The rising adoption of AI and ML has revolutionized how enterprises use data, elevating its importance to unprecedented levels. Today, data is integrated into every facet of operations to facilitate decision-making and drive innovation, resulting in a substantial increase in data access and consumption. However, the ever-evolving landscape of high-volume data, coupled with intricate interdependencies between platforms, has amplified challenges for data teams. These challenges hinder their visibility into data movement, quality, reliability, and the cost of data operations.
To address these challenges, enterprises are embracing modern data management practices such as data observability. Data observability offers end-to-end visibility of data estates, enabling organizations to proactively identify and diagnose data-related issues while optimizing the underlying data’s overall health.
Scope:
The PEAK Matrix® provides an objective, data-driven assessment of service and technology providers based on their overall capability and market impact across different global services markets, classifying them into three categories: Leaders, Major Contenders, and Aspirants.
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