Data Governance Implementation Assessment

CDGC Outcomes:

• One (1) one-hour metadata review conducted, focusing on tagging consistency across glossary terms and assessing the use of business metadata attributes for improved searchability

• One (1) two-hour session held to review enrichment practices to facilitate easier filtering for end user adoption and better insights discovery, including sensitive data discovery and classifications

• One (1) one-hour session held to review CDGC dashboard for monitoring metadata execution job health and error instances (if applicable)

• Up to three (3) one-hour scanner configuration review sessions conducted

• One (1) one-hour session held to review recommendations for customized dashboard configurations intended to align with key performance indicators  that provide operational metrics like lineage scope, usage trends, profiling frequency, and glossary alignment

• One (1) one-hour session held to review integration of automation tools (e.g., pre-configured scanner lineage setups) intended to expand reporting coverage for data observability needs

• One (1) one-hour session to go over the production deployment strategy and steps

CDQ Outcomes:

• One (1) two-hour session to review data quality rule design, focusing on standardization, reusability, and complexity

• One (1) two-hour session to assess the effectiveness of data profiling and scorecard configurations for monitoring key data elements and critical data quality dimensions

• One (1) one-hour session to review the use of CDQ dashboards and reporting for tracking data quality metrics and identifying areas for improvement

• Up to three (3) one-hour sessions to review the configuration of data quality mappings and task flows, including error handling and performance tuning

• One (1) one-hour session to review recommendations for creating custom reports and dashboards that align with key performance indicators and provide operational metrics on data quality issue remediation

• One (1) one-hour session to review the integration of automation through scheduling, parameter files, and API calls to streamline data quality processes

• One (1) one-hour session to go over the production deployment strategy and best practices for managing data quality assets

CDMP Outcomes:

• One (1) two-hour session to evaluate the existing foundational CDMP setup, business alignment, and marketplace user role definitions to identify governance gaps

• One (1) two-hour session to audit current CDMP data categories, terms of use, and delivery templates to ensure they meet organizational standards

• Up to 4 (four) one-hour sessions to assess how existing CDMP data collections are packaged, enriched, and discovered, providing hands-on recommendations for improvement

• One (1) one-hour session to evaluate the end-to-end CDMP consumer journey, auditing the search experience, checkout approval workflows, and fulfillment bottlenecks

• One (1) one-hour session to identify opportunities to use CDMP REST APIs to automate repeatable, manual marketplace activities and integrate with external systems

• One (1) one-hour session to analyze current CDMP usage metrics and deliver a prioritized roadmap of recommendations to scale marketplace maturity

• Recommended actions intended to optimize Customer's data governance implementation