Menu
Our Methodology
Our Methodology
Our years of experience in the Advanced Analytics space has had us follow a robust methodology that is a sure-shot road to success. An innovative and out-of-the-box approach can help you go above and beyond simple analytics.
Our systematic and superlative execution sets us apart as we bring in various stakeholders together, understand their unique challenges and deliver a holistic analytics strategy across the enterprise. Our plug-and-play solutions bring in a definite advantage and reduce time to market in spite of being highly customized. All in all, we understand what the customer needs and we deliver it.
Take a look at how we go about delivering high customer experience, today and always.
Business Understanding
Brainstorm with business users to identify potential use cases for data analytics.
Data Gathering
Identify data sources and pull relevant data to build analytics data-marts.
Data Cleaning
Address the inconsistencies in the data.
Data Exploration
Deep dive into the data to understand what insights can be generated.
Data Visualization
Create data visualizations to better understand relationship between variables of interest.
Feature Engineering
Construct more meaningful features out of raw data.
Data Analytics
Choose appropriate machine learning technique (Predictive Modeling, Forecasting etc.) Train relevant models.
Continuous Monitoring
Schedule model runs to provide predictions at selected intervals. Monitor and tune models.
Services by Data Science Lab
Analytics Advisory
Develop and Implement solutions
Results-as-a-service
Provide your data and receive the result
Managed Services
Dedicated Services and support hosted at our location
Experiential Learning
Build a culture of learning with our experiential learning workshops
