... Data ecosystems have recently emerged from CSPs and ISVs. They offer integrated toolsets for end-to-end data management for all data use cases. Data ecosystems simplify and unify the delivery of complex technology, like data fabric, through an ops-focused business practices layer. Overview Gartner Recommended ...
Analyst(s): Adam Ronthal
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... Data classification is essential for prioritizing controls for securing sensitive data, but the increasing adoption to GenAI makes classifying data more challenging. This note showcases best practices from cybersecurity leaders to adapt data classification to the speed of innovation. Contributors Gartner ...
... examines the role members can take in sharpening data management. Identifying data flows and patterns, driving a segmentation of data development, and capitalizing on recent advancements in AI will help enterprises tackle issues arising from large and complex data estates. Gartner Recommended Reading Acknowledgments ...
... critical battleground within the broader data management software (DMS) market and is essential for staying competitive. DMS product leaders should invest in metadata to lead emerging trends and technologies such as data management platforms, AI-ready data, and modern data architectures. Overview Analysis ...
... Infrastructure platform engineers responsible for backup must protect data in on-premises and cloud IaaS environments from ransomware, data loss and data corruption. This research provides guidance for designing a robust backup and data protection strategy, as well as architecture best practices. Overview ...
... Gartner client? Delivering better business outcomes needs a data-driven organizational culture with a data-literate workforce that values information as an asset. To achieve this, CDAOs must take charge of three key areas: data’s business value, data-related cultural changes and digital ethics. Overview ...
... Lack of GenAI-ready data is the top reason for failed GenAI deployments. Product managers at data management software vendors must add capabilities to manage unstructured data so that it supports customers’ GenAI implementation, through in-house development and/or integrations and partnerships. Overview ...
... Access Research Already a Gartner client? Gartner collects Data & Analytics (D&A) Spending and Staffing data from the IT Budget Tool on a year round basis.This research contains high-level Data & Analytics spend and staff benchmarks which should be used as part of a perennial cost and value optimization ...
... Access Research Already a Gartner client? Complex and redundant data platforms wreck engineering teams’ ability to quickly build AI- and data-driven digital experiences. Software engineering leaders should converge development onto a primary data management and analytics platform to reduce redundancy, simplify ...
Analyst(s): Prasanna Lakshmi Narasimha | Steve Schwent