With Q3edge, you can improve your business processes continuously. Start with designing business strategies and map with business objectives and processes. Understand business problems to identify source of problems as well as improvement opportunities. Q3edge process modeling approach defines the complete business / enterprise architecture which becomes the starting point for process execution. Using business intelligence, you can monitor process driven business performance through real time data analysis and identify how to optimize business processes. Q3edge Robotic Process automation delivers faster process output with almost eliminating possibility of errors with an additional advantage of reducing cost of delivery by more than 30%. System integration, virtually, integrate any IT system to make effortless and seamless LEAN execution application system in organization.
You can talk to your data to get information in natural language and our Chat Bot solution fully integrated with Artificial Intelligence provide you right information as and when you require. Our chat bot is compatible with any message service or any app you wish you integrate with.
Q3edge Digital Enterprise Model: Mutually Exclusive, Collectively Exhaustive
Process Workflow Automation using
Advanced analytics and lower cost computing give companies a powerful tool to manage business performance, as fast as every minute. IF your data does not have any purpose, you are only spinning the wheels. Q3edge business intelligence will integrate your data with performance metrics and provide a real time monitoring capability. You will get an insight about the competitive advantages and truly “listen to your customer” using intelligent data mining. An integration of business performance metrics with business objectives and strategies, help an organization to monitor the status and health of critical for organization, where to focus, when and how much. In addition, with the simulation of business processes on different parameters will help organization to predict the expected output with as good as 95% confidence level.
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