What is Master Data Governance?
Master data governance includes all strategic, organizational, methodical and technological activities concerning corporate master data.
With Master Data Governance (MDG), a company creates comprehensive process and organizational structures for data management as well as clear responsibilities. For example, in a manufacturing company, the creation of material masters, as well as individual release and approval processes, are defined.
The goal is clean data and efficient workflows – a must, especially when it comes to digitization.
Master data governance ensures efficient collaboration.
The digitalization of processes requires data quality to be up to par, starting with up-to-date, accurate and complete data. Only data that conforms to system-specific guidelines can be processed automatically.
Data has to be consistent and free of redundancies. Duplicates inflate data volume unnecessarily and increase the risk of errors as well as processing costs. Complying with guidelines for master data quality is hard enough, even without the additional effort of eliminating duplicates.
Master data governance also means integrating a suitable IT solution, new processes and organizational structures with clear guidelines and rules. Companies can – and should – model the creation of master datasets and define individual approval and authorization processes. Only then will they be able to keep their master data quality on a high level in the long term.
MDG creates a productive work environment with well designed processes and structures.
Master data governance accelerates automation
With the same measures and methods, companies can also support and automate other business processes. Precise texts can be automatically transformed into data and processed as orders, online shop information or descriptions of spare parts.
Industry 4.0 creates a range of new requirements, such as creating serial numbers for industrial parts and products, ensuring complete traceability of parts, and providing information on quality including documentation. Defined processes with integrated evaluation options provide fast and seamless workflows in line with industry standards.
The concept of master data governance seems to be capable of eliminating the lack of quality in master data effortlessly. Through consistent monitoring and automated corrections, master data governance ensures a high level of security in a variety of digital processes.
How do Master Data Governance solutions by simus systems work?
Phase 1: Cleaning and restructuring master data
To implement a master data governance project, it is recommended to clean and restructure master data with specialized tools as, in this case, they are more efficient than an ERP system. In order to use the cleaned data in an efficient way, the recommendation is to employ a suitable “search engine”. This is how companies benefit the most from the structured data pools.
Optimise Material Masters - Clear Workflows Save Time and Money
Phase 2: Workflows to organise creation of new material data
The professional creation of a material master has an extensive impact on all business departments. Companies securing their data regularly achieve noticeable cost and time savings. Through an elaborate process, duplicates and errors in the material master can be prevented.
Phase 3: Maintaining the material master data quality for long term success
Creating alongside maintaing the quality of material master data should be organized in an orderly and sustainable way. simus classmate provides you with a mature software solution to manage all required changes during the product life cycle.
More than 250 companies trust in simus systems on their way to data excellence
“For around 80 percent of our components, simus classmate calculates the manufacturing costs in advance with a hit rate of 95 percent. The designers build up their own knowledge and achieve their cost targets better without our support.”
“The fact that all material master data can be found quickly simplifies and speeds up the various maintenance and repair tasks.”
“We are very taken with the solution’s versatility and see classmate PLAN as a centerpiece for our efforts to make the manufacturing process leaner, more flexible and more cost effective.”
simus classmate stands for data transparency and excellent data structure in the manufacturing industry.
We prepare your data in a flexible, efficient and systematic way for the best possible use in sophisticated digital processes. Surprise yourself with the potential of your data! We are happy to advise you on designing innovative and sustainable data processes.
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