InfoTrellis’ Data Governance Methodology follows a multi-phased iterative approach with 4 stages – Initiate, Define, Deploy and Optimize. This article is the second part of the Data Governance Methodology series by InfoTrellis. The first part of this series – Initiate your Data Governance – listed the essential foundations of successful Data Governance program.
‘Define’ stage primarily deals with defining effective Policies to address Data Governance issues. This article lists the important considerations of this stage.
Understand your Data Governance problem
Detailed investigation to understand the root cause of problem is essential to identify and solve Data Governance issues. For instance, a revenue amount discrepancy in financial report may look like a calculation error in first glance. Upon deep analysis, it could be revealed to be the result of interpreting the same business term, revenue, differently by different users which led to users applying different logic to arrive at the monthly figure.
Once we know the root cause of problem, it is important to categorize it. From our experience, categorizing a business problem into Data Domain Management, Business Process and Data Management Governance areas act as high level guides to understand the nature and scope of Data Governance problem. For example the revenue discrepancy problem mentioned above can be categorized into Finance data domain belonging to Accounting business process and Metadata Management Governance area. This helps to focus on the problem with the correct perspective.
Once we know the root cause of problem, it is important to categorize it. From our experience, categorizing a business problem into Data Domain Management, Business Process and Data Management Governance areas act as high level guides to understand the nature and scope of Data Governance problem. For example the revenue discrepancy problem mentioned above can be categorized into Finance data domain belonging to Accounting business process and Metadata Management Governance area. This helps to focus on the problem with the correct perspective.
Assemble the team to define Policies
Data Governance is a wide domain and requires varied skillset. For instance, Metadata management skills are different from Data Retention skills. Categorizing the business problem as mentioned above also helps in identifying the required skillset to resolve the issue. From our experience, a dynamic team composition based on the nature of business problem works the best. Typical members of this team are Data owners and Architect of pertinent IT/Business system, Business Data Stewards and Technical Data Stewards who understand the business domain and the mapped Data Governance area.
Read more news at, http://www.infotrellis.com/define-data-governance/
Read more news at, http://www.infotrellis.com/define-data-governance/
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