Maximize Your Business Process Intelligence with KTern's Business Process Mining

Digital Maps Mar 3, 2023

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In today's rapidly changing business landscape, organizations face increasing pressure to optimize their operations, reduce costs, and improve customer satisfaction. To achieve these goals, many companies are turning to business process mining, a data-driven approach to analyzing and optimizing their internal processes.

In this article, we will explore the concept of business process mining, its benefits and limitations, and some of the key steps involved in implementing a successful process mining initiative. We will also look at how KTern.AI provides process mining to improve their operations and gain a competitive edge in their respective industries

Overview of SAP S/4HANA

S/4HANA was first released in 2015 and is intended to provide users with real-time analytics, instant insights, and streamlined business processes. The system is designed to help businesses of all sizes and industries to automate key processes, improve efficiency, and make better business decisions based on real-time data.

It is also designed to provide a simpler, more intuitive user experience and to be more easily integrated with other SAP and non-SAP systems. S/4HANA comes in both on-premise and cloud-based versions and offers a range of modules for managing finance, sales, logistics, production, and other key business functions.

What is Business Process Mining?

Business Process Mining is the practice of analyzing and improving business processes using data from various sources, including event logs, databases, and other digital records. The goal of business process mining is to identify inefficiencies, bottlenecks, and areas for improvement in a company's processes, and to optimize them for greater efficiency, effectiveness, and profitability.

The process of business process mining typically involves several steps, including:

  • Data collection: Gathering relevant data from various sources, such as transaction logs, databases, and other records.
  • Data cleaning and preprocessing: Preparing the data for analysis, which may involve removing duplicates, correcting errors, and transforming the data into a suitable format for analysis.
  • Process discovery: Identifying the processes that are being performed within the organization, including the activities that are being carried out, the sequence of those activities, and the resources being used.
  • Process mapping: Creating a visual representation of the processes, including the flow of activities, the inputs and outputs, and the actors involved.
  • Performance analysis: Analyzing the data to identify inefficiencies, bottlenecks, and areas for improvement in the processes.
  • Process optimization: Developing and implementing strategies to optimize the processes, such as automation, reorganization, or redesign.

Overall, business process mining is a powerful tool for improving organizational efficiency, reducing costs, and increasing profitability, by providing insights into the workings of a company's processes and identifying opportunities for improvement.

The Benefits of Business Process Mining

Business process mining provides several benefits to organizations that seek to optimize their processes. Some of these benefits include:

  • Increased efficiency: Business process mining helps organizations to identify inefficiencies and bottlenecks in their processes, which can be eliminated or reduced to increase overall efficiency.
  • Cost savings: By streamlining processes, organizations can reduce costs associated with unnecessary or redundant activities, while improving overall productivity and profitability.
  • Improved customer satisfaction: Process mining can help organizations to identify areas where customer service can be improved, leading to higher customer satisfaction and loyalty.
  • Enhanced compliance: Business process mining can help organizations to identify areas where compliance issues may arise, enabling them to take corrective action before problems occur.
  • Data-driven decision-making: By providing insights into process performance, business process mining enables organizations to make data-driven decisions about process improvements, resource allocation, and other strategic initiatives.
  • Improved collaboration: By providing a shared view of organizational processes, business process mining can help to break down silos and promote collaboration among different teams and departments.

Overall, business process mining is a powerful tool for organizations seeking to optimize their processes, reduce costs, and improve overall performance. By providing insights into process performance and identifying opportunities for improvement, process mining can help organizations to become more efficient, effective, and competitive in their respective industries.

Introduction to KTern.AI

KTern.AI is an AI-powered platform for SAP S/4HANA implementation, which helps organizations to accelerate and optimize their digital transformation journey. The platform is designed to streamline the implementation process by providing end-to-end project management, process mining, data migration, and testing capabilities, all in one place.

KTern.AI offers a wide range of features to help organizations implement SAP S/4HANA more efficiently, including pre-built templates for project management and testing, automated data migration tools, and process mining capabilities that help identify areas for process improvement. The platform also provides real-time visibility into project progress, enabling project teams to quickly identify and resolve issues as they arise.

