Learn how semantic layers unify data, reduce costs, and improve AI accuracy by standardizing metrics and business logic across platforms, enabling more consistent and trustworthy analytics.
Learn how semantic layers create one source of truth that unifies data teams with the business, improves AI accuracy, and reduces costs while ensuring consistent analytics across your organization. This session addresses a critical challenge faced by many companies: maintaining consistent metrics and trustworthy data in environments where multiple BI tools are the norm. With organizations typically using 4+ analytics platforms, ensuring data consistency has become increasingly complex. Semantic layers provide the solution by creating a universal layer that standardizes data definitions and business logic across all analytical tooling.
After this talk you will:
Rachel Kurtz is a seasoned consultant, having been at InterWorks for 7 years, with a passion for transforming raw data into meaningful insights. With a solid background in statistics, machine learning, and data analytics, she brings a wealth of expertise to every project undertaken. She loves empowering users in every aspect of their analytics, from data collection and model creation to visualization. With degrees in both Electrical Engineering and Data Science, she is experienced in and passionate about the holistic life cycle of data. When she’s not digging into data, Rachel loves baking, running and rereading Harry Potter.