Prerequisite: None

James G. Kobielus

Senior Director of Research for Data Management

TDWI

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:

• Aligning BI and analytics governance with key business priorities, outcomes, and metrics
• Building a BI and analytics governance practice that integrates with established data governance infrastructure, tools, and processes across all business domains
• Establishing a BI and analytics governance board that includes executive sponsors and representatives from all organizations that are using analytics
• Defining a framework for data ethics, accountability, and transparency that is clear, viable, and defensible
• Instituting data literacy training curricula with a strong self-service analytics governance focus
• Incorporating BI and analytics governance metrics into employee incentives
• Encouraging sharing, collaboration, and reuse of analytics knowledge throughout the business