Our Predictive Analytics Practice helps enterprises to unlock hidden knowledge for effective decision-making and optimization by using Big data and Machine learning

We provides the following services to clients:

Data Strategy, to drive competitive advantage from their data assets and analytic capabilities.
Model Building, to improve operational effectiveness and efficiency through innovative uses of data and analytics.
Deployment and Support. We support organization and capability building with our unique approach to change management

Predictive Analytics is about learning from past and current events to create models that predict future performance.

Remove guesswork out of the decisions and applies proven scientific methodologies and practices (Machine Learning) to find the right solution.

It is the difference maker for successful companies.

Unlike reporting and business intelligence solutions that are only valuable for understanding past and current conditions, predictive analytics helps organizations look forward.

This will allow companies the ability to proactively address potential problems before they become detrimental to the bottom line and create a distinctive competitive capability

Our Approach

Discover insights into important behaviors of people and machines

Machine learning is a method of data analysis that automates analytical model building. Using algorithms that iteratively learned from data, machine learning allows computers to find hidden insights without being explicitly programmed where to look.

Machine learning focuses on the development of computer programs that can change when exposed to new data

Shorten the “Distance” between the data assets and the People who need them

Implement & Act & Learn - Repeat
Putting processes in place for testing and evaluating predictive models is another key component of modeling initiatives. Predictive modeling produces actionable results for business executives and highlight future opportunities

Automated Workflows in Machine Learning

The vision is to make it easy to go from data to insights.
We Provide a way to get over the machine learning hurdles, using workflow automation and automatic model selection

We develop the process to be fast and frequent to empower real-time decision making.

Automated Workflow - One Click model with actionable code to be directly integrated into your systems (Production)

Standard Approach - Step by Step Workflow on data processing, Testing, Deployment

Predictive Analysis Common Uses

Detecting fraud.

Combining multiple analytical methods can improve pattern detection and prevent criminal behavior. As cybersecurity becomes a growing concern, high-performance behavioral analytics examines all actions on a network in real time to spot abnormalities that may indicate fraud, zero-day vulnerabilities and advanced persistent threats.

Optimizing marketing campaigns.

Predictive analytics are used to determine customer responses or purchases, as well as promote cross-sell opportunities. Predictive models help businesses attract, retain and grow their most profitable customers.

Improving operations.

Many companies use predictive models to forecast inventory and manage resources. Airlines use predictive analytics to set ticket prices. Hotels try to predict the number of guests for any given night to maximize occupancy and increase revenue. Predictive analytics enables organizations to function more efficiently.

Reducing risk.

Credit scores are used to assess a buyer’s likelihood of default for purchases and are a well-known example of predictive analytics. A credit score is a number generated by a predictive model that incorporates all data relevant to a person’s creditworthiness. Other risk-related uses include insurance claims and collections.