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Research Jul 2021
... Leading life science organizations strive to balance foundational capabilities with the pursuit of innovation. This Hype Cycle provides CIOs input for strategic planning by tracking maturity levels and adoption rates of key technologies to better engage customers, grow revenue and reduce costs. Analysis ...

Analyst(s):   Animesh Gandhi
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Premium Research Feb 2026
... announcing its intent to acquire 1touch. Heads of I&O must now pivot from managing storage hardware capacity to architecting automated, platform-agnostic data infrastructure and intelligence. Gartner Recommended Reading ...

Analyst(s):   Chandra Mukhyala   |   Jeff Vogel
Research Jan 2026
... responsibilities for data and its derived assets, inclusive of AI. Overview What You Need to Know Analysis Ab Initio Alation Alex Solutions Ataccama Atlan BigID Collibra DataGalaxy IBM Informatica Microsoft OvalEdge Precisely ServiceNow Solidatus Rule Management (Iterative) Data Classification and Tag Mgt Data Dictionary ...

Analyst(s):   Sarah Turkaly   |   Anurag Raj   |   Guido De Simoni
Guide May 18 2023
... to realize its data and analytics goals. Common gaps include data and analytics talent, data literacy and data governance policies. Position D&A as a business function focused on value A vision for the data and analytics strategy serves to explain succinctly what it means to be a data-driven enterprise ...
Premium Research Jul 2026
... Most data and analytics leaders fail to create a “living strategy,” and instead update their strategy either as part of a regular review cycle or in response to the appointment of a new CxO. Instead, data and analytics leaders should be continually looking for events that will require an immediate update ...

Analyst(s):   Gareth Herschel   |   Alan D. Duncan
Premium Research Mar 2026
... To sustain AI ambitions and value with increasing regulatory mandates, data governance must shift to an embedded and executable operating system. Bank CIOs must hardwire data controls, evidence and accountability into platforms and delivery pipelines based on risk rating. Gartner Insights Abstract ...

Analyst(s):   Ali Merji   |   Sudarshana Bhattacharya
Premium Research Mar 2026
... As agentic AI grows, data and analytics leaders must implement comprehensive and granular data lineage to manage the risks of agentic AI. This will ensure compliance, boost trust, and improve explainability. Insights at a Glance Issue Context Impact Brief More Detail Gartner Recommended Reading Gartner ...

Analyst(s):   Guido De Simoni
Research Feb 2026
... Access Insights Already a Gartner client? Becoming a data-driven enterprise is a means to success, rather than the target state. It does not necessarily result in insight, action or measurable business value. Nor do data, analytics and AI solutions sustain themselves — even excellently designed and built ...

Analyst(s):   Alan D. Duncan   |   Devyani Chhibber   |   Jorg Heizenberg
Research Feb 2026
... commoditized, the real competitive edge now lies in the representativeness of your data linked with business outcomes. This research details seven practical actions that illustrate how to align, govern, and qualify data for GenAI applications. Gartner Insights Abstract ...

Analyst(s):   Mark Beyer   |   Mike Fang
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