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Premium Research May 2025
... capitalize on the latest AI solutions, which requires investment in underlying data assets and capabilities. To achieve this with limited resources, they must prioritize hiring the right types of data roles and maximize their team’s data skills without ballooning overhead. Overview Introduction Analysis Gartner ...

Analyst(s):   Andrew Newman
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Premium Research Jan 2024
... The value proposition for first-party data is clear for CMOs, but first-party data cost estimation remains a murky area that is fraught with hidden dependencies and cost drivers. Anticipate costs in five areas to plan for and quantify first-party data costs. More Detail Gartner Research ...

Analyst(s):   Joseph Enever
Premium Research Jul 2025
... Salesforce’s recent Slack data restrictions mark a critical inflection point in the enterprise AI landscape as platform providers create “walled ecosystems.” Tech services leaders must champion customer data sovereignty for clients or risk losing control of their data and impacting options for future ...

Analyst(s):   Ben Fieselmann   |   Chrissy Healey   |   Danny Ryan
Premium Research Jul 2025
... transformation relies on the distributed processing of vast amounts of data, including IoT data at the edge. Infrastructure architects can use this research to understand why they should deploy an edge platform for localized computing of evolving data, in order to support operational modernization and AI-driven ...

Analyst(s):   Mohini Dukes   |   Thomas Bittman   |   Scot Kim
Research Jun 2025
... value with D&A because they lack foundational practices across data and analytics governance, data management and solution delivery. This is perilous, as the highest-maturity organizations now enjoy winners-take-all advantages. Overview Data Insights Gartner Recommended Reading Note 1: Methodological Overview ...

Analyst(s):   JC Martel   |   Michael Gabbard   |   Akash Krishnan
Premium Research Jun 2025
... from AI hyper-synthetic data enable hypothesis testing and analytics for complex scenarios, resolving privacy, ethical and logistical challenges. Product leaders should embrace hyper-synthetic data to gain deeper insights and predictions, driving innovation in areas where real data about individuals is ...

Analyst(s):   Vibha Chitkara   |   Tuong Nguyen   |   Nick Ingelbrecht   |   Ben Lee   |   Kiumarse Zamanian
Premium Research Sep 2025
... shrinking budgets. Data and analytics is a critical area for modernization that requires focus on the areas of operationalizing resources, data and AI governance and tackling culture change. Strategic Planning Assumptions Analysis Research Highlights Contributors Note 1: Chief Data and Analytics Officer ...

Analyst(s):   Julie Slezak   |   Alan D. Duncan   |   George Sellner   |   Poorva Rohilla   |   Donna Medeiros
Research Mar 2021
... Gartner’s IT Score for Data & Analytics benchmarks the maturity level and importance of 25 activities across seven objectives that are top of mind for data and analytics leaders worldwide. About This Research Recommended by the Authors Gartner Insights Abstract ...

Analyst(s):   Chief Data and Analytics Officer Research Team
Research Mar 2021
... Gartner’s IT Score for Data & Analytics benchmarks the maturity level and importance of 25 activities across seven objectives that are top of mind for data and analytics leaders worldwide. About This Research Recommended by the Authors Gartner Insights Abstract ...

Analyst(s):   Chief Data and Analytics Officer Research Team
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