While excitement builds around predictive analytics, the reality is that many organizations are struggling to implement it in a meaningful way. Challenges include skills, executive and organizational support, and data infrastructure issues. Many organizations have not considered how to practically put predictive analytics to work, given the organizational, technology, process, and deployment issues they face. Addressing these issues involves a combination of traditional and new technologies and practices.
This TDWI Best Practices Report examines how organizations using predictive analytics are making it work. It looks at how those exploring the technology are planning to implement it. Finally, it offers recommendations and best practices for successfully implementing predictive analytics and machine learning in organizations.
Sponsored By Hortonworks, SAP, Tellius
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