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Your business teams need to find, prepare, and share data for integration, analytics, and data science projects. Data preparation is a must-have. The 2020 Gartner Market Guide for Data Preparation Tools helps you navigate a crowded and complex technology landscape to select the right technology for your business.
Get this guide to learn about:
- Graduating from self-service data preparation to building datasets at enterprise scale for a range of distributed content authors
- Comparing standalone tools to embedded data preparation capabilities in your broader analytics ecosystem
- Adopting data preparation enterprise-wide by operationalizing self-service and by using ML/AI algorithms to automate the process
*Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Gartner 2020 Market Guide for Data Preparation Tools, Ehtisham Zaidi, Sharat Menon, 9th July 2020