UiPath vs Microsoft Flow
What is Process Mining?
Process Mining is a form of data mining with a specific focus on process use and workflow within an organisation by using data logs and user information.
This has the advantage that rather than relying on traditional process mapping through user interviews and internal process documentation reviews an accurate factual and objective view of the process can be achieved much faster.
Accurate Process Mapping
Traditional process capture and mapping relied on manual task, out dated documentation and subjective data.
Process mining uses accurate systems data.
Make Fact Based Decisions
Data is king and accurate data turns business decision making from an art form to a measurable, accurate and positive value driven exercise . Let your managers and executives decide with facts.
Increase Process Efficiency
Significantly ibcrease the effeciency of your processes and internal work functions. Process Mining will help you deliver value faster through process excellence.
Real Life Process View
Once the systems data has been captured an interrogated a real world, real life functional map can be created and reviewed.
A working model shows where there is process friction, lack of productivity and compliance.
Improve Worker Interaction
With data mining you can identify where your workers can spend the most productive time and where they don’t need to get involved. Free them from the drudgery of data tasks.
Cloud or Onsite
As with any modern technology your business can operate process mining in the cloud or within your own datacentre. This allows to manage resoruces more effectively so you can start smll and scale with success.
Significant Time Saving
Process Mining delivers a full understanding and comprehensive ovewrview of the prcesses that exist within your organisation. No longer do process reviews take months of interviews and long documentation reviews.
Improve Customer Service
Free your customer services team from undertaking processes that don’t require human attention or interaction. Remove processes that don’t add customer value.
As with any investment the proposed outcome must be measured, monitored and compared. Because a process can be isolated then modelled chnages to the process or when automated can demostratre accuratley how much value has been achieved.
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