Continuum needed to analyze vast historical data records to isolate causes of customer churn and was doing regression work in Excel, but realized that machine learning (ML) was needed to effectively mine their data. While extremely data savvy and technically capable, Continuum didn’t have the capacity to divert resources to creating in-house machine learning models but still wanted the ability to “look under the hood” and tweak the models as needed. This, plus the time commitment required, ruled out a custom
machine learning model built by a third party. They needed an automated solution that didn’t require a significant lift to get running, and also had a short time to build and deploy. These needs are what led them to begin an exploration of available software solutions.
90% of Kraken users build and deploy their own machine learning model within 30 days of signup.
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Kraken has already proven that the prediction outputs allow the front line teams to target their interventions and make a very noticeable impact on appointment attendance.
Kraken provides an intuitive user interface and the learning curve is as flat as any product I have used. In a matter of a few weeks, we were able to deliver prediction results and provide meaningful data to front line staff.
We’ve been able to analyze customer repurchasing patterns on our retail website, score leads, and forecast future sales.
Easy to use and people are great to work with.
I love the ease of use that Kraken makes getting started with Machine Learning.