Data Governance Data Quality Gap analysis 
AWS Big Data
AUGUST 14, 2023
In the same way, overly restrictive data governance practices that either prevent data products from taking root at all, or pare them back too aggressively (deforestation), can over time create “data deserts” that drive both the producers and consumers of data within an organization to look elsewhere for their data needs.
CIO Business Intelligence
OCTOBER 2, 2024
Data governance Strong data governance is the foundation of any successful AI strategy. This includes regular audits to guarantee data quality and security throughout the AI lifecycle. The importance of data privacy, data quality and security should be emphasized throughout the AI lifecycle.
CIO Business Intelligence
APRIL 29, 2025
They should conduct a gap analysis comparing current practices against DPDP requirements to identify critical compliance deficiencies, to prevent reinvention of the wheel. Effective DPOs will balance compliance requirements with business objectives, facilitating responsible data innovation rather than simply implementing restrictions.
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