I recently wrote about the development, testing and deployment of data pipelines as a fundamental accelerator of data-driven strategies as well as the importance of data orchestration to accelerate analytics and artificial intelligence. As I explained in the recent Data Observability Buyers Guide, data observability software is also a critical aspect of data-driven decision-making. Data observability addresses one of the most significant impediments to generating value from data by providing an...
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Topics:
Analytics,
Data Ops,
data operations,
AI & Machine Learning,
Analytics & Data,
Generative AI,
Machine Learning Operations
I wrote recently about the role that data intelligence has in enabling enterprises to facilitate data democratization and the delivery of data as a product. Data intelligence provides a holistic view of how, when, and why data is produced and consumed across an enterprise, and by whom. This information can be used by data teams toensure business users and data analysts are provided with self-service access to data that is pertinent to their roles and requirements. Delivering data as a product...
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Topics:
Analytics,
Data Ops,
data operations,
AI & Machine Learning,
Data Platforms,
Analytics & Data,
GenAI,
Data Intelligence
I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research 2023 DataOps Buyers Guide is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to Data vendors supporting the spectrum of DataOps....
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Topics:
Data,
Data Ops,
data operations
The 2023 Ventana Research Buyers Guide for DataOps research enables me to provide observations about how the market has advanced.
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Topics:
Data,
Data Ops,
data operations