A steward can be anyone who has a role in dening, producing or using data for their job and is accountable for its quality. Maturity Levels of Data Governance 1. arising such as a data leak. 2. or approach tries to blunt issues. 3. alignment of governance and management process formalising a culture of issue and risk awareness. Reactive Governance Model: Tactical eort to respond to a problem Preemptive Governance Model: An organisation facing major change Proactive Governance: Driven by an information management strategy, Scenario 1: De-Centralized Execution Single Business Unit This data governance model is characterised by individual business users maintaining their own master data. This model ensures that data is created by the local users who are typically the consumers of this data. Best for small organizations (single company) Oers simpler data maintenance No shared master data with other business units.

Scenario 2: De-Centralized Execution Multiple Business Units This data governance model is characterized by individual business users maintaining their own master data. In this scenario, we have multiple business units working with shared customers, materials and vendors. Best for small and medium organizations(multiple companies involved) Oers simpler data maintenance. Allows for shared master data with other business units. Scenario 3: Centralized Execution Single or Multiple Business Units In this model, one central organization sets up master data based on requests coming from the consumers of the master data. Best for large and medium organizations(multiple companies) Complex data requirements Allows for shared master data with other business units. Potentially higher risks from data protection breaches.

Scenario 4: Centralized Data Governance & Decentralized Execution This data governance model is characterised by a centralized governance body dening the framework of controls and individual businesses creating their individual parts of master data. companies. master data. Best for large and medium organizations with multiple plants and Brings complex data requirements but requires agility in the creation of Allows for shared master data with other business units.