What is Semantic BI?
Blog post from Lightdash
Semantic BI introduces a transformative approach to business intelligence by utilizing a semantic layer to define key metrics once, thus making them accessible to everyone within an organization. This method contrasts with traditional BI approaches that often rely on data experts to handle new queries, creating bottlenecks and overwhelming data teams with requests. Semantic BI provides unmatched governance and standardization, empowering non-data staff to independently explore data, which fosters a data-informed culture and reduces the number of routine data requests. However, it is not suitable for companies without a centralized data warehouse, data professionals, or a data-driven culture. As companies grow, the evolution from a data free-for-all to traditional BI, and finally to semantic BI, illustrates the scalability and efficiency gains possible with semantic BI, as seen in the fictional example of Flubber. This shift allows data teams to focus on more complex projects while business users efficiently self-serve, ultimately driving innovation and efficiency within the organization.
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