From the EU’S GDPR to PIPL to the CCPA, data privacy regulations are ever-changing and increasing. They are driving the need for more consented data. Compliance managers need data management capabilities to boost data transparency to ensure compliance and properly track the handling of personal data.
Scattershot data storage and retention policies can be costly. To optimize data lifecycle governance and lower costs, compliance managers must have data management tools that enhance automation and can handle not just the rise of data volume, but more importantly, the growing diversity of personal data.
With varying global regulations, compliance managers must be vigilant to ensure data storage and retention practices are locally compliant and that customer data is removed when necessary. Data inconsistency due to data silos can hamper these efforts. Data management can provide standardization so data is stored properly.
AI is a new threat area for data security. AI operations can be compromised at any stage of the AI process. Compliance managers will need to use data management automation and analytics to respond to and prevent AI-based data incidents, protect sensitive data, and increase transparency to understand AI vulnerabilities.
Gartner estimates that through 2025, 90% of organizations that trade globally will have struggled to mitigate risks from sovereign data strategies and policies and incur costs that limit mission success.
According to Gartner, by year end 2025, adoption of consent and preference management platforms will have doubled, driven primarily by shifts in the adtech ecosystem and the disappearance of third-party trackers.
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