A class of business intelligence applications that detects hidden patterns in a database or grouped data. This can be used to predict future behavior or outcomes. For example, data mining software can help companies find customers with common interests or identify products or services most likely to be bought together. Another use for a company is to prevent customer churn by predicting customers or segments who are likely to switch or leave, enabling the company to apply retention strategies on that particular segment.

Data mining uncovers patterns in data using predictive techniques. These patterns play a critical role in decision making because they reveal areas for process improvement. Using data mining, organizations can increase the profitability of their interactions with customers, detect fraud, and improve risk management. The patterns uncovered using data mining help organizations make better and timelier decisions. These tools can be supplemented to intelligent dashboards to provide you more powerful insight and enhance your decision making process.

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How can Data Mining help your organization
Data mining applications identify embedded techniques inside an application customized to address a specific business problem. Regardless of whether a company is aware of it, our daily lives are influenced by data mining applications. For example, almost every financial transaction is processed by a data mining application to detect fraud. Both data mining tools and data mining applications are valuable, however. Our solutions help organizations with data mining tools and data mining applications together in an integrated environment for predictive analytics.

• Customer Churn detection

• Market Basket Analysis for retailers

• Customer segmentation and behavior prediction

• Fraud detection in financial transactions

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