Advancing your organization by enabling users with self-service BI and analytics requires a much higher degree of forethought than just providing users with reports or with simple interactive capabilities. You are empowering self-service users to design their own analyses to speed up time to analytics - but there are risks you need to consider e.g., risks of double counting, risks of misunderstanding the data and the model, and risks of improper sharing. 

In this presentation, we will go over the considerations for going to self-service BI/analytics. 

• Using a Conceptual Data Model to ensure an understanding of complex business data rules and relationships
• Structuring an analytics model that helps prevent double counting and is easier for self-service users to use (also enabling point-in-time analytics)
• Ensuring effective metadata and data lineage available for self-service users to understand the data and where it comes from to inspire greater trust in the data
• Effective communications with your self-service users

Speaker: Pete Stiglich

Pete Stiglich is an experienced data management and analytics leader, consultant, and trainer and is the founder of Data Principles, LLC. Pete specializes in data modeling and enabling rich insights into data by modeling the complex relationships and rules in the business to provide high-quality, integrated data. Pete is also VP of Programs for DAMA Phoenix and has the Certified Business Intelligence Professional (CBIP) and Certified Data Management Professional (CDMP) certifications at the mastery level.