Traditionally master data have consisted of two different types of data: product data and customer data. These two data types differ from each other which has led to a situation where these data types have been handled in two separate systems. In the future there still can be different systems for different types of master data, but it is important that these two data types can be combined and there is a real interaction between them. When the basics of the master data management is organized, typically organizations start to expand the solution and this sets new requirements for MDM solutions.
Increased integration requirements
Consolidation has been a hot topic for several years. Nevertheless, it seems the number of different information management systems increase and these systems need to be integrated smoothly. Traditionally MDM solutions have integrated with point-to-point style to source system. Nowadays the requirement for the integration is more service based real interaction between the systems.
Graph-databases won’t replace all traditional relational databases, but instead they will improve the understanding of the complex relationships of data sources. Graph-databases enable also efficient usage of real-time master data.
Garter’s research director said a year ago that when the amount of data increases, the more important the management of master data is. Big Data technologies have brought new opportunities for handling large amount of data. When the amount of data increases, master data management needs to be well organized to make the data more accessible and related to relevant context.
Like the other information management solutions, also MDM solutions are becoming cloud based. This means that the purchase of the solution becomes easier. Before MDM solutions have been heavy to maintain which now becomes lighter due to cloud. The new, cloud based solutions are more flexible, easier to scale and become available for also smaller organizations.
Janne Viinamäki, Consulting Manager at Enfo