Transform You Lending With Insightful Forecast and Smarter Analytics

Nowadays, companies have data but do not know what to do with these data, and they often face challenges in understanding customer behavior patterns, purchases, and their responses in buying products.

Predictive Analytics is a form of advanced analytics that uses current data and historical data to forecast different activities, customer behaviors, and future trends. It uses many techniques data mining, statistics, data modeling, machine learning, and artificial intelligence.

Predictive Analytics Tools & Technologies We Use:

R Software Environment

It is a programming language and a statistical computing environment

Apache Spark

It is an open-source distributed general-purpose cluster-computing framework.


Tableau Public is a service that allows you to publish interactive data visualizations to the web.

ELK Stack

The ELK Stack has three open-source products, Elasticsearch, Logstash, and Kibana. The ELK Stack allows the user to take data from any source, analyze it, and visualize it.


RapidMiner is a data science platform that provides an integrated environment for text mining, machine learning, predictive analytics, data preparation, and deep learning.


Dataiku’s single, collaborative platform provides both operationalizations of machine learning and self-service analytics models in production.