Advanced Business Analytics team members and technical staff have decades of experience in statistics, forecasting, operations research, optimization, and simulation and database management. Our process typically follows six phases:
- Business Understanding
- Data Understanding
- Data Preparation
- Modeling
- Evaluation
- Deployment
Our professionals draw upon a large set of analysis and modeling techniques, which include:
- Data Gathering, Reporting, and Warehousing
•Data Analysis
•ETL Development
•Database Administration
•Report Development
•Data Warehouse Development, etc.
•Regression (including linear, non-linear, and logistic)
•Cluster Analysis
•Factor analysis
•Discriminant Analysis
•Design of Experiments, etc.
- Operations Research Techniques
•Linear, non-linear, and quadratic programming
•Integer and mixed-integer programming
•Decision Trees
•Simulation Modeling, etc.
•Exponential Smoothing Models
•ARIMA Models
•Box-Jenkins Models
•Multivariate Regression
•Seasonal Models, etc.
- Artificial Intelligence Methods
•Genetic Algorithms
•Neural Nets
•Simulated Annealing, etc