Data Science

Algorithmic approaches to extract patterns, insights, and value from data, in a business decision-making context.

The end-to-end pipeline of Data > Modeling > Decisioning > Deployment, when integrated and applied in specific business decision context, can deliver clear and measurable impact both on revenue and cost. Our objective in delivering data science is just that – ensuring measurable business value.

How can Data Science help you?

big data analytics digital marketing

Machine Learning

New age algorithms to derive value from complex and big data – e.g. real-time bidding, IoT sensor data based maintenance, recommender systems.

marketing data analytics

Predictive Analytics

Leverage structured and unstructured data to predict future events – e.g. trends, pricing decisions, fraud risk, customer attrition etc.

digital marketing analytics


Drive superior operations and planning through demand forecasting, cost planning, granular sales, shipment forecasting etc.

big data analytics digital marketing

Text Analytics & NLP

Draw meaningful insights from text data – e.g. conversation themes, topics, sentiment, sales leads, customer satisfaction etc.

marketing data analytics companies


Achieve optimal revenue, margin or cost in a given decision framework – e.g. maximize marketing reach, resource optimization, inventory management.

Our Approach

Most data science problems can be divided into three sequential phases – problem definition & data discovery, model estimation & validation, insights & business application. We have broad frameworks to systematically approach a wide variety of data science problems to ensure business value.

  • phase 1
  • Problem Definition
  • Data Preparation
  • Data Discovery

  • phase 2
  • Feature Engineering
  • Model Development
  • Model Validation

  • phase 3
  • Insights & Inferences
  • KPI Dashboards
  • Production & Monitoring

Case Studies

Operations Planning and Analytics Solution

Real-Time Bidding Models Power 200 MM Digital Ads Every Day

supply chain analytics companies

Predicting Emerging Flavors And Ingredients Across 2 Million F&B Products In 75 Countries

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