State-of-the-art process mining tools with AI support enable companies to generate truly valuable insights from their process data. We will show you six such solutions. […]
Companies that want to automate their business processes can no longer avoid process mining. After Robotic Process Automation (RPA), Enterprise Service Management (ESM) and various efforts to automate ERP tasks, process Mining represents the next logical step. At the heart of this automation initiative is the fact that in many companies hundreds, thousands or even millions of processes are a reality that must somehow be logically merged by the IT department.
Basically, Process Mining transfers all the clever work that has been put into data mining and flanges it to an ERP or RPA system to detect problems– ideally even before they occur. But that’s not all: With the help of process mining, data flows can be correlated. Although process optimization itself remains a manual task, state – of-the-art process mining tools can provide a good basis for this task, uncover potential weak and construction sites and take over many monitoring tasks.
Here are six tools you can trust when it comes to process mining.
Celonis Execution Management System
Celonis ‘ Execution Management System (EMS) brings business events from ERP, CRM or accounting systems into a form that can be tracked and analyzed with AI tools. The basis for this is provided by ready-made data collectors – both for servers (SAP, Oracle, Salesforce) and for desktop environments (Outlook, Excel).
If there is enough tracking data to link events together, the Celonis EMS can track the data flows and mark abnormalities in the system accordingly. AI is finally used in the form of Jupyter notebooks – these have access to process events and can analyze them with the help of various, open-source Python models.
Kofax Insight provides a collection of tools to streamline business processes using RPA. The tool collection includes Invoice Portal, OmniPage OCR and SignDoc, which mainly digitize paper-bound processes. The Mobile Capture Platform, for example, combines smartphone cameras with document processing to make it easier for field workers to work.
The Analytics capabilities are bundled into a product called Insight, which consists of three different layers, namely, an Analytics Server, a Tool for metrics and a Dashboard. The tools are designed for no-and low-code programming, so that even non-developers can generate insights from raw data.
The toolset of myInvenio is suitable for tracing rather trivial processes such as inventory tracking and invoicing, as well as for higher-level processes. At the heart of the algorithm is the “Decision Rule Miner”, which first “considers” all existing rules and then analyzes how accurately or meaningfully they are selected.
An interesting simulation Feature is also on Board, So users can experiment with the model and rules, and find out how the Software behaves in extreme situations.
PAFnow is particularly suitable for companies that use Microsoft 365. The main product is based on Microsoft’s PowerBI and combines Business Intelligence with artificial intelligence, to analyse, process and data flows better. The tool can be used both locally in Office 365 and via the cloud.
Information from third-party systems (for example SAP) can also be integrated into PAFnow via connectors. In addition, extensions are available for certain tasks, such as internal audits. The results are displayed in the form of customizable dashboards, PDF reports or PowerPoint presentations.
Signavio Process Intelligence
The Berlin startup Signavio, recently acquired by SAP, offers everything companies need to turn raw data into meaningful insights with its tool collection. Process Intelligence refers to the use of AI, which independently examines the data for problems and changes.
Teams can collaborate to model workflows through Process Manager and define alarm message values. Process Intelligence widgets monitor the model and provide real-time insights into the network’s data flows.
UiPath Process Mining
UiPath offers one of the most sophisticated toolsets for robotic process Automation – including a complete set of graphical UI tools that can be delivered via the cloud. The manufacturer has been using artificial intelligence for a long time – for example in the form of natural language processing.
The process mining extension (formerly ProcessGold), acquired through an acquisition, works with log files to automatically detect workflows and presents them in the form of a useful diagram with case IDs and timestamps for each event. Even if no task can be automated via a bot, Maagers can still learn about bottlenecks and problems in their processes.
UiPath now also relies on” task mining”: Algorithms are supposed to recognize data patterns in order to uncover new possibilities for automation.
This post is based on an article from our US sister publication CIO.com.