Data Governance
Data Governance includes the people, processes and technology required to create a consistent, enterprise view of the organization’s data.
Effective Governance is a critical part to realize the full potential of the Business Systems and Business Processes. Master Data Management (MDM) is about discipline. So, often consultants will advise to implement a separate MDM-system. At mi4v we understand this approach, but we will help you try to avoid this. Because we believe the systems you use to run your business, also should be the systems where you govern your master data.
Implementing Data Governance implies creating :
- Clear ownership and accountabilities to meet business objectives.
- Clearly defined structures, roles and responsibilities for all relevant positions and levels.
- Clear decision-making guidelines and protocols and an escalation process for decision resolution procedures.
- Clear process descriptions for creating, changing or deleting data values, data structures or fields.
- Documentation on all data elements’ origin, values and use and function.
- Central tools for storing documents and running team processes.
- Data storage and usage templates.
- KPI’s for monitoring changes and data quality.
Note, Data Governance is not:
- A separate, distinct function within the organization. Data Governance results in the possibility to create and maintain master data in an organized and correct way.
- MDM is not synonymous with data cleansing and scrubbing.
IMPLEMENTING DATA GOVERNANCE
Increasing consistency and confidence in data for fact-based decision making.
Ensuring data security and privacy, compliance with industry standards, quality data for the users to perform their duties.
Monitoring, maintaining and where needed improve data quality across your organization.
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