
Self-service analytics and data discovery remains a consistent priority, enabling greater autonomy and agility for business teams. The trend has moved beyond hype to become an enterprise standard, consistently ranking 6th place for years.
Self-service analytics allows business users to independently answer questions about data, including access to data and the technical and organizational capability for analysis and visualization by business users. Data discovery is a user-driven, iterative process of searching for patterns and anomalies in data, where the discovery of new findings, verification of hypotheses, and identification of promising use cases take center stage.
Best-in-class companies use self-service analytics to build trust and democratization, recognizing it as a lever to accelerate market adoption and empower business teams. Interestingly, both vendors and users value this trend, though vendors see it as a lever to accelerate market adoption, while users view it as a practical tool for empowerment.
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