... Access Insights Already a Gartner client? Critical insights and perspective from Mark Beyer, Distinguished VP Analyst; Guido De Simoni, VP Analyst; and Thornton Craig, Senior Director Analyst. Gartner Recommended Reading Gartner Insights Abstract ...
Analyst(s): Guido De Simoni | Thornton Craig | Mark Beyer
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... for Global CIOs and Data and Analytics Research Board members on their data strategy and artificial intelligence (AI) initiatives. It discusses the primary objectives of members’ data strategy, structure and funding of their data initiatives, extent of integrating AI into their data strategy, and approaches ...
... client? The data management software market grew 9.1% to $13.5 billion in 2024. Data integration software remained the largest subsegment, as integration continues to be the foundational component of data management strategies with the market shifting from products to converged platforms for data, analytics ...
Analyst(s): Sharat Menon | Deepali . | Robin Schumacher | Harshita Chibber
... With explosive growth in data generated and captured by organizations, the ability to harness, manage and analyze data is becoming imperative. This research provides data engineering principles, patterns and best practices to help data engineers build data platforms. Overview Strategic Planning Assumption ...
... The GenAI revolution will distinguish winners from losers based on the strength of their data-centric approach. Data security product managers can build lasting trust and drive revenue growth by increasing data security maturity with GenAI, which spans detection, prevention and response. Overview Analysis ...
... Already a Gartner client? As data and analytics quality is essential to enterprise performance, CFOs — regardless of their formal or informal role in the D&A organization — must embrace three critical roles. By acting as a data visionary, enabler and business partner, CFOs ensure data initiatives deliver value ...
... Only 26% of chief audit executives have enough resources for audits using data analytics, even as 70% face increasing pressure to produce data-driven insights. CAEs can use this research to evaluate how to best structure data analytics resources given their department’s needs and capabilities. Overview ...
... Hyper-synthetic data enables fast, accurate and cost-effective analysis of simulated behaviors of people without privacy constraints. Product leaders should use verifiable hyper-synthetic data for behavioral intelligence and scenario planning when real data is scarce or restricted. Overview Strategic ...
Analyst(s): Vibha Chitkara | Nick Ingelbrecht | Kiumarse Zamanian | Tuong Nguyen | Ben Lee
... Scaling AI and KM initiatives to tap knowledge locked away in the content of unstructured data is stymied by the ways in which application data is managed. Enterprise applications leaders must ensure application data is available for discovery, retrieval and use beyond its primary application. Overview ...
Analyst(s): Tim Nelms | Jed Cawthorne | Stephen Emmott