Item: IBM Process Mining
Rating: 9
Author: Daniel Souza

Use Cases and Deployment Scope

e use IBM Process Mining to capture and survey processes that are candidates to be automated either via RPA or some other strategic technology. Process Mining helps us understand the process as a whole and its bottlenecks, thus enabling us to optimize our efforts to bring the greatest possible value to the customer.

Pros and Cons

Detect where the process takes
Perform process capture

Enable mechanisms for data processing before applying mining

Return on Investment

Improved quality in deciding where to apply RPA
Risk reduction when choosing a new RPA project
Optimization of the duration of processes after applying adjustments to the points indicated by IBM Process Mining

Support Rating

Qualified support team always available to solve problems, answer questions and guide you through the implementation journey

Key Insights

Do you think IBM Process Mining delivers good value for the price?

Yes

Are you happy with IBM Process Mining's feature set?

Yes

Did IBM Process Mining live up to sales and marketing promises?

Yes

Did implementation of IBM Process Mining go as expected?

Yes

Would you buy IBM Process Mining again?

Yes

Other Software Used

IBM Robotic Process Automation, IBM Business Automation Workflow

Likelihood to Recommend

If the process has a structured log, it will make it much easier to apply IBM Process Mining, otherwise you will have to either use the capture tool or modify the current process to generate structured data and import them into the tool

Best tool for improving your processes

Overall Satisfaction with IBM Process Mining