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This paper explores how advanced analytics can enhance business process performance by examining key techniques, implementation pathways, benefits, and potential obstacles. Advanced analytics encompassing data mining, machine learning, and both predictive and prescriptive approaches. It is increasingly embedded in organizational workflows to improve efficiency, productivity, and competitiveness. The discussion covers methods such as process mining, predictive modeling, prescriptive optimization, automation, and artificial intelligence, alongside strategic enablers including planning, change management, infrastructure readiness, workforce training, and continuous performance tracking. The study outlines tangible advantages, from operational streamlining and productivity gains to more informed decision-making, supported by cross-industry case illustrations. At the same time, it acknowledges persistent challenges such as data privacy risks, integration complexities, and resistance to organizational change. Finally, it recommends future research into emerging AI-driven technologies, enhanced safeguards for data governance, and the cultivation of a strong culture of evidence-based decision-making.

This study has examined the pivotal role of advanced analytics in enhancing business process performance, offering an in-depth overview of key techniques, implementation frameworks, benefits, and challenges.The integration of advanced analytics into organizational processes delivers substantial benefits, including improved efficiency, enhanced productivity, reduced operational costs, and more informed decision-making.Organizations must evolve their analytics strategies to leverage these developments, seize new opportunities, and maintain a strong market position.

Berdasarkan paper ini, beberapa saran penelitian lanjutan yang menarik adalah pertama, perlu adanya penelitian lebih lanjut mengenai bagaimana organisasi dapat mengintegrasikan teknologi AI yang sedang berkembang ke dalam proses bisnis mereka, khususnya dalam hal otomatisasi dan pengambilan keputusan. Kedua, penting untuk meneliti bagaimana cara terbaik untuk melindungi data sensitif dan memastikan tata kelola data yang baik dalam lingkungan bisnis yang semakin digital. Ketiga, penelitian tentang bagaimana membangun budaya organisasi yang berorientasi pada data dan pengambilan keputusan berbasis bukti akan sangat bermanfaat bagi perusahaan yang ingin meningkatkan kinerja mereka secara berkelanjutan. Ketiga saran ini saling terkait dan dapat memberikan kontribusi signifikan dalam meningkatkan efisiensi dan produktivitas bisnis di era digital.

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Pages12
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