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Zeteon Technologies
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General Contact Info
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Zeteon Limited
Greatwest House, 40,
Greatwest Road,
Brentford, London, TW8 9DF
United Kingdom
   
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URL: www.zeteon.net
   


 

Latest News

The Future of the Semantic Layer for BI and AI

In this expert panel webinar, we’ll explore how forward-looking organizations are designing data architectures that support not only operational efficiency but also collaboration, data sharing, and governed self-service.

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Expert Panel: The Future of Data Architecture: Building for Scale, Speed, and AI

Join Fern Halper, Ph.D., VP of Research at TDWI, and experts from Precisely as they discuss how enterprises are addressing adoption challenges, modernizing infrastructure, and incorporating generative AI to close the gap between vision and execution in self-service.

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The State of Self-Service and Automation: Results from TDWI’s Latest Research

Join TDWI senior research director James Kobielus and industry experts for an in-depth panel discussion of the current state of data quality management practices in enterprises and emerging new organizational structures, practices, platforms, and tools.

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Expert Panel: Improving Data Quality, Accuracy, and Consistency

Join TDWI senior research director James Kobielus and industry experts for an in-depth panel discussion of the current state of data quality management practices in enterprises and emerging new organizational structures, practices, platforms, and tools.

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Expert Panel: Improving Data Quality, Accuracy, and Consistency

This State of Self-Service Report examines the current state of self-service and how mature organizations are in their efforts.

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The State of Self-Service and Automation

TDWI research has found that data modernization is an ongoing process under which enterprises evolve their data platforms, pipelines, and practices in order to unlock the full value of their data assets.

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Expert Panel: Best Practices for Modernizing Your Data Environment

Join experts from TDWI, Alteryx, Databricks, and Capitalize as they explore the democratization dilemma and how a modern data stack can help support analytics across technical and non-technical users.

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