[tabby title=»Performed»] Data quality assessments are performed and results are documented. Example Work Products Data quality rules Data quality assessment results [tabby title=»Managed»] 2.1 Data quality assessment objectives, targets, and thresholds are established, used, and maintained according to standard techniques and processes. 2.2 Data governance determines the key set of attributes by subject area for […]
Monthly Archives: noviembre 2017
Example Work Products
Example Work Products
Purpose
Defines an integrated, organization-wide strategy to achieve and maintain the level of data quality required to support the business goals and objectives.
Introductory Notes
Data quality strategy defines the goals, objectives, and plans for improving data integrity. It is the blueprint used to inculcate a perspective of shared responsibility for the quality of data. The data quality strategy should address the following items: meaning; data store design (e.g., referential integrity, normalization, cardinality, hierarchy management, optionality constraints); and business process. […]
Goals
GOALS 1. A data quality strategy, collaboratively developed with lines of business, is aligned with business goals. 2. Data quality priorities and goals are translated into actionable criteria, and are aligned with organizational objectives. 3. An organization-wide data quality program is defined, and correspond- ing roles and responsibilities are established to meet program needs (e.g., […]
Core Questions
1. Is data quality emphasized in all initiatives involving the data stores? 2. How does the organization measure data quality program progress? 3. What organizational unit is responsible for maintaining the data quality strategy? 4. What organizational units are tasked with data quality initiatives? How are decisions made about standards, methods, and techniques? 5. Are […]
Related Process Area
Data Requirements Definition provides assistance in determining data quality objec- tives and development of detailed criteria. Data Management Strategy addresses information to aid in development of the data quality strategy, which should align with the organization’s data management strategy. Data Quality Assessment, Data Profiling, and Data Cleansing contain specific practices that contribute to improving the […]
Functional Practice
[tabby title=»Performed»] Level 1: Performed 1.1 Data quality objectives, rules, and criteria are documented. Project level criteria include established standards, control processing, and metrics such as error rates and quality thresholds. 1.2 Business stakeholders participate in setting data quality criteria and objec- tives. 1.3 Data quality plans are followed; rules are implemented; criteria are monitored. […]