Companies using European personal data, both inside and outside of Europe, are adjusting practices, privacy controls, and parameters in their environments to comply with EU regulation, and acknowledging that managing and protecting that data are legal responsibilities, and a data governance processes must be put into place to avoid misuse and to meet regulations.

Expanding the breadth of control over data quality to the entire data flow within your organization is key in achieving this ambition, master data management is most needed where there will be large transmissions of that data within your organization and with companies that have multiple entities or operations spread around the world.

The data architect is responsible for creating and overseeing a program that supports strong data management principles, which will include the definition, acquisition, storage, maintenance, protection, architecture, accessibility, security, integrity, archival, recoverability, and reporting of all data relevant to the operation of the business, there is an arms race in the data management industry to support analytics, in which one critical step is feature selection, the process of selecting a feature set that will be used to build a statistical model.

Metadata, usually defined as data about data, is used to describe an object (digital or otherwise), its relationships with other objects, and how the object has been and should be treated over time, subsequently reporting management is triggered every time a request for reporting is received from one of the various processes, from a requester or from an auditor.

This can be achieved by leveraging existing architectural documents and ensuring the appropriate level of detail is documented, including system-to-system interfaces, data storage, forms processing and reporting, distributed architecture, access control (authentication and authorization), and security and user provisioning, the ability of an electronic document management system (EDMS) to control the versions of the regulatory dossier sections is a significant benefit and additionally many vendor organizations are moving to cloud infrastructure shared services that allow for more efficient costing and allocation of resources.

These actions will help to ensure that, once implemented, the new system will achieve the level of process improvement and automation, data quality, reporting and user enablement required to meet the needs and expectations of the business process owners, it establishes responsibility for data, organizing program area staff to collaboratively and continuously improve data quality through the systematic creation and enforcement of policies, roles, responsibilities, and procedures, as a result authorization roles control access to business objects and therefore have to be assigned to business role.

As a result, the business can achieve the clarity, consistency, and well-defined execution of core processes that reduce inefficiencies and waste that result from unnecessary process complexity and exceptions, while you may be most familiar with aspects related to confidentiality and allowable uses, other provisions likely relate to record retention, allowable charges for access to data, management of back-ups and other provisions, in particular, security considerations for hardware, network, database access, web access, tool usage and for sensitive corporate data have to be documented.

Data management is an administrative process that includes acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data for its users, as a result each organization will need to address its own unique situations and organizational challenges, but all will find that the steps presented here are a solid foundation for effective data governance.

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