Description: Interactive analytics refers to real-time data analysis that allows users to interact dynamically and visually with data. This methodology focuses on users’ ability to explore, manipulate, and visualize large volumes of data through intuitive interfaces. Unlike traditional analytics, which often relies on static reports, interactive analytics offers a more immersive experience where users can ask ad hoc questions and receive instant answers. Key features of interactive analytics include real-time data visualization, the ability to conduct exploratory analysis, and integration with various data sources. This enables organizations to make informed, data-driven decisions, enhancing agility and responsiveness to changes in the business environment. In the context of databases and Big Data, interactive analytics becomes an essential tool for extracting value from data stored in various data infrastructures, facilitating the identification of patterns, trends, and business opportunities.
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