Linking Business Process Management and Master Data Management
Data Quality Quantification
Why You Should Attend
Data is one of the key company assets today for most multinationals, while master data, in essence, defines an enterprise. The volumes of data held by multinational companies is increasing exponentially, the variety of applications used also tends to increase making the data model and technology landscape more important for business and often more complex.
At the same time the speed of doing business, things like smart phones, social networks, innovative marketing strategies require quality and frequently real time data of all kinds. It is simply obvious that well governed and smartly managed master data strategy and process is a necessary fundament of building market adapted, agile and competitive enterprise of the future.
Successful enterprises have started their MDM journey already at least a decade ago. Companies with mature MDM functions are currently focusing on embedding MDM as integral part of all core company processes/functions are already realising the fruits of well managed MDM strategy.
This marcus evans event will focus core topic of actually governing data integrity across multiple company units globally and of actually making sure the pull for MDM is coming from the business itself, rather than pushing MDM to the business. The focus areas of best practice exchange between the MDM professionals would be business ownership and governance as well as MDM business process integration and data quality.
Moreover, we will use the conference platform to look at practical implementation details and opportunities presented in perfecting master data in Product, Customer, Vendor and Material domains, as well as automation and useful technology possibilities. Lastly, we will discuss Big Data potential and application in addition to an outlook of future MDM trends.
Implement governance in real life
Analyse and benchmark successful models for MDM organisational setup and structure
Embed MDM as a strategy within the business and ensure the pull coming from the business itself
Ensure MDM completeness, accuracy and content relevance for better data quality
See examples of automation possibilities for a touchless end-to-end MDM
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