... Organizations rely on personal data for analytics and AI modeling to drive growth. Increasingly, privacy requirements limit the use of this data. D&A governance leaders must collaborate with stakeholders to assess which PETs reduce risk across AI modeling, cross-border transfers and data analytics. Overview Introduction ...
Analyst(s): Bart Willemsen
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... planning that relies on inaccurate or irrelevant data can lead to failed initiatives and harm HR’s credibility with business leaders. CHROs should utilize this research to ensure their teams use relevant metrics, improve data readiness and advance their data competency. Insights at a Glance Impact Brief ...
... D&A leaders who define analyst roles in terms of specific decisions rather than general tasks increase business value. Philips’ finance function saw more than €18 million in revenue impact after realigning its analysts to support specific decisions rather than myriad stakeholder requests. Gartner Ins ...
Analyst(s): Chief Data and Analytics Officer Research Team
... Use this tool to see how StatsNZ organized work into separate specializations or job functions so D&A leaders can focus their recruitment strategies. Overview Recommended by the Authors Gartner Insights Abstract ...
Analyst(s): Chief Data and Analytics Officer Research Team
... Already a Gartner client? Poor data quality silently inflates supply chain costs and stalls AI initiatives, yet most organizations struggle to quantify the damage. CSCOs must build a definitive business case using five strategic actions to expose these hidden costs and secure data quality investments. Insights ...
... Empower heads of I&O to establish a “data as a product” vision, identify pilot use cases, and drive a data-centric operating model to support agentic-AI-powered I&O. Outcome Suggested Partners Featured Resource Step 1 Step 2 Step 3 Gartner Research ...
... interoperability outputs before launch; establish security protocols. Plan ahead for ongoing training investments — scaling up usually requires more datascience talent, storage capacity and compute resources than anticipated. Stage 4: Organizational layer Even perfect technology cannot save projects if employees ...
... investment. As part of the data and analytics strategy, leaders must consider how to ensure data quality, data governance and data literacy in their organizations. This eBook is designed to help data and analytics leaders: Design an effective data and analytics strategy Build data literacy across the organization ...
... are not directly involved in their day-to-day execution. AI-ready data is a critical barrier to and enabler of success of AI initiatives. Here are three steps CIOs can take to strategically position governance to incorporate AI-ready data. Gartner Research ...