Explore the importance of data quality and how to achieve it for better decision making. Improve data accuracy and supercharge your business intelligence.
Check out the conference highlights from Gartner Data Analytics Summit 2024 about data management, generative AI and governance best practices.
Data quality tools are the processes and technologies for identifying, understanding and correcting flaws in data that support effective information governance across operational business processes...
Follow these 5 steps to effectively design a compelling data quality improvement business case. Effective business engagement may be limited for several reasons.
High-quality, trusted data is critical for successful digital business transformation. To improve enterprise data quality, D&A leaders must take 12 targeted actions.
Clearly define and articulate the links between the MDM program and the business outcomes it supports. ; Lay a solid foundation for success by engaging business stakeholders early. ; Adopt an MDM architecture most suited to fulfill current and future goals.
Strategies for managing stakeholder expectations ; Best practices for GenAI use-case evaluation ; Collaboration methods with risk stakeholders
Gartner Critical Capabilities for Augmented Data Quality Solutions helps leaders gain deeper insights into Augmented Data Quality Solutions vendor product and service offerings and understand which...
Data quality measures how well a dataset meets criteria for accuracy, completeness, validity, consistency, uniqueness, timeliness and fitness for purpose.
Gartner, Inc. identified 12 actions to help chief data and analytics officers (CDAOs) and other D&A leaders improve data quality (DQ) to avoid high costs and deliver sustainable value to their orga...