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Knowledge is not useful in the hands of people that explore data all day. It is useful in the hands of those that don’t have that role in the organizations but need fast access to what data brings.
More than knowing what happened (Descriptive Analytics), high-performing companies need to know what will happen (Predict Analytics) and what actions they should take to make it happen (Prescriptive Analytics).
Those companies are using Advanced Analytics Techniques such as Machine Learning, Optimization, Sentiment Analysis, Cluster Analysis or Predictive Modeling to collect, analyze and process data that generate insights to make better business decisions, improving operations, creating smarter products and developing personalized marketing campaigns.
At Closer, we develop algorithms and customized mathematical models based on our Data Science, Data Analytics and Data Engineering experience, enabling companies to use the data at their disposal and converting it into competitive advantages.
Some examples that we address:
Customer acquisition
Customer usage and growth
Risk and profitability
Churn
Stay up to date and keep yourself informed about Data Science trends, best practices and much more. We hope you find these scientific insights relevant for your business.
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