Expertise
Data Science
Algorithmic approaches to extract patterns, insights, and value from data, in a business decision-making context.
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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?
Predictive Analytics
Leverage structured and unstructured data to predict future events – e.g. trends, pricing decisions, fraud risk, customer attrition etc.
Forecasting
Drive superior operations and planning through demand forecasting, cost planning, granular sales, shipment forecasting etc.
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.
Text Analytics & Nlp
Draw meaningful insights from text data – e.g. conversation themes, topics, sentiment, sales leads, customer satisfaction etc.
Optimization
Once we’ve nailed down the target result, its requirements, and its technical specifications, we create the action plan that shows clients what we plan to achieve at every phase of the project.
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
What Our Clients Say About Our Blockchain Solutions
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John S