Visual Data Mining and Predictive Analysis

Extracting soon more value from your data

Brochure

The fastest and easiest Data Mining and Predictive Analysis Download

Data Mining and Predictive Analysis techniques of most current BI applications often require specific programming languages and modeling needs. Now with Quiterian Visual Data Mining Analytics, scrutinizing data for building predictive models will take you no longer than a few seconds. By putting Visual Data Mining and Predictive techniques into practice, the Self-service and Agile BI platform discovers hidden relations, extracts information which is implicit in data and anticipates to unplanned situations.

With techniques like Decision Tree (based on algorithm C4.5) or K-Means, not only does Quiterian Analytics explains what has happened, but also why has it happened and, moreover, what will happen next.

Time series:

This forecasting functionality is based on Holt-Winter, a fast and easy to use technique. It is easily adaptable to any changes you might want to make on trends and seasonal patterns. You can predict the monthly volume of sales or to anticipate to the number of orders over the next months.

Watch video »

K-Means:

Cluster or gather registers that are based on similar values of a group of fields. It could be extremely useful for making an advanced segmentation on specific or professional groups.

Watch video »

C4.5:

Decision Tree’s algorithm, used to classify data. It will help you discover the best products to recommend to your customers.

Watch video »

Association Rules:

Quiterian Analytics expands its set of advanced and predictive analytics techniques by adding the “Association Rules” method. As always, in an easy way that provides immediate results. Its ability to detect patterns of relationship or affinity between data generates instantly an applicable set of rules. From all the results obtained, only the most effective rules are automatically selected from the rest in order to provide key business information.

Watch video »