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Premium Research Jan 2024
... Data-driven enterprises struggle with data distribution complexity, multicloud/hybrid data management and overworked teams. In response, data management solutions must support data fabrics leveraging automation, data mesh operating models, and cost optimization via DataOps and augmented FinOps. Scope ...

Analyst(s):   Ehtisham Zaidi   |   Roxane Edjlali
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Premium Research Sep 2024
... Metadata management is shifting from tools that provide unidirectional metadata toward bidirectional metadata access. Data and analytics leaders evaluating metadata management solutions can use this research to identify a solution supporting both passive and active metadata management capabilities. O ...

Analyst(s):   Guido De Simoni   |   Mark Beyer
Premium Research Mar 2024
... Augmented data quality solutions represent a fundamental shift in solving data quality issues through the application of active metadata, AI (e.g., NLP) and graph technologies. Data and analytics leaders can evaluate these solutions’ critical capabilities and common use cases in this research. Overvi ...

Analyst(s):   Melody Chien   |   Jason Medd
... Gartner’s Top Insights for the
C-Suite 2018-2019: Information Technology Mobilize your IT function for digitalization A new era of enterprise information technology Digitalization, along with growth, is now top priority for both private- and public-sector organizations. Digital offers new ways ...
Premium Research Mar 2024
... Augmented data quality, driven by AI, metadata and knowledge graph, is dominating the data quality market. Traditional data quality vendors face fierce competition due to outdated technologies. Data and analytics leaders should understand market trends and vendor landscapes to make the best choices. ...

Analyst(s):   Jason Medd   |   Melody Chien
Premium Research Mar 2024
... Organizations launching self-service analytics and business intelligence programs struggle to balance agility and control. Data and analytics technical professionals can use this guidance framework to build a governed self-service analytics capability that enables and supports end users. Overview Prob ...

Analyst(s):   Georgia O'Callaghan
Premium Research Mar 2024
... Self-service analytics initiatives often fail to deliver on their full potential due to challenges with governance, trust, scalability and adoption. This guidance framework helps data and analytics technical professionals to overcome these barriers and mature their SSA initiatives. Overview Problem St ...

Analyst(s):   Georgia O'Callaghan
Premium Research Mar 2024
... Organizations struggle with comprehensive discovery/onboarding of privileged accounts, increased friction in the PAM operating model and implementing a resilient PAM solution. Security and risk management technical professionals must address these challenges to improve widespread adoption of PAM. Ove ...

Analyst(s):   Gautham Mudra
Research Feb 2024
... Access Research Already a Gartner client? Incident response promotes an organization’s increased resilience, but few organizations prepare the right way. Security and risk management leaders must protect their organizations by taking four steps that cover the connections between technology, people and ...

Analyst(s):   Carlos De Sola Caraballo
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