Master Data Management and Data warehousing.
Master Data Management and Data Warehousing have a lot in common. For example, the effort of data transformation and cleansing is very similar to an ETL process in data warehousing, and in fact they can use the same ETL tools. In the real world, it is not uncommon to see MDM and data warehousing fall into the same project. On the other hand, it is important to call out the main differences between the two. AxionConnect processes the right knowledge and expertise in the area of Data Management and Reporting using advances toolsets like SAS and other open source.
Data Storage Type has multiple Goals
The main purpose of a data warehouse is to analyze data in a multidimensional fashion, while the main purpose of MDM is to create and maintain a single source of truth for a particular dimension within the organization. In addition, MDM requires solving the root cause of the inconsistent metadata, because master data needs to be propagated back to the source system in some way. In data warehousing, solving the root cause is not always needed, as it may be enough just to have a consistent view on the data warehousing level rather than having to ensure consistency at the data source level.
Master Data Management is only applied to entities and not transactional data, while a data warehouse includes data that are both transactional and non-transactional in nature. The easiest way to think about this is that MDM only affects data that exists in dimensional tables and not in fact tables, while in a data warehousing environment includes both dimensional tables and fact tables.
In data warehousing, it is important to deliver to end users the proper types of reports using the proper type of reporting tool to facilitate analysis. In MDM, the reporting needs are very different -- it is far more important to be able to provide reports on data governance, data quality, and compliance, rather than reports based on analytical needs.
In a data warehouse, usually the only usage of this "single source of truth" is for applications that access the data warehouse directly, or applications that access systems that source their data straight from the data warehouse. Most of the time, the original data sources are not affected. In master data management, on the other hand, we often need to have a strategy to get a copy of the master data back to the source system. This poses challenges that do not exist in a data warehousing.
In today’s fast paces environment executives would like to not only access business reports on the fly but would also like to perform analysis and draw correlations in real-time. ACIL today processes the capability to develop reports and marts that can be rendered on popular devices with good performance.
SAS Base, SAS EG, SAS EM, SAS VA, SAS BI/ EBI, SAS DI Studio, SAS ETL, SAS Dataflux.