Get Gartner's Guide on to Building Effective Data Science Teams.

Fill out the form to Download the Newsletter

“Data scientists are becoming a must-have when you have at least two or three solid advanced analytics scenarios.”

- Alexander Linden, Analyst, BI and Analytics, Gartner Research.

More and more enterprises are establishing or building up their data science teams to transform their companies into analytic and data driven organizations. But, building a data science team is difficult and contains many potential pitfalls. Business and IT leaders need to understand that the complexities and the best practices around building effective data science teams.

In the report you’ll learn about:

  • Advantages of a Data Science Team
  • How Many Data Scientists Are Needed?
  • Where to Place These Teams

About Gartner Research

Gartner, Inc. is the world's leading information technology research and advisory company, delivering the technology-related insight necessary for our clients to make the right decisions, every day.

About Skytree

Skytree – The Machine Learning Company® is disrupting the Advanced Analytics market with our enterprise-grade machine-learning platform that gives organizations the power to discover deep analytic insights, predict future trends, make recommendations and reveal untapped markets and customers. Skytree’s mission is to bring the power of state-of-the-art machine learning to everyone: including data scientists, developers and non-experts alike.

The Skytree machine-learning platform is built for speed and scalability, allowing users to build the most accurate machine-learning models, faster. Skytree machine-learning software delivers an end-to-end model building experience, from data preparation to model creation and deployment. Skytree automates the machine learning model-building process, saving you time. Machine-learning models using Skytree can be built using all of your data, both structured and unstructured, with no down sampling required.

© 2016 Skytree, Inc. All Rights Reserved. | 1731 Technology Drive, Suite 700, San Jose, CA 95110 | +1.408.392.9300