| Task | Description | Algorithms |
| Market Basket Analysis | Discover items sold together to create recommendations on-the-fly and to determine how product placement can directly contribute to your bottom line. | Association Decision Trees |
| Churn Analysis | Anticipate customers who may be considering canceling their service and identify the benefits that will keep them from leaving. | Decision Trees Linear Regression Logistic Regression |
| Market Analysis | Define market segments by automatically grouping similar customers together. Use these segments to seek profitable customers. | Clustering Sequence Clustering |
| Forecasting | Predict sales and inventory amounts and learn how they are interrelated to foresee bottlenecks and improve performance. | Decision Trees Time Series |
| Data Exploration | Analyze profitability across customers, or compare customers that prefer different brands of the same product to discover new opportunities. | Neural Network |
| Unsupervised Learning | Identify previously unknown relationships between various elements of your business to inform your decisions. | Neural Network |
| Web Site Analysis | Understand how people use your Web site and group similar usage patterns to offer a better experience. | Sequence Clustering |
| Campaign Analysis | Spend marketing funds more effectively by targeting the customers most likely to respond to a promotion. | Decision Trees Naïve Bayes Clustering |
| Information Quality | Identify and handle anomalies during data entry or data loading to improve the quality of information. | Linear Regression Logistic Regression |
| Text Analysis | Analyze feedback to find common themes and trends that concern your customers or employees, informing decisions with unstructured input. | Text Mining |