IBM Process Mining vs. KYP.ai

at real time use I found is easy to use. if your algorithms is up to the point then you can extract a strong data accOrding to your strategy .which required for your R&D.and after using process Mining we converted passive clients into active and now were delivering them best service.

Incentivized

KYP.ai is a great tool where you need: - accurate and effortless time tracking of staff and processes - insights into areas for optimization/improvement - great visualization and reporting - multi-site operations management - continuous improvement The KYP.ai system allows for systematic operations tracking and optimization in environments where operator and process throughputs are important.

• I like that problems are detected before they become serious, it is a relief for us to have software with a great daily impact on our system.
• This software identifies bottlenecks very quickly.
• Real-time monitoring prevents future problems from occurring and is quickly fixed.
• Professional technical support team attentive to our needs.

Incentivized

• Very easy to deploy into the environment
• Tracking of all PC based activities
• Excellent customer support

• It is not software with good scalability, I do not see improvements in its very advanced constants in its updates.
• The central structure of this tool has made it difficult to use.
• Everything works as it should when it is implemented for the development of new projects.

Incentivized

• Ability to track activities that are done not on the tracked PC (requires manual tracking)

I think it is the best process mining software that can currently exist, others are similar, but do not meet our expectations, we will use it for a long time, it is a system that makes us productive with minimal manual effort, the quality of the results they are amazing.

Incentivized

The initial integration/configuration is complex and hence takes time. Once integrated it is very easy and nice to use. We can have the analytics with a very user-friendly dashboard. It provides detailed information which helps in finding causes and hence in improvement. I would say it is a very nice and user-friendly tool.

Incentivized

We have received all the detailed documentation and requested information even on Friday evenings. The tutorials and examples are great for starting the implementation and optimizing it a long the way to the required custom internal needs. If needed, there is also the option to book a consultation with an IBM specialist which can recommend the proper processes of implementation.

Incentivized

Identify automation opportunities, prioritize by impact and expected ROI, and fast-track implementation with automated RPA bot generation. IBM Process Mining helps us by identifying non-conformant cases to identify the root causes of deviations, stakeholders involved and impact on key performance indicators. Accelerate digital transformation and through data-driven insights we are able to make faster and more informed business decisions.

Incentivized

Much easier to deploy, much less overhead when getting to the first install, certain features that are not available in other products (process mining). While KYP.ai is not a work force planning tool, it provides a great baseline product for operations tracking and management. There are enough insights to take operations to the next level.

• Disbursement and vendor payments are only two examples of the kind of routine processes that might benefit greatly from being automated.
• IBM Process Mining has helped us better understand our consumers by revealing patterns of behavior that can be explained by the use of AI.
• By automatically detecting, verifying, and bettering workflows, IBM Process Mining helps me locate inefficiencies and opportunities. That makes it simple to distribute assets where they will have the greatest impact, boosting return on investment.

Incentivized

• Getting away from manual tracking to fully digital measurement, eliminating errors and subjectivity
• Ability to optimize operator utilization and process throughputs