With the right techniques, such as predictive analytics, we can now leverage that information to go beyond knowing what has happened in the past, to predicting what will happen in the future.
By finding previously hidden patterns in their data, companies can now replace “best guesses” with data-driven insights to amplify business results, reduce churn, increase marketing effectiveness and more.
And while every industry can benefit from predictive analytics, we’d like to focus on the impact it can have on financial services. Why is the technology so essential for banks and credit unions? When does it work well and what’s the difference between those who are on the leading edge and those who aren’t?
Beyond the Arc’s CEO Steven Ramirez addresses financial services predictive analytics in his recent interview with Money Summit.
See more from Beyond the Arc:
Beyond the Arc has resident experts in data science, passionate about customer journey analytics. They specialize in the use of statistics and machine learning, delivering actionable business insights to drive improvements in customer acquisition, churn, cross-sell, segmentation, loyalty, and revenue optimization.
Interested in learning more about financial services predictive analytics? Let’s start a conversation.