SAP MDG: Addressing the Current ERP and Pain Points
One consideration that SAP data governance management makes is management of pain points within the company when it comes to the ERP implementation. ERP is the designation given to a class of business software intended to facilitate the processes of a company end to end.
Enterprise Resource Planning can help address a business’s pain points, or an issue that is causing problems within a company that requires a solution. These issues are often systematic and affect the bottom line and therefore, require a successful, immediate solution to limit inhibitions to the growth of a company.
Pain points related to lack of Master Data Controls occur in all areas of a company, including but not limited to, order to cash, procure to pay, finance to report, manufacturing, e-Commerce, and architecture and systems integration.
Pain points can then be organized into categories including positioning pain points, productivity, financial, people, process, and productivity.
By implementing the SAP MDG, your business can evaluate the current ERP practices and pain points causing issues both internally and with customers. SAP’s ERP program offers an integrated system that works in combination with other systems to create a reliable and centralized management system for all business needs.
Current Data Market Landscape
Data governance remains a crucial part of industry. It provides a framework for making data available, applicable, whole, and secure. Therefore, data governance remains an industry trend for constant improvement. However, the process of data governance and management has been increasingly viewed as a bridge between IT and business associates, and this shows the inter-departmental importance of data. Not only is the IT department working with and optimizing data, but anyone who is responsible for creating data or managing data must understand the rules, regulations, and importance of clean, useable data.
By taking advantage of new technology, data analysis has become increasingly insightful. Implementing a data management system that provides one space to manage various kinds of data throughout the data cycle can streamline and simplify the process needed to maintain and monitor data.
Data acquisition is an important process for companies looking to utilize and leverage data about real-world experiences. This process provides further data for analysis and is a part of master data that can be created, stored, and used to gather more information about a given real world experience. Using quality data for acquisition, for example, can help a company identify potential internal problems and to gain a full picture and understanding of all the operations within any business.
While data governance rules and regulations are constantly being updated, the key factor to keep in mind for any data is security and accuracy. Making sure that the company complies to all data regulations is important for avoiding issues both within data management programs and with outside parties. Maintaining the integrity of data is the main consideration for any company and creating reliable data means building trust with data stewards and other parties.
To learn more about service offerings from Crescense, contact us today.
Written by Cara Ridenhour, Arturo Blasi, and Ashley Stufano