Terhi has worked on broad scale of customer analytics cases, especially in energy and manufacturing sectors. She enjoys working in collaboration with customer’s domain experts, and squeezing out findings from complex data to support operational decision making or product development. Terhi holds a PhD in computational physics, and in her work she applies advanced statistical, machine learning, and signal processing methods.
Do you want to know what factors keep your customers satisfied, or why your customer is dissatisfied? In this blog, I’ll open the core of customer churn analytics, and the benefits it offers to companies. It’s a question of the ability to predict and analyse things that weaken the customer relationship, or vice versa, which factors behind increased satisfaction come up in long-lasting customer relationships. More