Introduction to Predictive Analytics
Predictive analytics, artificial intelligence, and machine learning are trending buzzwords among application teams today. MIT Sloan Management Review reports that 91 percent of business leaders expect to see new business value from Artificial Intelligence (AI) implementations in the next five years. And predictive analytics is now the #1 feature on product roadmaps, according to Logi’s 2018 State of Embedded Analytics Report.
But why is predictive analytics the “next big thing?” And what value could it offer your company?
In the Definitive Guide to Predictive Analytics, we offer a comprehensive overview of the topic. We dive into real-world examples, share guidelines on how to get started, and answer common questions like:
- How are companies currently using predictive analytics in business applications?
- How can I solve common data challenges?
- How will this impact my go-to-market strategy?
- What is the right and wrong way to price predictive analytics?
- How do I maintain our predictive models?