DATA CATALOG MARKET ANALYSIS

Market Concentration and Competitive Landscape

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Rise of self-service analytics

Data-driven decision making has moved beyond centralized analytics teams to involve business users across functions. There is increasing demand for intuitive self-service analytics tools that empower business experts to independently analyze data and generate insights without relying on IT. Embedded with these self-serve analytics platforms are functionalities that source data from catalogued sources to power flexible ad-hoc querying and visualization. With metadata-driven search capabilities, users can quickly and easily find relevant data to answer specific analytical questions. The data catalog acts as the single point of reference to explore governance-approved datasets suitable for particular analytics use cases. This accelerates analytical workflows by removing bottlenecks around data access and integration.

By centralizing metadata management and facilitating self-discovery of analytic-ready datasets, the data catalog bridges the gap between analysts and available information resources. It enables wider adoption of self-service analytics by equipping business experts with the right metadata information to leverage internal and external data on their own. With data more discoverable and accessible, organizations benefit from faster, more decentralized analytics and a culture of data exploration across teams.