It has been a positive experience working with the Tellius team and the implementation has received positive feedback and led to multiple business teams looking to add this capability to help with their data needs. This has helped with data democratization.

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Organizations have aspired to implement self-service analytics for the better part of two decades, yet challenges still remain in its practical adoption. Many organizations are still struggling with the never-ending cycle of dashboards—a business user has a question, the data team builds a dashboard to answer the question, but the dashboard opens new lines of questions. This endless cycle puts the data team in the uncomfortable position of a bottleneck for organizations to truly become data-driven.

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In this comprehensive guide, you will learn the latest on self-service analytics including:

a brief history, who uses self-service analytics, and the core benefits
evolving definitions, potential applications and use cases
how AI and machine learning have impacted the landscape
best practices and tips for choosing the right self-service analytics platform

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Accelerate insight generation for the whole team with self-service analytics

Easy to adopt. Several requests from business teams to have Tellius implemented