... AI champions outpace other users in productivity but must be intentionally created and developed. Discover what defines this high-performing persona, how they differ from the broader workforce, and how executive leaders can implement strategies to develop and retain top AI user talent. Insights at a ...
Analyst(s): Julia McDowell | Swagatam Basu | Diana Sanchez
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... summary contains inputs from 14 members regarding their use of versioned data as a form of a data recovery process. The summary highlights the percentage and characteristics of members' data that are in scope for the versioned data approach. It also examines the frequency and number of recovery points ...
... Data management leaders must overcome obstacles to scale their data management practices, meet rising data demands, address architecture and infrastructure gaps for new use cases, and ensure data is AI-ready, trusted and reusable. Learn how to navigate these top five challenges, with effective strategies ...
Analyst(s): Thomas Oestreich | Ehtisham Zaidi | Adam Ronthal | Michael Simone
... Healthcare payer CIOs and executives routinely underestimate the complexities of clinical data integration initiatives, leading to subpar business outcomes. This research defines CDI processes and provides strategy and sourcing guidance to payer executives to achieve effective CDI at scale. Overview ...
Analyst(s): Healthcare and Life Sciences Research Team
... This handbook provides data and analytics leaders with a single source for all the key related research needed to build out the office of the chief data officer. Use this as your "first stop" to identify which resources are needed to get your program started. Analysis Research Highlights Responsibilities ...
Analyst(s): Douglas Laney | Joe Bugajski | Andrew White
... Python; a universal engine, Spark; and universal storage, open table formats, that will accelerate us from simple automation to fully agentic, automated data management. This session helps D&A leaders assess their strategy for navigating this disruptive transition and its opportunities and risks. Overview ...
... Enhance Enterprise Data Literacy Build a data fluent finance function to maximize AI investments, unlock the value of analytics, and lead the charge on data literacy efforts. Most organizations suffer from uneven data skills, low confidence, and resistance to change, which stalls data literacy efforts ...
... and distributed nature of environmental, social and governance data is a concern for organizations as it is used in regulatory reports and to inform business sustainability strategies. CIOs can use this tool to assess enterprise ESG data, identify gaps and plan improvements. When to Use Directions for ...
... Already a Gartner client? Many data quality programs involve reactively tackling issues as they arise as opposed to establishing prevention measures. Data and analytics leaders should use this research to proactively build a comprehensive data quality operating model to deliver data quality assurance. Overview ...