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Report details
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Tables
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Executive Summary
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Introduction
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Research Findings
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Data Stakeholders Across the Organization Face a Plethora of Challenges
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As Data Takes Center Stage, Organizations Formalize Their Data Priorities
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DataOps Strategies Broadly Deliver on Requirements and Expectations
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Data Observability Takes Hold as Organizations Seek Better Transparency and Qual…
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Collaboration Is Well Underway as Data Stakeholders Come Together
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Conclusion
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Research Methodology
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Respondent Demographics
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Research Report: The State of DataOps: Unleashing the Power of Data
Jan 08, 2024
by
Stephen Catanzano, Christian Perry
For most organizations, data is no longer only one of many elements that contribute to the success of business initiatives. On the contrary, data increasingly is the business, wielding formidable influence and power across numerous factors, including the ability to rapidly make informed business decisions. In turn, organizations are investing significant resources into the development of DataOps strategies that formalize parts and processes inherent to the data pipeline and help to build collaboration between stakeholders across the ecosystem. Data-centric challenges are extensive within any team connected to the organization’s data pipeline, including data producers, engineers, developers, and users. These challenges ultimately drive the adoption and use of technologies and processes designed to satisfy both common and unique data requirements.
To examine the state of DataOps in today’s organizations, Enterprise Strategy Group surveyed 361 data professionals in North America (US and Canada) involved with modern data and analytics tooling, technology, and processes.
Page Count: 24
Table of Contents
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Executive Summary
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Introduction
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Research Findings
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Data Stakeholders Across the Organization Face a Plethora of Challenges
-
As Data Takes Center Stage, Organizations Formalize Their Data Priorities
-
DataOps Strategies Broadly Deliver on Requirements and Expectations
-
Data Observability Takes Hold as Organizations Seek Better Transparency and Quality
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Collaboration Is Well Underway as Data Stakeholders Come Together
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Conclusion
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Research Methodology
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Respondent Demographics
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