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Data Mining Write For Us

Data Mining Write For Us

Data Mining

The goal of process exploration is to capture information and take action. Process exploration is a key capability in the set of tools required to transform a business through hyper-automation. It helps companies to evaluate and improve their operational processes, thus increasing the return on investment of the organization.

Process Mining is a data-driven approach that originates from the fields of process management and data science. It is designed to help organizations discover, monitor and improve business processes. It uses event logs, which are lists of activities with start and end timestamps from computer systems. Event logs can include activities such as receiving an order, delivering the product, contacting the customer, making the payment, etc. This data-driven approach provides insights into what people, systems, and organizations are actually doing, as opposed to what they think they are doing. The information helps identify bottlenecks and compliance issues for improvement. Artificial intelligence (AI) is increasingly being applied to process mining to extract better information.

Process Mining is a data-driven approach that originates from the fields of process management and data science. It is designed to help organizations discover, monitor, and improve business processes. It uses event logs, which are lists of activities with start and end timestamps from computer systems. Event logs can include activities such as receiving an order, delivering the product, contacting the customer, making the payment, etc. This data-driven approach provides insights into what people, systems, and organizations are actually doing, as opposed to what they think they are doing. The information helps identify bottlenecks and compliance issues for improvement. Artificial intelligence (AI) is increasingly being applied to process mining to extract better information.

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