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.
- Statistical Techniques
- 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.
- Forecasting Techniques
- Exponential Smoothing Models
- ARIMA Models
- Box-Jenkins Models
- Multivariate Regression
- Seasonal Models, etc.
- Artificial Intelligence Methods
- Genetic Algorithms
- Neural Nets
- Simulated Annealing, etc
