Knowledge is not useful in the hands of people that explore data all day. It is useful in the hands of those who 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.
What are your business challenges?
Some examples that we address:
Customer acquisition
- Should I approve this credit line?
- Who is the best target for my campaign?
Customer usage and growth
- Which campaign is the most promising one for which customer?
- Which clients will buy a car and when?
- Whom do we approach with a differentiated offer?
Risk and profitability
- How can we optimize our pricing model?
- How can we optimize our scoring models further?
- Apply PufferFish portfolio optimization
Churn
- Who will leave us and when? What should I do to avoid it?
Articles
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.
Advanced Analytics
What is it and why does it matter to me?
Business Intelligence
Paving the road for Augmented Analytics
Big Data
Big Data is not about Big Data
Artificial Intelligence
The Black Box Fallacy