How Utilities Major in Kingdom of Saudi Arabia used Enterprise Structure Mining to Improve Their Business Processes with KTern.AI's Digital Maps

Digital Maps Jan 12, 2024

Table of Contents

Introduction

Enterprise Structure Mining is a powerful data mining technique that has gained significant importance in recent years, especially in the context of SAP S/4HANA assessments. This technique involves analyzing an organization's operational processes, departments, business units, products, and services to identify patterns and relationships among various components.

In this article, we will discuss the concept of Enterprise Structure Mining, its benefits, and how it can help organizations optimize their operations and achieve their business goals. We will also explore how KTern.AI's Enterprise Structure Mining feature can help organizations map their organizational structure and identify areas for improvement within their SAP system.

What is Business Process Mining?

Business process mining is a technique that draws knowledge and insights from an organization's business processes using data mining and process analysis tools. Large event log data sets must be analysed in order to find, track, and enhance practical business operations.

Event logs are used by business process mining techniques to keep track of how business processes have been carried out over time. These event logs detail the actions executed, the order in which they were taken, the duration of each action, and the resources used in each action. Business process mining can find patterns and deviations, bottlenecks and inefficiencies in the process by looking at these event records.

Organizations can use business process mining to better understand how their business processes are carried out, pinpoint opportunities for improvement, and keep an eye on their processes to make sure they are operating effectively. This may result in more effectiveness, lower costs, higher quality, and happier customers.

Overall, business process mining is a powerful technique for understanding and improving business processes, allowing organizations to make data-driven decisions and optimize their operations.

The Benefits of Business Process Mining

There are many benefits of business process mining for organizations. Here are some of the main benefits:

  • Improved operational efficiency: Organizations can increase their understanding of their business processes by using business process mining to spot bottlenecks, inefficiencies, and areas for improvement. Organizations can lower costs, boost productivity, and enhance overall operational effectiveness by optimising these procedures.
  • Enhanced process visibility: Stakeholders can better understand how the processes are carried out thanks to business process mining, which gives the organization's processes a visual depiction. This improves process visibility, which may result in improved judgement and process upgrades.
  • Real-time monitoring: Businesses can monitor their operations in real-time thanks to business process mining. This makes it possible for them to recognise and handle problems as they happen fast, minimising the effect on business operations.
  • Improved compliance: Organizations can use business process mining to make sure their procedures adhere to legal and regulatory standards. Organizations can take proactive steps to address potential compliance issues and avert hefty fines by doing so.
  • Better customer satisfaction: By locating and removing bottlenecks in the customer journey, business process mining can assist firms in increasing customer satisfaction. This may result in quicker reaction times, better service, and more devoted clients.
  • Data-driven decision-making: Business process mining provides organizations with data-driven insights that can inform their decision-making. This can help organizations to make more informed decisions, reduce risks, and improve overall performance.

Overall, business process mining is a powerful technique that can help organizations to optimize their operations, reduce costs, and improve customer satisfaction. By leveraging the insights provided by business process mining, organizations can make data-driven decisions that drive business success.

KTern.AI Digital Maps

Digital Maps offers a quick and thorough study of a company's processes, custom objects, and geography to maintain SAP compliance and boost efficiency through automation,. The platform comes with a number of capabilities, including business process mining, landscape evaluation, custom code analysis, transformation insights, and timetable and effort estimation.

KTern.AI Digital Maps is a platform that provides automation and governance for SAP Digital Transformation Projects. The features of the platform include:

  • Intelligent automation: The platform leverages data-driven, no-code, and non-invasive techniques.
  • Business Process Mining: The platform provides visibility of business process with comprehensive profiling of business process, mining of enterprise structure, and evaluates the impact on moving to S/4HANA.
  • Landscape Assessment: The platform offers a better understanding of the SAP landscape, with interface review, user profiling, archiving recommendations, and addon analysis.
  • Custom Code Analysis: The platform provides the assurance and clarity for custom code migration with a deep-drive assessment of custom objects and the custom code impact on moving to S/4HANA.
  • Transformation Insights: The platform provides process redefinition insights in line with the SAP Scope Items.
  • Timeline & Effort Estimation: The platform generates a high-level timeline of your S/4HANA transition based on 20+ assessment KPIs and effort estimate from SAP customer and SAP system integrator perspective.

How KTern.AI Digital Maps helps in Enterprise Structure Mining

KTern.AI's Digital Maps can greatly improve Enterprise Structure Mining by providing a visual representation of the existing business processes and infrastructure.

Here are some ways that Digital Maps can help:

  • Provides a clear view of the existing system: The Digital Maps tool can provide a clear view of the current system infrastructure and processes in a visual format, making it easier to identify gaps and redundancies in the system.
  • Identifies dependencies and impacts: The tool can identify dependencies and impacts between different business processes, systems, and custom objects, allowing organizations to better understand the consequences of changes made to the system.
  • Helps in planning and execution: With the Digital Maps tool, organizations can plan and execute system upgrades or migrations more effectively, as it provides a comprehensive view of the current system infrastructure and associated risks.
  • Automates the assessment process: The tool automates the assessment process, saving time and reducing the likelihood of errors that can occur during manual assessments.
  • Enables collaboration: The Digital Maps tool allows different teams to collaborate and work together to identify and resolve issues in the system, improving efficiency and reducing the time taken to complete projects.

Case Study : Utilities Major in Kingdom of Saudi Arabia​

A leading utilities major in the Kingdom of Saudi Arabia wanted to digitize their business for the new age and move from SAP ECC to SAP S/4HANA Cloud. They wanted to get rid of capital expenditures and run their business on operational expenses.

They needed insights on the impact of custom code on their business and IT, and a fool-proof plan for their transition from on-premise ERP to cloud ERP.To reduce the cost, time, and effort required for their assessment, they chose KTern to complete a comprehensive assessment and build a risk-free roadmap for their transition to a cloud ERP.

KTern was connected to the SAP ECC sandbox system within 5 minutes with no configurations required, and an automated assessment report was generated to illustrate the technical, functional, and business process impact of moving from ECC on-premise to S/4HANA Cloud.

The complete assessment was completed in 3 days instead of 30 man-days, and the utilities major benefited from cost and effort savings due to reduced resource deployment, huge time savings due to the elimination of configurations and manual work, and improved collaboration and efficiency among all project stakeholders.

Overall, KTern provided a single product to control the project from start to finish, empowered project automation and governance with "S/4HANAPEDIA", and helped the utilities major achieve their vision of digitizing their business for the new age.

How Enterprise Structure Mining is used to Improve Business Processes

KTern's Enterprise Structure Mining is a digital maps feature that enables users to gain a comprehensive understanding of their SAP system's enterprise structure. It helps in identifying the hierarchy of functional modules, their relationships, and dependencies. By analyzing the enterprise structure, users can understand how the different modules interact with each other and optimize business processes.

Using Enterprise Structure Mining, KTern's platform creates a visual representation of the SAP system's structure, including organizational units, company codes, plants, storage locations, and more. This allows users to drill down into each functional module's hierarchy and better understand the relationships between them. This understanding can help users identify potential inefficiencies and opportunities for optimization.

Enterprise Structure Mining can also help organizations standardize their processes by identifying inconsistencies across different functional modules. By standardizing processes, organizations can reduce errors, eliminate redundancies, and improve overall efficiency.

In summary, KTern's Enterprise Structure Mining feature can help organizations improve their business processes by:

Providing a comprehensive understanding of the SAP system's enterprise structure. Identifying inefficiencies and optimization opportunities by analyzing the relationships between different functional modules. Standardizing processes to reduce errors, eliminate redundancies, and improve overall efficiency.

​Leveraging Enterprise Structure Mining to Improve Processes

Enterprise Structure Mining is a powerful tool for organizations looking to optimize their business processes. By analyzing the structure of your SAP system, it allows you to identify opportunities for improvement, eliminate redundancies, and streamline operations.

Here are a few ways you can leverage Enterprise Structure Mining to improve your processes:

  • Identify inefficiencies: By analyzing the structure of your SAP system, Enterprise Structure Mining can help you identify inefficiencies in your business processes. This could include duplicated data or unnecessary steps in a process that can be eliminated, saving time and reducing the risk of errors.
  • Streamline operations: Once you have identified areas for improvement, you can use Enterprise Structure Mining to streamline your operations. This could involve optimizing your workflow or automating certain tasks to reduce the time and effort required.
  • Improve data quality: By analyzing the structure of your SAP system, Enterprise Structure Mining can also help you improve the quality of your data. This can be achieved by identifying data inconsistencies or gaps in your system and taking steps to address them.
  • Enhance reporting: With Enterprise Structure Mining, you can improve the accuracy and reliability of your reporting. By identifying redundancies and inefficiencies in your processes, you can ensure that your reports are based on accurate data and reflect the true state of your business.

Overall, leveraging Enterprise Structure Mining can help organizations to achieve significant improvements in their business processes, leading to increased efficiency, reduced costs, and improved customer satisfaction.

Improvements Made by Ktern.AI for Utilities Major in Kingdom of Saudi Arabia​

The utilities major wanted to move from ECC to S/4HANA in order to digitize their business for the new age. In addition, they wanted to get rid of capital expenditures and run their business on operational expenses.

KTern.AI, an SAP solution provider, was able to seamlessly connect to a SAP ECC sandbox system and generate an automated assessment report for an organization's transition to SAP S/4HANA Cloud. This process was completed in a fraction of the time it would typically take, resulting in a stress-free implementation roadmap.

Connecting to SAP ECC systems can be a complex process, involving multiple configurations and technical requirements. However, KTern's ability to connect to the sandbox system within just five minutes without requiring any configurations speaks to the company's advanced technology and streamlined processes. This is a significant advantage for organizations looking to quickly and easily assess their readiness for S/4HANA Cloud implementation.

KTern.AI automated assessment report is another key feature that simplifies the transition to S/4HANA Cloud. The report provides a comprehensive analysis of the technical, functional, and business process impact of moving from ECC on-premise to S/4HANA Cloud. This analysis can help organizations make informed decisions about their transition and identify any potential risks or challenges that may arise during implementation.

Perhaps most impressive is the fact that this entire process, including the assessment report and implementation roadmap, was completed in just three days instead of the 30 man-days it would typically require. This significantly reduces the amount of time and resources required for organizations to transition to S/4HANA Cloud, enabling them to achieve their business goals more quickly and efficiently.

Overall, the power and efficiency of KTern's technology and services simplified the complex process of transitioning to S/4HANA Cloud, organizations can leverage the benefits of SAP's latest technology without the stress and hassle of a lengthy implementation process. This ultimately enables organizations to improve their operations, optimize their performance, and achieve their business goals.

Conclusion

By analyzing data from various departments and business units, organizations can identify patterns and relationships among various components, enabling them to make data-driven decisions and streamline their processes.

KTern.AI's Enterprise Structure Mining feature is a prime example of how this technology can be leveraged to help organizations map their organizational structure and identify areas for improvement within their SAP system.

Overall KTern.AI's Enterprise Structure Mining feature represent a significant opportunity for organizations to gain a deeper understanding of their operations, optimize their performance, and achieve their business goals. By leveraging this technology, organizations can stay ahead of their competitors and adapt to a rapidly changing business environment, ultimately driving growth and success.

Next Step

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Krithik Sharavan S

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