FAQs

Process mining is the bridge between data science, predictive analytics and process science. Process mining covers business process improvement, process automation and workflow optimization.

Common business processes include Purchase-to-Pay (P2P), Order-to-Cash (O2C) or Customer Service processes, for instance. And while nearly every company has some version of these processes as the backbone of their business, there are many others that support a company’s daily operations, including Accounts Payable processes, Accounts Receivable processes, Procurement Processes, Order Management processes, and Inventory Management processes.

By their nature, processes are not static — nor do they always follow the path defined for them. Even the best-made plans go awry, and over time these deviations can become the rule without continual business process management and process improvement. Dynamic markets also force change: customer expectations, new product lines, acquisitions, changing geographies, and any number of other things can impact a process’ ability to perform at full capacity. This is where process mining comes in, as it enables process owners to find and fix inefficiencies in their business processes by giving them complete real-time visibility.

Processes are the day-to-day running of your enterprise. That’s why entire departments and teams are dedicated to process excellence — and why process mining is an essential part of their toolkit. Automated process mapping, discovery and analytics enable process excellence professionals to analyze and improve their processes to make sure they’re performing optimally and delivering on the outcomes they were intended to drive. When everything operates efficiently, a company is agile enough to adapt easily to outside forces, leaving more time to drive revenue through internal innovation, quality improvement and strengthening customer relationships.

Sure. Please drop us a request on our contact us form. One of our executive will get in touch with you soon for demo session on your convenient time.

Depending on your use case, Ploigot would need historical data pertaining to the process flow of your use case with time stamps, from which we generate event logs, event logs captures all process events on your process flow.

Ploigot ingests this data and starts process discovery to understand the variants of your process flow, then it performs analytics on the identified process variants and identify the root cause for the process deviations, flaws and inefficiencies in your real process flow.

At the moment, we generate a PDF report showing the different process variants and explaining the different root cause for your process inefficiencies. We are working also on dynamic reporting to make the results more real time.

The simplest way is to extract the required data in google sheets as described in the sample data template for each process. There are also other advance ways of automating this task by using web-hooks or connectors to your IT-systems.

We can integrate with SAP, Salesforce, Service Now, Snowflakes,…etc. We can also develop connectors or web hooks for custom IT - solutions

It depends on the process you mine for example account payable process you can find the root causes which make this process inefficient. The common root causes are unauthorized purchases, sending payment before delivery, disappearing Invoice and double payment. Ploigot helps you identify them and suggest the needed action to mitigate or minimize them.

We can build alerts whenever we see there is an deviation in your expected process flow and based on this we can take some actions like sending email or triggering some other IT- or ERP systems as a measure to resolve the issue.

The simplest way is to report in PDF format. However, more complex approach like dynamic view can also be built if needed.

Yes various autonomous agents can be deployed or triggered with Ploigot when certain conditions are triggered or detected.

We are working on solutions were we can generate alerts whenever we see a process deviation in real-time and then dynamically take an action to mitigate the impact.