The most crucial and shared data assets inside the firm must serve as the foundation for the data maturing process. Design a master data management platform based on MDM implementation style and prioritized technical capabilities.ĭevelop a Master Data Management Practice and Platform Are you sure you have a master data problem? Analyst Perspective.Design a master data management practice based on the required business and data process.

Build a list of business-aligned data initiatives and capabilities that address master data problem and realize business strategic objectives.Identifying business outcomes based on quality master data is essential before you pull the trigger on an MDM solution. MDM is complex in practice and requires investments in data governance, data architecture, and data strategy. customer, product) but not master data problems (e.g. Creating cross-group consolidated reports from inconsistent local data that require too much manual effort and resources.Hindering good analytics and business predictions, such as incorrect supply chain decisions when having duplicate product and vendor data between plants.The lack of a clean customer list results in poor customer service.Some common master data problems include: Data kept in separate soiled sources can result in poor stakeholder decision making and inefficient business processes.When data is located in different systems and applications, coupled with degradation and proliferation, this can lead to inaccurate, inconsistent, and redundant data being shared across departments within an organization. The volume of enterprise data is growing rapidly and comes from a wide variety of internal and external data sources (e.g.

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