With so much data proliferation, it's becoming extremely difficult for organizations to know where data comes from, how it has changed, and who's using it. When trying to produce accurate and quality analytical and AI outcomes, what consequence do organizations face if they can't fully explain how data was collected or verify its origin? Increase in data quality incidents Bias in AI models Application modernization delays Lack of trust in analytics and AI