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Business Process Analytics: The path to operational efficiency

"We should work on our process, not the outcome of our processes"- W. Edwards Deming, Statistician. Efficient transaction processing, lower operational cost, minimum risk and high customer satisfaction are the primary objectives of most of the organization now days. To accomplish this and manage their enterprise operations, they are leveraging the power of various information systems such as ERP and CRM systems, web applications, cloud based solutions and many more. This forms a complex network of systems deployed to integrate the various business functions and streamline the business processes. The workflow being the heart of these systems manages processes to be followed for different operations. Be it a user entering an order, product shipped from a warehouse or bank acknowledging
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Sibanjan Das
Sibanjan is a Sr Analyst for Business Intelligence and Data Science practice at Zensar Technologies Ltd. He has a strong consulting experience on Business Systems and Data Analytics. A highly empowered consultant offering around 7 yrs of cross functional experience in the industry. He has helped several organizations to improve, automate and operationalize analytics for their business processes. He has a successful track record in coordinating completion of assigned projects for IBM's Supply Chain Analytics COE, NCS and Zensar Technologies Ltd. He has a Master of Business Analytics from Singapore Management University and enjoys tackling challenging assignments to improve processes for organizations by business automation and data science.
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