There is growing awareness that for practitioners to effectively manage data as an asset to the business, that data must not be simply collected and moved between systems, but must be validated to ensure the level of trust that the data is fit for its various downstream purposes. This demands conformance to business rules that accurately reflect meeting the needs of defined business policies. Understanding business policies, transforming them into data rules, and implementing those rules is the process of data governance. Organizations whose understanding enables their ability to effectively govern their data are gaining business advantage as they leverage data quality, metadata, and data governance tools to translate business policies into consistent, useful data.
In this webinar we discuss three key facets of synergizing the use of master data management and data quality technologies for business policy compliance. First, we discuss the practical steps for iterative refinement of business policies to understand the data dependencies and how written business policies embed business rules. Second, we discuss how to transform business rules into formal data governance requirements to be applied across the data environment. Third, we explore how tools balance collaboration among business users with automated execution of business policy compliance.
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Individual, Student, & Team memberships available.