Quadrant Knowledge Solutions Market Insights research provides detailed description on the drivers behind adoption of data governance and why organizations should consider implementing automated data governance for their growth.
According to Manish Chand Thakur, Analyst at Quadrant Knowledge Solutions, “The data governance market has been gaining sustained traction due to the increasing complexity of – data assets and global data privacy regulations. Furthermore, driven by the maturity of AI and ML, leading automated data governance vendors are increasingly adding the features like automated data integration and data classification, self-service application, detailed lineage and analysis, and policy administration. These technical capabilities, according to Quadrant analysts, provide a rich context to data assets with enhanced security, privacy, and compliance adherence, allowing organizations to – harness critical data through cross-departmental collaboration, the completion of numerous manual tasks, and the making of proactive decisions within their departments with improved data quality.”
Table of Contents
Importance of developing a successful and sustainable data-driven culture within organizations.
What is data governance and why there is a growing need for the technology?
- Data governance definition and its overview.
- Major driver that pushed organizations to adopt a data governance framework.
Short comings associated with traditional data governance practices?
- Introduction to overcome challenges by implementing fully automated data governance tools.
Automated data governance – the transformation to an intelligent data-centric culture.
- Quadrant Knowledge Solutions guidance for organizations to effectively accelerate their paths to transformation through automated data governance.
Core components of automated data governance that are necessary for users to view, understand, and better manage their organization’s data.
Way forward for automated data governance market.
This Market Insights is a part of Quadrant’s Data Management practice.
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