Category: 01 Data Quality Strategy

Defines an integrated, organization-wide strategy to achieve and maintain the level of data quality required to support the business goals and objectives.

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 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., […]

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 […]

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 […]

[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. […]