  • Digital Maps help organizations achieve risk-free SAP transformations driven by rapid assessments.
  • Digital Projects ensure robust governance in SAP transformation projects.
  • Digital Process helps drive SAP process orchestration with integrity and tribal knowledge base.
  • Digital Labs enable businesses to ensure their reliability with data-driven, governed SAP testing
  • Digital Mines help save costs and resources with streamlined SAP DevOps and BusinessOps by providing Cognitive Test Impact Analysis and change Impact Orchestration

Overall, KTern.AI is a powerful tool for organizations seeking to implement SAP S/4HANA more efficiently and effectively. By providing end-to-end project management, process mining, and testing capabilities in a single platform, KTern.AI can help organizations to accelerate their digital transformation journey, reduce costs, and improve overall business performance.

Digital Maps - Achieve your risk-free SAP transformations

KTern.AI Digital Maps is a powerful feature that enables businesses to visualize, analyze, and optimize their processes. It provides a comprehensive view of a company's processes, allowing business leaders to identify bottlenecks, inefficiencies, and areas for improvement.

The Digital Maps platform uses advanced algorithms and data analytics to create detailed process maps, giving businesses the insights they need to optimize their operations and stay ahead of the competition.

With Digital Maps, companies can gain a competitive advantage by maximizing their process intelligence and achieving operational excellence.

KTern.AI Digital Maps services include

  • Business Process Mining, which aims to help businesses understand their processes and gain insights for continuous improvement.
  • Landscape Assessment, with interface review, user profiling, archiving advice, and addon analysis, you can ensure a deeper grasp of your SAP landscape.
  • Custom Code Analysis, with a thorough analysis of custom objects and the impact of custom code on upgrading to S/4HANA, move forward with your custom code migration in confidence and clarity.
  • Transformation Insights: accept your RISE with SAP business transformation by utilising insights into process redefinition that are in line with the SAP Scope Items.
  • Timeline & Effort Estimation: get a high level timeframe for your transition to S/4HANA based on 20+ assessment KPIs and the estimated work from the perspectives of the SAP customer and the SAP system integrator.

Business Process Intelligence

Business Process Intelligence is crucial for organizations to identify inefficiencies and optimize their operations. However, it can be challenging to gain an accurate understanding of these processes, particularly when they involve multiple departments or systems. Business process mining provides a solution by analyzing the digital traces of these processes to identify patterns and areas for improvement.

KTern's Digital Maps take this a step further, offering a comprehensive visualization of an organization's processes to help users maximize their business process intelligence. In this article, we will explore the benefits of business process mining on KTern.AI's digital maps and how they can be used to drive operational efficiency and growth.

Business Process Mining by KTern.AI Digital Maps

Business Process Mining is a data-driven approach to analyze and improve business processes. It involves extracting knowledge from event logs and other data sources to discover process models, measure performance, and identify areas for improvement. KTern.AI Digital Maps is a platform that leverages Business Process Mining to provide insights into your organization's processes.

KTern.AI Digital Maps uses machine learning algorithms to analyze large volumes of data and generate visual representations of your organization's processes. These visualizations allow you to identify bottlenecks, inefficiencies, and other process-related issues that may be hindering your organization's performance. The platform also provides recommendations for process improvements based on industry best practices and benchmarks.

By using Business Process Mining on KTern.AI's Digital Maps, you can:

  • Gain visibility into your organization's processes: The platform provides a clear and comprehensive view of your organization's processes, enabling you to identify areas for improvement.
  • Measure performance: By analyzing event logs and other data sources, KTern.AI's Digital Maps can measure process performance, such as cycle time, lead time, and throughput.
  • Discover process models: The platform can automatically generate process models based on event logs and other data sources, providing a clear understanding of how your organization's processes work.
  • Identify bottlenecks and inefficiencies: The visual representations provided by KTern.AI's Digital Maps allow you to identify bottlenecks, inefficiencies, and other issues that may be hindering your organization's performance.
  • Improve processes: The platform provides recommendations for process improvements based on industry best practices and benchmarks, helping you to optimize your organization's processes.

