The goal of self-service analytics is to make everyone in an organization a data-driven decision maker. With self-service analytics, far more people across the organization can act upon data with speed, insight, and confidence. Rather than having to rely on trained data engineers to source the data for BI tools and on data scientists to model and predict outcomes. Business users can simply access and start using the data themselves. Using a semantic layer simplifies many complexities of business data and creates the flexibility to use new data platforms and tools. Watch this video to learn how a semantic layer helps scale self-service analytics.
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