Predictive Analytics

Data explosion, Data science advancements, and proliferation of low cost, high-performance computing like never before have contributed significantly to the adoption of data analytics by enterprises. For businesses, data analytics helps in better decision making, improved efficiencies, higher productivity, enhanced user engagement and improved profitability. Over the last decade, we have seen most businesses adopt advanced analytics in one way or the other and the ones who have made it strategic and an integral part of their organizations are reaping rich rewards.

We have deep expertise in data sciences and we have been implementing advanced analytics projects including machine learning and deep learning to several Fortune 500 customers across the World. With this knowledge base over the years, we have been able to fine-tune our approach, methodology, solution accelerators and processes for any data science engagement. If you are looking for a partner with robust technical skills who would help you implement your predictive analytics system, look no further! We can help you discover, evaluate, and implement the business use case in a risk-free way.

Predictive analytics algorithms detect patterns and learn how to make predictions by harnessing historical data and their associated outcomes. The algorithms are also capable of adapting to new data and improve their performance over time.
With a dedicated centre of excellence for data sciences, mature and predictable processes and extensive experience in delivering business results through predictive analytics implementations, we are well positioned to help you realize the full benefits in the shortest possible time.

Our Service Offerings:

Supervised Learning :

Supervised learning is when an algorithm uses training data to learn the relationship of given inputs to a given output and calculates/predicts behaviour on the new data.

Algorithms: Linear Regression, Decision Tree, Random Forest, Logistic Regression

How can we help? Fraud Detection, Market Segmentation, Customer Segmentation, Pattern or Face Recognition, Image Classification, Marketing Forecasting, Advertising Popularity Predictions etc.

Unsupervised Learning

Unsupervised learning is when an algorithm finds patterns and classifies the data without being given an explicit output variable.

Algorithms: K-Means Clustering, Hierarchical Clustering, Gaussian mixture model

How can we help? Recommendation System,  Customer Segmentation, Spam Filtering, News Classification, Social Network Analysis, Search Result Grouping, Image Segmentation, Anomaly Detection, Big Data Visualization, Feature Elicitation, Email Classification among others.

Reinforced Learning

Reinforced learning is when an algorithm learns to perform a task simply by trying to maximize rewards it receives for its actions.

Algorithms: Markov Decision Processes, Temporal Difference, Policy Gradient, Value Function, Q-Learning and SARSA

How can we help? Optimize pricing system, Optimize trading strategy, Load balancing

Benefit from our team of highly experienced data scientists and ML engineers who can help you navigate every step of your advanced analytics journey. Talk to us today for a free consulting call with one of our senior subject matter experts who can help you understand the possibilities data analytics holds for your organization.