Companies constantly capture large amounts of data. But how much of this information is actually used?
Data Mining helps evaluate large volumes of information in order to detect patterns, resignify relationships between data, and simplify reading and understanding the information.
The development of predictive classification and regression models makes it possible to detect hidden rules and therefore automate processes, anticipate risks and trends, and make more precise decisions that will give your organization a true competitive advantage.
Grouping and classifying the data permits a proper segmentation of customers. For instance, it can help identify opportunities to make packages of offers and services.
Establishing correlations between types of customers or between consumptions, will help to understand what product should be offered to each customer according to purchase trends.
Early detection of risks will help anticipate problems and solve them before they happen. With this information, we could take actions to prevent the withdrawal of the service or optimize a process.
With predictive models you can make more precise decisions, with statistical basis and less margin of error. For example, you might be able to identify process automation opportunities.
Statistic based hypotheses supported by predictive analysis.
Detection of optimization and / or process automation opportunities.
Discovery of trends in user and customer behaviors.
Extraction of significant information from large databases.
Identification of hidden factors, trends and correlations that reveal business intelligence.
Use of technologies that allow automatic data analysis.
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