📄 Abstract
Business process improvement is a difficult endeavour that calls for sophisticated and reliable supporting technology. Behavioural pattern identification, predictive analytics, business activity monitoring, business intelligence systems, and "type simulations" are some of the new technologies and advanced analytics techniques that can help business users continuously improve their operations. However, business users are unable to effectively obtain timely analytics data due to the large amounts of event data generated by process execution during the business lifetime. This article offers a big data-based technology solution that gives business analysts insight into distributed processes and business performance. Users may quickly monitor business performance in highly distributed situation.
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📚 How to Cite:
Mrs. Shaik Shabana Parveen , Prof. V. Tulasi Das , TOWARDS INTELLIGENT AND DISTRIBUTED BUSINESS PROCESS ANALYTICS: A CLOUD-ENABLED BIG DATA FRAMEWORK , Volume 11 , Issue 2, February 2026, EPRA International Journal of Research & Development (IJRD) , DOI: https://doi.org/10.36713/epra26218