The role of data mining in improving organizational and business performance

In today's digital world, where information is being produced at an unprecedented rate, the more data volume increases, the more difficult it becomes to understand and extract meaningful insights from it. Data mining offers a new solution to this issue that changes the decision-making methods of businesses, reduces costs, and increases their revenue. In today's world, the use of data in various organizational matters is very important, and organizational performance evaluation is no exception. One of the most fundamental methods of evaluating organizational performance is the use of a data-based approach. This approach is based on the collection, analysis, and use of data to evaluate organizational performance and obtain information to improve it. In the current era, data has been recognized as one of the main tools for evaluating organizational performance. By using data, organizational performance can be improved, possible errors can be reduced, and better plans can be developed for the future. Organizations should pay attention to improving processes to improve their performance. The main problem is the large volume of processes along with the wide variety of their characteristics, which increases the complexity of process improvement methods. Previous methods are not able to improve processes in a large volume of processes. The data mining approach supports improvement methods by identifying hidden valuable patterns in a large volume of processes. In this paper, a framework for applying data mining methods to extract hidden valuable patterns in a large volume of processes with the aim of providing improvement suggestions has been developed. To evaluate the proposed framework, a real set of processes along with their characteristics has been collected.

کلیدواژه ها:

Data Mining ، Business Intelligence ، Data Analysis ، Organizational Performance ، Intelligent Decision Making ، Business ، Digital Transformation