPDP-ready consent and data platforms for Indian brands

DPDP-aware consent models: granular purposes, clear distinction between service and marketing uses, and support for withdrawal and correction. Multilingual notices and user interfaces that match your customer base across India. Robust audit trails: time-stamped consent logs, policy versions, and administrator actions that can be searched during investigations or audits. APIs and integrations with your web and app stack, tag manager, CDP, CRM, and analytics so consent travels with the customer. Controls for retention, deletion, and suppression aligned with your documented data policy. Support for evolving mechanisms like DPDP consent managers or equivalent frameworks, so you are not locked into a proprietary approach.