... Data integration tools are evolving as data integration becomes increasingly decentralized and less-technical users seek to perform data integration tasks independently. This note guides data and analytics leaders to learn from ratings and reviews shared by their peers on Gartner Peer Insights. Gartner ...
Analyst(s): Peer Community Contributor
Get more from Gartner
Interested in receiving proven business and technology insights, analyst guidance, benchmarks, diagnostics and more? Connect with a Gartner representative to learn more about becoming a Gartner client.
... priority for midsize enterprise CIOs, pushing them to enable data and analytics and adoption of AI. To minimize the data risks inherent in these objectives, CIOs must minimize data risk by engaging with business stakeholders and selecting data security technology. Insights at a Glance Impact Actions Cautions ...
... preferences against peers’ technology investments in key areas like AI for diagnostic imaging and IoT for patient monitoring. Overview Survey Objective Data Insights Gartner Recommended Reading Gartner Research ...
... because core finance data (e.g., revenue, cost) is rebuilt across systems. CFOs can reduce cost, risk and rework by reducing duplication in how data is used across systems and treating critical financial data as shared assets. Insights at a Glance Strategic Planning Assumption Data Weakness Is Becoming ...
... Data integration tools have long been essential for organizations seeking to manage data, especially in complex technical environments. This note guides data and analytics leaders to learn from the implementation experience of their peers as shared on Gartner Peer Insights. Overview Peer Lessons Learned ...
... Enterprise AI adoption accentuates data security risks, and cybersecurity leaders must adapt to keep pace. Key insights from the Building AI-Ready Data Security Pickup Team highlight how members ensure that their data security practices support safe and effective AI use. Insights at a Glance Issue Impact ...
... Data and analytics technologies enable you to create highly discoverable, trusted, high-quality, contextualized and reusable data assets, AI models and AI agents. These rapidly advancing markets, essential to delivering value from AI, are the ones data and analytics leaders can’t afford to overlook in ...
... Security data lake offerings, like Databricks’ Lakewatch preview, are a significant shift in the traditional SIEM market. They focus on data accessibility first which, due to ingestion costs, has always been problematic for SIEMs and allows cybersecurity professionals more flexibility for data monitoring ...