AI techniques are being used to enhance and accelerate exploratory data analytics. Organizations are addressing challenges such as multiple data sources, incomplete data, and untrustworthy AI. Dynatrace offers Grail dashboards, Notebooks, and CoPilot generative AI to provide instant insights. Exploratory data analytics involves three steps: discover, browse, and explore.
Table of contents
Three steps in exploratory data analytics: Discover, browse, exploreDiscover data using global search on the new ‘explore’ section and tile type in Notebooks and DashboardsBrowse data: Advanced exploration using DQLExplore data using Davis CoPilot—a generative AI technique for advanced analytics of logs and metricsExploratory data analytics enhanced by AI techniques4 Impressions