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  • Tech Launch Perspective
    June 23, 2026

    The Data and Analytics (D&A) market continues to evolve as enterprises modernize fragmented data estates, improve governance, and prepare data platforms for AI and agentic workloads. Organizations are prioritizing governed, interoperable, real-time, and context-rich data foundations…
  • Provider Compendium
    Dec. 30, 2025

    Enterprises are experiencing rising data complexities as they scale cloud adoption, modernize data estates, and operationalize AI. In this landscape, undetected data issues, ranging from quality degradation and schema drift to pipeline failures and governance lapses,…
  • Blog
    Nov. 06, 2025

      Modern enterprises rely on data as the backbone of digital, analytics, and generative AI (gen AI) capabilities. But rising consumption, complex multi-cloud pipelines, and proliferating stakeholders are directly affecting reliability and costs. Data observability acts as the operating layer that gives teams continuous visibility into data…
  • Viewpoint
    Sep. 29, 2025

    As enterprises confront the growing demand for instant responsiveness, data streaming is becoming an essential business agility and intelligence enabler. Traditional batch-based systems are giving way to zero-lag infrastructures that continuously process and act on data…
  • PEAK Matrix®
    July 24, 2025

    Data teams face rising complexity, from hybrid and multi-cloud pipelines to growing AI workloads. Hidden data failures, cost overruns, compliance breaches, and bad downstream decisions are becoming untenable. As a result, data observability is no longer…
  • Viewpoint
    March 07, 2025

    As businesses generate and rely on vast amounts of data, managing its complexity becomes a pressing challenge. Without a structured approach, data inconsistencies can disrupt operations, compromise decision-making, and reduce AI-driven insights’ effectiveness. Master Data Management…