Global IDs was recognized as one of the data and analytic governance platform providers in the Gartner Market Guide for Data and Analytics Governance Platforms.[1]
“Global IDs continues to evolve our capabilities so we can stay ahead of the governance needs of our existing and future customers. Our continuous development of core capabilities built in one integrated platform differentiates us in the marketplace to deliver a seamless solution for governance that works at scale across multiple types of data sources. We are honored to be named in this 2021 Gartner Market Guide”, said Lisa DiGiorgio, SVP, Client and Channel Engagement at Global IDs.
According to Gartner, “Through 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance”. The picture from this Market Guide report depicts potential representation of components and scope for a data and analytics governance platform.
Global IDs’ capability to automate metadata augmentation at scale, organize data assets and apply policy rules to highlight and monitor for quality exceptions and non-compliance, enables an organization to govern their data and analytics environments with efficiency. The volume, velocity and variety of incoming and outgoing data cannot be managed without an automated approach to organizing with a level of business context and relevance. Global IDs machine learning approach to connecting business concepts to physical data is key to establishing the context within your data catalog.
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About Global IDs, Inc.
For more than two decades, Global IDs has been at the forefront of developing software solutions that enable businesses to derive the maximum value from their data assets. The platform leverages Machine Learning and AI to automate complex processes, catering to over 14 industries worldwide. Founded in 2001 by Dr. Arka Mukherjee to address the challenges of next-generation data ecosystems, Global IDs has evolved to offer a fully integrated solution for organizing complex data ecosystems and empowering business leaders to solve data problems with the confidence and velocity necessary to compete and win in the marketplace.
