... comprehensive data management capabilities to help organizations build, scale and manage data, analytics and AI workloads. Data and analytics technical professionals can use this research to select a combination of product and services to deliver the best solution and to incrementally build their data management ...
Analyst(s): Ramke Ramakrishnan | Mayank Talwar
Get more from Gartner
Interested in receiving proven business and technology insights, analyst guidance, benchmarks, diagnostics and more? Connect with a Gartner representative to learn more about becoming a Gartner client.
... AI implementation and adoption Low data literacy and technical skills in finance are a major stumbling block for AI adoption. Unlock AI’s full value by amping up the finance team’s foundational datascience and generative AI (GenAI) skills — such as basic Python, data wrangling and modeling, prompt engineering ...
... AI-ready data to support AI initiatives (including GenAI applications) requires evolutionary changes to data management and urgent upgrades to data architecture, platforms, skills and processes. D&A leaders can use this guide to successfully deliver AI use-case success through AI-ready data. Strategic ...
... organizations do business and operate. Being “data-driven” is no longer sufficient. As a result, data and analytics strategies must be reimagined with an endgame of being AI-first. The capabilities, competencies and processes required to utilize AI and data must be redesigned to enable decisions orchestrated ...
... Data migrations are complex, expensive, and often disrupted by unexplored business requirements. Data and analytics leaders must follow a business-led approach to identify and prepare for the new ERP system’s future-state data requirements by following the guidance outlined in this research. Gartner ...
... More data is not always better. More data comes with considerable risk. D&A leaders can learn from Northrop Grumman. Their data privacy team flags high-risk, low-value uses of personally identifiable information (PII) and calculates the business value of collecting and using less data, not more. Overview ...
Analyst(s): Chief Data and Analytics Officer Research Team
... Gartner First Takes Fresh insights on emerging trends IBM and Arm are partnering to develop dual-architecture IBM Z hardware that support both z/Architecture and Arm. This new capability will expand enterprise use cases for Mainframes, making the platform attractive for CIOs, heads of I&O, and investo ...
... A successful data catalog depends on unlocking metadata that is often buried in silos and stripped of business context. This guide equips data architects to lead the third phase — metadata collection and integration. It presents a practical approach for identifying, capturing, and organizing metadata ...
... positioning, offering and pricing model of their enterprise data management platform, Irion EDM® while also focusing on scaling strong partner network across several industries, leveraging their product features as an end-to-end platform to build Data Apps. How Gartner helped With the help of analyst interactions ...