Self-Service Analytics: Pros and Cons - DATAVERSITY
Briefly

Self-service analytics tools empower non-technical users by allowing them to perform data analysis independently, leading to faster decision-making and enhanced organizational agility.
These platforms, equipped with intuitive interfaces and advanced features like natural language processing, enable users to create visualizations and reports without expert knowledge.
By democratizing data access and reducing dependence on IT teams, self-service analytics facilitate a culture of data-driven decision-making that promotes innovation across all levels of an organization.
The autonomy provided by self-service analytics not only enhances productivity by enabling employees to analyze data independently, but also frees up IT resources for more strategic tasks.
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