... Master data management solutions are critical to mitigate operational risks and ensure enterprisewide data integrity amid increased regulatory scrutiny. This note guides data and analytics leaders to learn from the implementation experience of their peers shared on Gartner Peer Insights. Overview Peer ...
Analyst(s): Peer Contributors
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... Backup and data protection platforms vendors are continually enhancing their backup offerings to improve enterprise data protection across multicloud, SaaS and data center environments. Heads of I&O should use this research to identify and select vendors to address their enterprise data protection needs ...
Analyst(s): Jason Donham | Rizvan Hussain | Sankalp Rastogi | Rene Rodriguez | Michael Hoeck
... second-party intent data, and how is it different? Intent data is derived from user behavior data such as search history, web visits, ad clicks, and page conversions. In turn, a provider's intent data is derived from the relationship the provider has with a user as they collect that behavior data. For example ...
... Data Literacy: Enhance the Value of Your Data Assets Develop a focused program to cultivate a data-driven culture and grow data literacy across the organization. Data literacy is a key enabler to driving business outcomes Data literacy is an essential competency for all employees. Executives must use ...
... The demand for AI-ready data is driving renewed interest in unstructured data, but existing governance strategies are not designed to cope. D&A governance leaders must evolve their strategies to effectively manage, protect and utilize unstructured data, ensuring it is AI-ready while meeting compliance ...
... As organizations accelerate GenAI adoption, governing data used in AI is a common challenge. Data governance technology is rapidly incorporating GenAI capabilities to assist organizations with identifying and governing critical data used by GenAI. D&A leaders need to understand how these capabilities ...
... Innovation in AI data, engineering and platforms is critical to compete in the AI race. Within this race, only product leaders prepared to enhance domain data with unstructured and synthetic data, embrace AI-driven engineering and operations, and build new AI ecosystems will be positioned to succeed. ...
... investing in application and data security technologies that deliver measurable impact. While deployments are underway, traditional obstacles persist. Learn which solutions your peers are prioritizing and the recommended strategies to drive successful adoption. Data Snapshot Data Insights What You Need to ...
... Infrastructure Research Board members regarding their management of data volume in encrypted backups. It outlines the impact of encryption on data volume, use of encryption and backup solutions, primary challenges with increased data volume, and cost-effective strategies for addressing increased storage ...