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April 7, 2022
James G. Kobielus
Senior Director of Research for Data Management
Enterprises have established strong governance around the key assets—data, statistical models, and program code—from which their business intelligence (BI) and analytics applications are composed.
However, these processes are not enough to ensure that analytics applications will have the intended bottom-line impacts. That’s why forward-looking organizations are establishing comprehensive BI and analytics governance programs that instill best practices such as data literacy, algorithmic accountability, collaborative analytics reuse, and responsible AI at all levels in the enterprise.
Join TDWI’s senior research director James Kobielus to explore how enterprises can establish sustainable BI and analytics governance practices throughout their technical and business operations. Key points in his discussion include: