Data Quality Self Assessment
The Data Quality (DQ) Self Assessment service gives you the power to identify, understand, and correct flaws that support effective data and analytics governance across operational business processes and decision-making. This service provides access to tools with a wide range of fundamental capabilities to improve data quality, such as profiling, parsing, standardization, cleansing, matching, monitoring, rule creation, and analytics, as well as consultation on identifying and addressing data quality challenges.
Benefits
- Proactively cleanse data from various data sources.
- Ability to standardize, parse, verify, and find duplicates.
- Measure and monitor DQ through scorecards and reports saving time.
- Enable quality data across the university for reporting and other uses.
- Detect data standard inconsistencies, identify missing data, and map codes.
Features
- Access to the Informatica Intelligent Data Management Cloud (IDMC)® toolset.
- Upload source files to assess DQ.
- Set rules for conducting the DQ assessment.
- Automate DQ reviews into workflows
- Consultation services for setup and usage.
Eligibility
- Faculty and staff members