Explore the importance of data quality and how to achieve it for better decision making. Improve data accuracy and supercharge your business intelligence.
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...
Check out the conference highlights from Gartner Data Analytics Summit 2024 about data management, generative AI and governance best practices.
Update the D&A strategy with an AI strategy, including attention to GenAI ; AI initiatives are proliferating, often within a single organization in an uncoordinated and tactical manner. This is especially true of GenAI adoption. When one part of the organization is unaware of what another part is doing with AI, it can unwittingly create business risk and potentially destroy strategic business value. To prevent that, organizations need an AI strategy. The point here is not to shut down proliferat...
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.
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...
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...
Data quality measures how well a dataset meets criteria for accuracy, completeness, validity, consistency, uniqueness, timeliness and fitness for purpose.