Enterprise data assets represent a significant investment and organizational resource. Account Receivable and Customer account records for example are clearly critical to current organizational cash flow and as well as future revenues. Maintaining the quality and accuracy of these records requires a combination of appropriate technology as well as a program of data governance. The management processes and procedures to ensure the accuracy and integrity of these key entities is often termed Master Data Management (MDM) Using MDM a plan is developed levering technology and business process to maintain the integrity of the identified master data entities. MDM typically includes: data standards; data cleansing; data reduplication; data backup and data storage.
Master Data entities, as well as other enterprise data resources must be accessed in a secure, reliable and timely manner in both transactional and analytical environments. Such access must be: secure; reliable and timely. Developing an optimized, comprehensive approach for providing data access requires a well conceived Data Architecture. Best practices in Data Architecture have been influenced by the recent Service Oriented Architecture (SOA) paradigm. As opposed to the Persia approach of direct asses to master data or operational data stores, SOA Data Services provide the end user view of data. SOA Data Services encapsulate the complex data access code required to develop the end user view. By showing the end user view of data and encapsulating the data access code, data users can focus on the actual data as opposed to the mechanisms required for retrieval.
Semantisys specializes in Ontology Engineering which is the emerging best practice in data modeling. Ontologies go beyond the data base entity focus of data models to capture the variations in meaning, usage and relationships of each enterprise data entity. Ontology Engineering provides the data entity syntax standardization of data modeling while also providing an enterprise wide understanding and agreement on the meaning of each enterprise entity.
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Enterprise data assets represent a significant investment and organizational resource. Account Receivable and Customer account records for example are clearly critical to current organizational cash flow and as well as future revenues. Maintaining the quality and accuracy of these records requires a combination of appropriate technology as well as a program of data governance. The management processes and procedures to ensure the accuracy and integrity of these key entities is often termed Master Data Management (MDM) Using MDM a plan is developed levering technology and business process to maintain the integrity of the identified master data entities. MDM typically includes: data standards; data cleansing; data reduplication; data backup and data storage. 
