... Accelerators for Chief Data & Analytics Officers Accelerate organizational priorities through a methodical, step-by-step journey - powered by curated content, proven tools, and ready-to-use templates for Chief Data & Analytics Officers and their teams. Our newest accelerators help Data & Analytics leaders ...
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... CMO priorities. Prioritize marketing analytics to strengthen marketing’s value perception and capabilities despite data deprecation, identity fragmentation, marketing and customer data management, and the continuous advance of AI. Scope Analysis Topics Suggested First Steps Essential Reading Tools and ...
... executive role, delivering tangible business value and enabling a data-driven culture. Gaining critical mass globally, data and analytics leaders such as CDOs are proving to be a linchpin of digital business transformation. Survey Objective Data Insights Methodology Survey Detail Respondent Demographics Respondent ...
Analyst(s): James Richardson | Michael Moran | Valerie Logan | Roxane Edjlali | Mario Faria
... To enable use of diverse IT and business data to drive business decisions, manufacturing CIOs need a scalable, value-driven data exchange process. By applying principles of data and analytics governance, CIOs can provide the data quality needed to enable data exchange across complex ecosystems. Overview ...
... shift from traditional data foundations to dynamic, diverse and adaptable data ecosystems. When building or extending a data ecosystem, ensure that it is richly varied by using a range of tools and technologies to create the organization’s AI tech stack. Data readiness, rather than data quality, should be ...
... experiences using a centralized data encryption platform including an overview of the encryption-related processes members are (and are not) achieving via a centralized platform, processes that have not been centralized, exploring members’ rationales for using a distributed data encryption model. Gartner Insights ...
... 33 members regarding the maturity of their data literacy programs. It analyzes the prevalence of such programs across member organizations and their intended audience. The summary also examines the core components of these programs and how members assess data literacy levels within their organizations ...
... to prepare AI-ready data For every AI initiative, align the business case with the AI use case. Multiple techniques may apply, each with unique data requirements. Below are four foundational pillars for a data-centric approach. Exploratory data analysis and data preparation Data preparation includes ...
... the successful delivery of CMO priorities, especially during times of change. Prioritize marketing analytics to thrive in changing categories such as data deprecation, identity fragmentation, customer behaviors and the continuous advance of AI. Scope Analysis Topics Suggested First Steps Essential Reading ...