What is data science…. actually?

The Data Science Lifecycle

Data science lifecycle culminates with selecting the winning model strategy and implementing it into an application where real business value can be realized. Data will used to inform decisions, optimize processes, and improve products and services across a very wide range of business problems.

How can we help?

Our data scientists are working with our customers to debunk the myth of data science being a complicated science or some sort of black magic and helping them, to actually implement solutions with clear outcomes.

Our Most Recent Customer Story

Our customer is a leading financial services provider, specializing in short-term consumer loans, bill pay, and prepaid debit card services, as well as the largest owner operator of check cashing stores in the United States.

Use Case

Predict credit worthiness of an application

for payday loans, installment loans and title loans

Our Solution

We have deployed built-in smart functions and algorithms with predictive analytics, regression, clustering, decision trees, machine learning, data mining and statistical process controls. Model development timelines have come down from twelve months to two months, making it easier for the customer to deploy new models quickly and efficiently. The solution is helping the customer to uncover new business opportunities and revenue streams.


Machine Learning

Data Monitoring

Data Management

Data Deployment


Full Spectrum Analytics

  • Predictive Analytics
  • Regression
  • Clustering
  • Decision Trees
  • Neural Networks
  • Data Mining
  • Statistical Modeling
  • Statistical Process Control