Predictive Analytics Outsourcing

Predictive Analytics Outsourcing

The application of predictive analytics involves the application of a variety of statistical modeling, data mining, and machine learning techniques that assist in making better predictions about the future. It has enterprise wide applications from predicting customer buying behavior to influencing hiring decisions.

 

Galibright® combines proven expertise in predictive analytics and modeling across industry verticals to helps our customers maintain a competitive advantage and come out a winner.

Our Predictive Analytics outsourcing include:

We help you drill deep into customer data to predict and alienate high risk customers from profitable ones, predict customer behavior – what they want and when, predict their spending power, predict when they are going to leave and maximize customer life time value and profitability.
We help marketers optimize their marketing programs and identify revenue opportunities, increase response rates, customize and personalize cross sell and up sell offers, identify and target the most profitable customers, reduces wastage by keeping out high risk customers, save time and cost otherwise wasted on ineffective communication, predict customer life time value and profitability while building better long term customer relationships.
We Modeling helps you make risk informed decisions, predict risk and fraud before they happen by identifying risky behavior, increase recovery by making the best offers, minimize bad debts and maximize financial performance and profitability.
We help you accurately forecast demand, plan inventory and stock replenishment, apply the best sourcing and procurement strategies, optimize transportation and logistics to meet customer demands at the right time, optimize cash flow, reduce costs by lowering safety stock levels.
We help you manage, monitor and drive enterprise wide operational excellence from Manufacturing to Human Resources and help you streamline business processes efficiently and effectively based on changing business dynamics.

Predictive analytics involves the application of a variety of statistical modeling, data mining, and machine learning techniques that assist in making better predictions about the future