Do your Data Governance and Data Architecture groups work together? How do you see them supporting one another? I'd love to hear how this works in your organization!
Posted March 26, 2014 5:00 PM
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Thanks for joining our data conversation! This blog is an opportunity to share the real life challenges, opportunities and approaches to improving the quality and value of data in your organization. We will write about everything data related from translating "data" speak into "business" speak, to governance models, to the real differences among the myriad software tools available. But there's one catch: we all have to agree to toss out the fluff. That's right, no 30,000 foot, theoretical strategies that leave you wondering how to execute and actually improve performance. Visit regularly to learn from peers and partners on how they are managing and improving data, and we hope you'll also share your views and experiences.
As Founder and Managing Partner of First San Francisco Partners, Kelle O’Neal manages specialist data governance and data management consulting services to complex organizations that deliver faster time to results. Kelle can be reached at firstname.lastname@example.org or through the First San Francisco Partners website.
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Required data quality targets for each entity type and each data element that is to be measured should be defined. The DGO needs to monitor data issues and track progress over time to show the value of the MDM hub.
User Interface and Security
The extent of the MDM user community and all associated security rights need to be defined and understood. Data stewards need access to the MDM hub, however not all have access rights to all the data in the hub. Some data stewards can only see and work on certain types of data within a certain subject area.
The DGO also needs to define the requirements for job and system monitoring, maintenance, backup and recovery and system support.
Many decisions need to be made in the course of an MDM implementation, and those related to data management, in particular, should be made by the DGO. An MDM implementation has a much higher likelihood for success with an effective decision-making structure and process in place. That is the purpose and value of a well-defined data governance process and DGO.
Ownership and Accountability
Policies, Processes and Standards
Data Integration (Inbound and Outbound)