... Effectively testing software requires data that reflects real-world conditions, but using production data leads to privacy, security and compliance risks. This research helps quality engineers choose the best techniques to generate test data. Overview Analysis Recommendations Conclusion Gartner Recommended ...
Analyst(s): Sushant Singhal
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... MDM solutions orchestrate the consolidation and maintenance of vital data assets, fostering a cohesive and consistent data landscape. Data and analytics leaders can learn from ratings and reviews by their peers shared on Gartner Peer Insights. Gartner Recommended Reading Methodology Gartner Research ...
... sandwich: A “tech sandwich” approach accommodates both the centralized data and AI typically managed by IT on the bottom and the data and AI coming from everywhere (business departments, enterprise software vendors, datascience and engineering team, etc.) on top. Lean into governance and trust: Establish ...
... Quality teams often struggle to use data in a meaningful way to increase quality performance. This research will help quality leaders to equip their teams with actionable insights by assessing the data landscape and establishing continuous data management practices. More Detail Gartner Recommended Reading ...
... When manufacturing CIOs launch a data strategy, they often face continuous challenges in scaling its outcomes due to inflated expectations on data exchange. We recommend three implementation process steps to accelerate a data-smart digital organization. Overview Introduction Analysis Gartner Recommended ...
... Increased efforts around data access and literacy don’t ensure that business leaders actually use the available information to make better talent decisions. To overcome barriers and enable data-driven decision making, HR leaders need to improve data salience and relevance. Overview Introduction Analysis ...
... The optimal organizational model for data and analytics requires balancing centralized and decentralized teams that collaborate within lines of business. Data and analytics leaders must take one of several possible approaches to strike the ideal balance. Key Challenges Introduction Analysis Create a ...
Analyst(s): Austin Kronz | Kurt Schlegel | Jorgen Heizenberg | Frank Buytendijk
... Access Research Already a Gartner client? Just stopping by? Chief data and analytics officers can monetize enterprise D&A assets by creating value from data and analytics assets and leading the data-driven transformation for their organization to become AI-ready. Scope Analysis Topics Suggested First ...
... analysis leaders often struggle to align their data and analytics governance strategy with business outcomes, leading to poor data quality. This research provides recommendations on how to use a metrics cascade to improve D&A governance and increase overall data quality. Overview Introduction Analysis Gartner ...