Whitepaper: The Journey to Open Data Science
Learn why Open Data Science is the foundation to modernizing data analytics, and ways availability, interoperability, transparency and innovation are some of the most important benefits of the ODS approach.
Migrating from traditional analytics to modern Open Data Science (ODS) is one of the most important trends of the decade. However, although this migration is critical to the core mission of many enterprises, practicing data science effectively has remained a thorny challenge.
Fortunately, modern technologies, by leveraging developer talent from across the world through the open source paradigm, now provide comprehensive, best-of-breed and cost effective ecosystems. Not only do these technologies meet current struggles, but they also address potential future challenges, since they can rapidly adapt in ways that proprietary Data Science technologies cannot.
In this paper, you'll learn why Open Data Science is the foundation to modernizing data analytics and:
- In what ways availability, interoperability, transparency and innovation are some of the most important benefits of the ODS approach
- The best path and important considerations when moving to ODS
- Why the Anaconda platform is the best solution for ODS
- How you can leverage your current investment in analytics while moving to ODS
P.S. - Interested in Open Data Science? Check out the webinar of the same topic HERE. Any questions? Contact us.
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