AI models to improve customer trust

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AI models improve customer trust and loyalty by getting right data

Last Updated: February 13, 2024By Tags: , ,

Data mining a way to extract and get right data

Data mining refers to the use of various techniques in order to analyze the data and to extract the required information. Data mining is used in fraud detection, credit risk management etc. Many of the banks in Pakistan use data mining technique in order to detect suspicious transactions. If any suspicious transaction is recorded, the card is immediately blocked after a verification code.

In simple words, we can say data mining is the process to find hidden meaning from a large set of data. Huge amount of data of data is required to perform data mining.

How data mining is performed?

Basically, in data mining we discover patterns and trends in large set of data. It can be divided into four steps used to complete data mining process:

  • In data warehouses, data is collected and loaded.

  • Data analysts, analyze the data and decide how it must be organized.

  • Some applications help to organize and sort large amount of data.

  • The end-user organize the data in such a format which is quite easy to read, such as graphs and tables.

Data mining techniques

There are various data mining techniques which are used with the purpose of converting huge amount of data from data warehouse into a useful output. Following are some most popular data mining techniques

  • Market basket analysis which searches for relationship between different variables.

  • Classification uses some predefined classes which are assigned to objects.

  • Clustering is very similar to classification

  • Decision trees which are used to predict outcomes.

  • Neural networks process data through the use of nodes

  • Predictive analysis uses historical information, and build graphical or mathematical to forecast future outcomes.

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