Many organisations embrace self-service business intelligence (BI) because it offers business analysts the tools they need to quickly turn data sets into strategic insights. Often, these data sets are not governed, managed, or verified [RC1] by IT, but are accepted because the business analyst turns them easy-to-read charts and reports that can address an organisation’s toughest challenges. Because the business analyst is skilled and trusted, the art of insight often outweighs 100% data governance or accuracy.
The era of AI-enabled BI changes this paradigm, and in some cases, removes the business expert from the analytic process in favor of machine-generated insights. But when AI is applied to ungoverned data sets without human oversight, businesses actually take on a greater risk of inaccuracy and unreliability. Instead, the key to delivering reliable machine-generated insight requires governed data discovery tools that integrate AI in the analytic process. In this webinar, we answer the most common questions about why governance is even more critical to BI in the age of AI: