Growing Need for Financial Master Data Management Automation  

Growing Need for Financial Master Data Management Automation  

Published: 31/May/2022

Reading time: 4 mins

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Key Takeaways

⇨ Finance and accounting (F&A) teams must efficiently access accurate and reliable information in today's fast-paced environment.

⇨ Finance master data is often managed manually via transaction code in too many organizations, with minimal standardization and governance.

⇨ SAP MDG for Financials provides automation capabilities for SAP organizations to help manage finance master data more effectively.

Finance and accounting (F&A) teams must efficiently access accurate and reliable information in today’s fast-paced environment. This way, F&A teams can generate the organizational visibility to make timely decisions on various fronts, from revenue growth or cost-cutting initiatives to strategic planning for new business models or corporate transactions. Finance master data is the foundation for all of it and needs to be well-managed and maintained for an organization to function correctly.

Several types of finance master data help establish the enterprise’s accounting framework. This includes charts of accounts, cost and profit center hierarchies, and more. Of course, all this data needs to be kept up-to-date and accurate for reporting to be effective. However, finance master data is often managed manually via transaction codes in too many organizations, with minimal standardization and governance. It tends to compromise the quality and integrity of the data thus seriously impacting compliance, reporting, and decision-making across the organization.

Demand from Finance to Enhance Master Data Management with Automation  

Finance and accounting (F&A) teams are responsible for leveraging core finance processes into organizational visibility and actionable insight. This requires a unified view of high-quality Business Partner information and product data information that aligns with regulatory compliance demands, to help navigate business challenges and execute growth opportunities.

Finance master data must comply with internal governance and external regulations. Automating your finance master data management process can help you ensure that your data complies with all relevant business requirements. We see that nearly 7 out of 10 survey respondents (68%) from the SAP S/4HANA Finance and Central Finance benchmark research report view clean and harmonized master data as an important or very important requirement for finance and accounting innovation. For 46% of these respondents, increasing automation in finance processes is the top strategy for finance and accounting innovation.

Benefits of Automating Finance Master Data Management  

There are many benefits to automating your finance master data management process; here are the top four reasons SAPinsider organizations should prioritize:  

  1. Improved accuracy and consistency – Automating your finance master data management process reduces the risk of human error in handling financial records; this also improves accuracy and consistency for all aspects associated with maintaining accurate records.  
  2. Better compliance with internal and external regulations – Finance master data must comply with several internal and external regulations. Automating the finance master data management process can help you ensure that your data complies with all relevant regulations.  
  3. Increased efficiency and productivity – Manually managing finance master data is time-consuming and resource-intensive. Automating your finance master data management process can help you free up time and resources to focus on more strategic tasks.
  4. Improved decision-making – Inaccurate or outdated finance master data can lead to poor decision-making. Automating your finance master data management process, with solutions such as SAP Master Data Governance for Financials (SAP MDG-F), can help you ensure that your data is accurate and up-to-date to make better decisions about your business.

Leveraging SAP Master Data Governance for Financials  

SAP MDG for Financials provides automation capabilities for SAP organizations to help manage finance master data more effectively. By centralizing governance of the financial master data, organizations can automate maintaining and distributing financial master data, integrating data more tightly, and increasing data consistency. Furthermore, SAP MDG for Financials provides a centralized repository for all master data that helps enable workflow, versioning, and auditing. By automating the process of financial master data management, organizations can improve efficiency, reduce costs, and increase data quality.

For SAPinsider organizations, master data management automation can translate to better decisions for your business. If you are not already automating your finance master data management, now is the time to start.

What Does This Mean for SAPinsiders?  

Automating your finance master data can help you avoid the pitfalls of manual management and keep your finance system running smoothly. However, for F&A teams to effectively leverage master data management automation solutions, it is essential to keep the following things in mind:  

Define data domain ownership so each finance master data domain must have an ‘owner’ from business. This owner is responsible for ensuring data quality and reducing the risk of SAP Master Data being inaccurate or outdated. Establishing domain ownership is a key step in ensuring that SAP is used effectively within an organization. This will help to ensure that SAP Master Data is of high quality and can be used effectively by business.

Implement a socialized data management strategy. It starts with clear procedures for communication between all parties. This ensures that changes are made in a timely and consistent manner. It is important that finance master data is effectively used and accessed by the people who need it. By taking the time to establish clear and concise procedures, you can ensure that finance master data management is a smooth and streamlined process.

Put processes in place to help avoid poor data quality. As they say, “garbage in, garbage out.” That is why it is crucial to have quality checks in place to verify the data being input into the system. This will help prevent errors from creeping in and affect decision-making. For F&A teams, maintaining accurate information is crucial for making sound decisions.

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