Process mining is a rapidly evolving field that brings significant benefits to organizations across a wide range of industries, with a focus on analyzing and improving business processes.
In the early days of process mining, researchers and practitioners relied on manual techniques such as flowcharting and process mapping to understand and improve business processes. No such things as root cause analysis or predictions existed.
With the advent of computers and the proliferation of data, process mining has become more automated and data-driven.
As we move into 2023, we will be taking a closer look at the evolution of process mining, as well as other predictions on the future of process mining, to help you stay ahead of the curve and make the most of this powerful technology.
In the future, it is expected that process mining will continue to evolve in a number of ways:
1. Increasing use of machine learning and artificial intelligence
With the rise of ChatGPT, artificial intelligence (AI) is on everyone's mind. In the world of process mining, the use of artificial intelligence and machine learning has already been trending for a while, yet, we want to make the claim that the trend will be more relevant than ever during 2023.
These technologies will allow organizations to analyze and interpret large amounts of data more quickly and accurately, and to identify patterns and anomalies in their processes that would be difficult or impossible to detect using traditional methods.
In particular, the use of deep learning techniques will enable process mining software to detect patterns and make predictions that are more accurate and useful.
2. Growing emphasis onreal-timeprocess monitoring
Data is the future oil of the business world. Businesses that are most efficient at obtaining and analyzing data will come out on top, but efficiency as a competitive advantage requires significant speed.
With real-time process monitoring organizations are able to identify and address issues as they arise, rather than waiting for a periodic analysis to be performed. This enables organizations to be more agile and responsive to changing business needs.
While we are on the subject of speed, we would like to point out that real-time process mining requires vendors to provide customers with a solution that can handle growing data sets. Watching the circle spin on your screen is not a sign of real-time monitoring. In 2023, software capacities will be pushed to their limits by customers searching for a long-term solution that scales as they grow.
Webinar: Unleash the full power of business process analytics
Tuesday 14.2.2023 at 14:30 EET / 12.30 GMT.
1. Introduction: find out how and why you should analyze your processes directly on Snowflake's Data Cloud
2. Benefits for enterprises using process mining on Snowflake
3. Customer story: connecting to Snowflake in 5 minutes and seeing results the same day
4. Live demo and Q&A (15 minutes)
There are only a limited amount of seats available in the webinar - save your seat today!
3. From single processes to a holistic, enterprise-wide process optimization
Initially, process mining was primarily used to analyze and improve manufacturing and production processes. As the importance of data in other fields is realized, and more process steps can be discovered in organizational systems, the benefits of process mining for organizations as a whole rise.
Thus, we predict that vendors will be under pressure to develop process mining software that is more accessible to a broader range of users. The use of process mining will develop even further from analyzing independent processes to holistic, enterprise-wide process optimization, where organizational and social mining comes into play.
4. An increased focus on data integration
On one side of the efficiency coin lies speed, and on the other side, data quality. Data quality is a subject that increasingly takes the spotlight when discussing data analysis. As data amounts increase, the urge to split data sets for better speed also increases, negatively impacting data quality. Furthermore, every time data is moved from one place to another, quality takes a hit.
Thus, we predict that we are going to see a fast-paced shift towards more cloud-based process mining and tools that are easier to connect or better yet, fully integrate with other IT systems used by organizations. The integration of process mining with other technologies and cloud-based approach is a step towards more advanced Industry 4.0 and IoT based process mining.
At QPR, we strive to be one step ahead to serve the changing needs of our customers.QPR ProcessAnalyzer powered by Snowflake provides you with near-instant monitoring at unlimited scaling capacity so that you can get the most out of your process data. Forget extracting, copying, and importing data to yet another system. QPR ProcessAnalyzer comes with direct real-time access to the data in your Snowflake Data Cloud.
Announcements ✨
QPR delivers SAP S/4HANA -solution to new client
QPR Software is delivering its SAP S/4HANA Vectorial -solution to a multinational pharmaceutical company for ERP system renewal, to help them understand their current processes and improve business performance.
We are excited to announce the latest updates to our process mining software, featuring new Snowflake capabilities. Our team has been working tirelessly to bring you the most advanced and powerful process mining solution on the market.
Heikki Veijola appointed as QPR Software's new CEO, effective March 1, 2023. Veijola has a background in international marketing and a history of leading business operations in the Microsoft and Salesforce ecosystems.
The new product page for QPR ProcessAnalyzer is designed to give you a comprehensive overview of the features and capabilities of our software. From real-time process analysis to easy reporting, you'll be amazed by what QPR ProcessAnalyzer can do. So why wait? Head over to the product page today and see for yourself what makes QPR ProcessAnalyzer the best choice for process optimization ➡️ www.qpr.com/process-mining/qpr-processanalyzer
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