Process management is crucial for the development of any business. It can come under the radar of problem solving and involving innovative methods. Basically while creating the “current state” processes, every company has to observe a detailed description of business process performance.
When it comes to business process reengineering, any organization can show interest in a “to be” process on how the project should be performed.
The problem arises when they show ignorance on “as is” process, which denotes how to perform the current process. You have to understand the current process to know if you can invest in improvements. It is undeniable that understanding how your current process functions is vital while investing in different improvements when there is any performance problem going on.
There are companies adopting incremental improvement approach who tend to spend more time to analyze every “as-is” process. All their present process analysis is on the basis of sticky notes and interviews. Executives might regard them as subjective.
With process management, companies can face lack of connection between the company’s enterprise information system and what information they offer the user. When you are all set to analyse how all your process performs on a daily basis, then you need to involve more manual steps while synthesizing and gathering data. Not even process improvement approaches such as Lean and Six Sigma have sorted out these issue.
Notifications only about new new blog post updates.
Process mining can be termed as an analytical discipline to discover, monitor, and improve business processes the way they are. You can extract knowledge from different event logs which can be found in current information systems.
Process mining is fully capable of sorting out these issues. Owing to this, in the recent days, SAP has been gaining immense attention from business network. Gartner has went on to publish an elaborate 2018 market guide with plenty of use cases to handle process mining while analysing vendor community.
Process mining can let organizations avoid deviations while carrying out business processes. It can pave way for easy information capture from their enterprise transaction system. With more data-driven and information-oriented approach, you can perform plenty of key processes.
Creating event logs while receiving an order, delivering a product and making a payment is possible. With the logs, you can view the computer-mediated work along with information on who carried out the action, what time it took and how different it is from the average time taken.
Process analytics enables you to involve key performance indicators for your process. This can help your company focus on important steps when you combine RPA with this.
Robotic process automation can be defined as a form of business process automation technology on the basis of metaphorical software robots or based on digital workers capable of artificial intelligence.
Robotic Process Automation (RPA) can allow every business to automate their redundant, mundane tasks. When you find out about the process deviations through process mining, you can easily sort it out by automating it via RPA.
Getting a dose of AI algorithms can simplify detecting the major variation causes while involving process mining. For instance, whenever a customer requires a credit check, the overall process can be slowed down. You can easily streamline it through iRPA.
You need to be choosy about applying process mining at the right place. Every organization can expect the maximum value while digitizing a task and handling a few unstructured work with process mining and RPA. Every process improvement professional would be thankful that it has more capability than involving data to improve cross functional, complex business processes.
All these capabilities could help those whose tasks involves overseeing, improving or troubleshooting different operational business processes. When you want to develop any current state process flows, if you involve manual processes, you cannot get it done automatically without any labor-induced work. With Process mining and RPA, you can easily understand what’s happening behind the screen and go on to fix all the issues.
With Process mining and RPA solutions such as SAP, you can streamline the business process without deviating or confusing the user.
SAP iRPA is an intelligent robotic automation solution through which you can combine the power of emerging technologies such as Artificial Intelligence, Predictive Analytics and Machine learning to automate all those manual, boring tasks.
If your business goal would involve enabling your workforce to focus constantly on customer-oriented activities as well as deep-end business performance analytics, then you can involve SAP Process mining and RPA solutions without any second thoughts.
Are you looking for SAP solutions to handle process mining and iRPA? iQuantM is here to support.
The Realize phase in the S/4HANA conversion consists of key processes such as SUM (Software Update Manager), Cross-Application Follow-On activities and the Application-Specific Follow-On Activities. This blog will give an overview of the three activities in the realization phase and provide the list of SAP