Big Data Analytics & the Internet of Things - Thursday, February 6 at 12pm ET
Key Takeaways:
Capture data from connected devices and provide real-time intelligence on KPIs
Provide compelling dashboards to increase traction in the sales process and grow revenue: "Customers and prospects alike are blown away when they see our demos." (VP of Engineering)
Build product value with fast, scalable, and seamless analytics in the cloud
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For more information of predictive analytics process, please review the overview of each components in the predictive analytics process: data collection (data mining), data analysis, statistical analysis, predictive modeling and predictive model deployment.
Top predictive analytics software and Top predictive analytics open source software.
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