Map infrastructure architecture and tools. From a bottom up approach you can synthesize these efforts into a more cohesive enterprise level data governance framework.
Your data governance framework must be a sensible part of your enterprise architecture the it landscape and the tools needed.
Master data governance model. Effective data governance serves an important function within the enterprise setting the parameters for data management and usage creating processes for resolving data issues and enabling business users to make decisions based on high quality data and well managed information assets. All of this traces back to lack of data governance and poor quality data in the end. Master data management includes processes from the creation of master data thru to its disposal.
Complicating factors often come into play such as. This model ensures that the data is created by the local users who are typically the consumers of this master data. Focus on the operating model.
Master data management technology can address a lot of these issues but only when driven by an mdm strategy that includes a vision that supports the overall business and incorporates a metrics based business case. The dgl is usually someone who is a step below a vice president and fills the role as a full time job commitment. This allows customers to purchase only what they need to address immediate needs and to expand the solution as their business needs grow.
Roles include the data governance lead dgl it representatives and coordinator. A data governance framework must integrate into the way of doing business in your enterprise. Manager master data governance.
The data governance office also called the master data council enforces data governance. Therefore data governance does not sit as a separate process. Sap master data governance is sold by data domain and number of master data objects under governance.
Master data management data governance conferences seven major conferences are run annually by the mdm institute in london san francisco sydney toronto madrid frankfurt and new york city. George firican is the director of data governance and business intelligence at the university of british columbia which is ranked among the top 20 public universities in the world. This data governance model is characterized by individual business users maintaining their own master data.
But implementing a data governance framework isnt easy. Other times data governance is a part of one or several existing business projects like compliance or mdm efforts. Financial information summit series of conferences.
Data governance creates the rules and adjudication of the operational processes that are executed within those processes. Either way the best part about a data governance framework is that you never really start from scratch. Leads the design.
His passion for data led him towards award winning program implementations in the data governance data quality and business intelligence fields.