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Master Data Management and Service-Oriented Architecture: Better Together
Many companies are struggling to keep up with constant shifts in technology while at the same time addressing rapid changes in the business. As organizations strive to create greater efficiency and agility with the aid of new technologies, each new business-led project may further fragment IT systems and result in information inconsistencies across the organization. Because data is essential for all processes and business objects, these irregularities can undermine the original business objectives of the technology initiatives. Combining the use of master data management (MDM) on the business side and service-oriented architecture (SOA) on the IT side can help prevent information inconsistency.
SOA is a practice that uses technology to decouple services, transactions, events, and processes to enhance data availability for business applications across a range of use cases. But the underlying data is often overlooked or treated as an afterthought when it comes to business processes, leading to poor data quality. Without MDM, the data made available to business applications by an SOA approach might be less than accurate and more widespread throughout an organization. That can lead to a situation where lower quality data is consumed by more business users—ultimately thwarting the objectives of efficiency and agility.
MDM also helps address the tricky issue of upstream and downstream systems integration by ensuring that the systems access a data hub containing accurate, consistent master data. It also assists SOA by providing consistent visibility and a technical foundation for master data use. MDM delivers the necessary data services to ensure the quality and timeliness of the enterprise objects the SOA will consume.
To learn more about the importance of MDM to SOA investments, read an in-depth technical article, "MDM and SOA Be Warned!" And don't miss the new Oracle MDM resource center. Visit today to download white papers, read customer stories, view videos, and learn more about the full range of features for ensuring data quality and mastering data in the key domains of customer, product, supplier, site, and financial data.