How KTern.AI Digital Maps Improves Business Process Intelligence

Business Process Mining on KTern.AI's Digital Maps is a powerful tool for improving your organization's performance by providing insights into your processes and helping you to identify and address process-related issues.

Process Profiling

Process profiling is a key feature of KTern.AI's Digital Maps that helps businesses analyze their process scenarios based on materiality and nature of execution. By doing so, it simplifies the work of SAP Functional Consultants and Testing Stakeholders in understanding day-to-day operations with data-driven, rapid analysis of SAP systems, even ranging in DB size of 10 TB, 20 TB or so.

With process profiling, businesses can easily understand how their processes are executed, which steps take the most time and resources, and where bottlenecks may occur. This information is critical for making informed decisions about process improvements, resource allocation, and overall business strategy.

KTern.AI Digital Maps use process mining technology to generate process profiles, which provide a visual representation of a business process and its performance metrics. This enables businesses to quickly identify inefficiencies and opportunities for improvement.

Overall, process profiling on KTern.AI's Digital Maps provides businesses with a deeper understanding of their processes, enabling them to make data-driven decisions that improve efficiency, reduce costs, and drive growth.

Enterprise Structure Mining

Enterprise Structure Mining is another powerful feature of KTern.AI's Digital Maps that helps organizations in generating an in-depth understanding of their operational structure. By analyzing master, customizing, and transactional data captured in the SAP system, KTern.AI can provide operational insights that can be used by SAP CIOs, Architects, Functional Consultants, and Test Managers to better understand the organizational structure.

This can help organizations optimize their operational structure and streamline their business processes, leading to increased efficiency and productivity. With KTern.AI's Enterprise Structure Mining, businesses can get a comprehensive view of their enterprise structure, including business units, divisions, cost centers, profit centers, plants, sales organizations, and more.

Business User Insights

Business User Insights is another important feature of KTern.AI's Digital Maps that helps businesses to gain a better understanding of their users. This feature provides insights into how different users are using various modules of the SAP system. With this information, businesses can improve the user experience, identify areas for training and support, and streamline business processes to increase efficiency.

Business User Insights allows stakeholders, such as project managers and business analysts, to collaborate more effectively with business users. By understanding the needs and challenges of the users, stakeholders can make better decisions about the design and implementation of the SAP system. This feature also helps to identify areas where additional training or support may be necessary to optimize system usage.

Overall, Business User Insights is a valuable tool for businesses looking to maximize their SAP system's potential. By gaining a better understanding of users' needs, businesses can improve the overall efficiency and effectiveness of their operations.

Features of KTern.AI Digital Map’s Business Process Mining

KTern.AI's Digital Maps provide several features that help businesses improve their process intelligence:

  • Data visualization: Digital Maps provide a visual representation of the entire business process. This helps businesses understand the process better and identify areas for improvement.
  • Real-time monitoring: Digital Maps offer real-time monitoring of business processes. This means that businesses can identify issues as they happen and take corrective action immediately.
  • Performance analysis: Digital Maps allow businesses to analyze the performance of their business processes. This helps businesses identify bottlenecks and areas that need improvement.
  • Predictive analytics: Digital Maps offer predictive analytics capabilities. This means that businesses can identify potential issues before they happen and take preventative measures.
  • Collaboration: Digital Maps allow different teams and departments to collaborate on a single platform. This promotes cross-functional communication and helps businesses improve their processes.


Overall, KTern.AI Digital Maps provide a comprehensive solution for businesses looking to improve their process intelligence by providing real-time monitoring, data visualization, and predictive analytics.

By leveraging the power of process mining, businesses can stay competitive in today's rapidly changing marketplace. Digital Maps help businesses identify areas for improvement and optimize their processes for maximum efficiency.

Next Step

To get started with KTern.AI, Click here. Alternatively, if you would like a guided demo of the product from one of our product engineers, kindly get in touch with us by submitting a message at  Contact us .


Krithik Sharavan S

Enthusiastic about the concept of digital transformation and assisting businesses and B2B organizations in successfully carrying out their SAP digital transformation journey.