Consulting
Data Science
Build On Your Existing Data Capabilities Through A Consulting Partnership
Our Data Science Acceleration Team (DSAT) 2.5 is great for any business looking to ramp up their data capabilities. A DSAT 2.5 package comes equipped with a team of interchangeable specialists fitted to your needs. To optimize your engagement outcomes, a mix of data scientists, engineers, developers and the project lead will work the equivalent of two and a half full time resources. Whether you are a small startup with no data science team or a multi-billion dollar financial institution with more projects than the bandwidth you have to support, DSAT 2.5 can help move you forward.
Easy & Fast
Get started ASAP. Just sign up for a team and we are sitting next to you, rolling up our sleeves, and making progress.
Customizable
We know that your needs can change — specialists swap in and out as needed for different aspects of the solution.
Low Risk
Did we mention that you can try for 3 months at a discounted rate? No obligation and you can choose to terminate at anytime.
Domain Expertise
25+ years of experience in banking, insurance, and retail — giving us the right mix of skill and knowledge to tackle even the toughest problems.
We Work Across Industries
Healthcare
We’ve achieved big wins through text mining, fraud detection models, customized dashboard reporting, and predictive analytics.
Insurance
We dig deep into their pricing insurance policy renewals through our intuitive and collaborative app ClearGrade.
Retail
We generate insights across products/promos, summarize sales and profit data, and maximize profits.
Financial Services
We’ve solved the toughest business problems through methods such as predictive model building and dashboard implementation.
Grocery
We help clients put valuable assets to work to improve pricing, promotion, and B2C communications to increase profitability.
We provide our clients with
Strategy development
Data assessment
Data augmentation, integration, and maintenance
Predictive modeling and statistical inference
Supervised deep learning with neural networks
Generalized linear models
Machine learning modeling
Cluster analysis
Principal component analysis
Classification models
Data visualization
Time series modeling
Risk analytics
Loss driver analysis
Unstructured data mining
Big data programming
Data anomaly detection
Management dashboards
Recommendation systems
Website analytics
