IBM Process Mining

Quick detection of errors, we do not need to be experts, just do the correct programming and enjoy a high-quality service.

The wait time for data mining results is extremely short, the implementation is good, and it has a familiar user interface to further simplify the manual process.

The exponential increase in processed data always consolidates a better performance of the financial statement.

There are expenses in data processing that are currently at their best, we have already avoided processes with technical errors.

We have boosted the performance of the processes by more than 70%.

Complex process delivery time is 60% faster.

Improve process performance with business data from other CRM and ERP tools.

Direct impact on saving time and money in complex processes.

It has very good data mining, and the visualization is special for us, in addition, the results are excellent, the automation is good, the programming is simple and the support team is unique and friendly to solve our doubts and problems. We have made great progress that we did not achieve before, errors in application launches are detected in time, and inconveniences are prevented.

more clients onboarded

better services provinding to the clients in terms of talents from difffrent domains

Increased process efficiency.

High accuracy.

High ROI.

Revenue growth.

It reduces operational cost and time.

Increased productivity/output.

improvements in business processes

time improvement

better efficiency which translated in higher throughput

help in complying with regulatory requirements

high quality data analytics

improvements in business processes

It generates more revenue.

Increases Returns On Investment.

Reduces operational cost and time.

It improves business processes performance.

Increased productivity.

Reducing risks and avoiding legal penalties

speed in executing tasks

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

Tracking key process for automation, reducing expetcted costs for RPA.

Bring insights for process improvement, reducing unnecessary work.

Overall data to management.

Workflow Optimization.

Task mining for RPA.

Improved client business processes

Easily identifiable process automation prospects

Removal of unnecessary business processes

Enabling of Automation

resources monitoring

cash flow monitoring

We have achieved expected positive ROI after eliminating bottlenecks.

Data analytics have enhanced effective planning.

It provides a great workflow, because it optimizes our processes, since it has adequate artificial intelligence that allows early detection and solution of problems, the acquisition cost is high, but with very promising and easy-to-use functions.

Obtaining data information is ideal, since it is an automatic process, it is intuitive and you always get a good productivity, the data analysis is very detailed.

Our supply chain has improved in high percentages by using IBM Process Mining, we have a better performance of the processes to be executed.

Machine learning is another plus point.

Boost productivity. By enhancing process analyzes with task mining for a holistic view of process and tasks.

Accelerate digital transformation.

Manage compliance.

> 30% process improvement for Wateer Management related companies (figures are coming from a real life use case / demo)

Because IBM Process Mining is so comprehensive, all processes may develop regularly, workflows are better controlled, and data visualization is enhanced and optimized. As a result, it is software that encourages efficiency in all of its elements. Implementing this process mining technique yields a plethora of advantages.

Because IBM Process Mining is software with excellent artificial intelligence, we can save a lot of time while also increasing productivity and reducing human error.

Return on Investment have yielded faster with increased production.

Provision of timely analytics have advanced decision making and planning.

The tool brought value by providing meaningful insights from the operational workflow and helped us plan the resources effectively.

IBM Process Mining helps limit our reliance on the human bias with data-driven, fact-based process intelligence.

Easy to identify automation opportunities, prioritize by impact and expected ROI.

It helps us to predict the impact and ROI of change initiatives and identify potential operational risks before making investments by performing what-if analyses.