In today’s fast-paced business environment, organizations aim to streamline processes and eliminate waste. Lean Six Sigma is a popular method that combines techniques to achieve these goals by identifying and removing the causes of waste, errors, and variability. Productivity mining is a game-changer in this context, automating the information gathering, analysis, and monitoring of computer-based processes to provide detailed insights to feed into Lean Six Sigma. This post explores how the marriage of productivity mining and Lean Six Sigma can revolutionize process improvements and drive success.
Streamlining with Productivity 360
KYP.ai’s Productivity 360 platform speeds up process optimization by automating the examination, visualization, analysis and sustaining parts of the activity. When done manually, the work can take experienced staff away from their daily work in order to observe teammates at work to gather information about business processes. In large, organizations with complex processes in many industries including healthcare, pharma, FMCG and global shared services, this can lead to thousands of hours of manual effort involving an equally large number of staff working in different locations around the world, and much effort to coordinate the process review cycles across many different time zones.
Automating this activity not only saves thousands of hours of manual effort but it allows process workflows to be recreated digitally with every aspect of them examined in detail. AI-powered analysis joins the dots to provide a complete and comprehensive picture of each process showing the bottlenecks, and other causes of inefficiency. With this technology, organizations can easily identify variability or non-compliant steps, and opportunities for automation as well. Moreover, productivity mining offers additional insights on workloads, work allocations, and the impact of slow software systems and IT infrastructure. This wealth of process intelligence enables Lean Six Sigma reviews to be expedited.
Enhancing Value and Compliance
Productivity mining not only enables process optimization but also enhances value creation and compliance. By identifying time-consuming steps and bottlenecks, organizations can allocate resources more effectively, reducing wasteful activities and increasing productivity. The granular insights generated by productivity mining also highlight non-standard steps, enabling organizations to streamline processes and ensure adherence to regulatory requirements.
Sustainability and control
An important part of Lean Six sigma is to sustain process improvements and quality. The productivity mining platform monitors processes before and after changes have been made to them to highlight outcomes and whether more action is needed to sustain quality. The insights allow organizations to make new adjustments and further improvements.
Conclusion
There is a good deal of synergy between productivity mining and Lean Six Sigma for process efficiency. The automated information gathering steps, analysis, on-going before and after monitoring of processes allow organizations to streamline their processes at an enterprise level. Productivity mining improves organizations’ ability to drive efficiency, and enhance compliance and control over a their processes, and validate the project benefits, ultimately leading to improved productivity and business outcomes at scale.
KYP.ai 
Sarah Burnett