We have the capabilities related to managing an organization through the lens of Technology teams and culture.
|Consumption||Data Acquisition||Data Governance||Data Quality||Data Architecture|
|Is there a Data Demand Process that consumers of data use to define what data they need?||Are the Data Interfaces defined between the strategic data repositories and the source data systems?||Is there a Data Management Policy defining data principles, standards, governance and procedures?||What are the Critical Data Elements for each business process?||Is there an Information Model for the organization?|
|Are there Consumption Service Level Agreements (SLAs) between the consumers of data and the providers of data?||Are there Source System Service Level Agreements (SLAs) between data sources and strategic data repositories?||What are the Strategic Data Repositories?||What Data Elements are being measured? Which are not being measured for data quality?||Do you have a current state and Target State Data Architecture?|
|Is there a formal Book of Work which is published periodically to ensure data needs by consumers are focused in priority order?||Is there a Data Acquisition Process to define, test and implement changes to data interface?||Who is allowed access to what type of data? Who are the Data Governance Officers and have they approved access on behalf of the business?||What types of Data Quality Controls (completeness, accuracy, etc.) are defined and how frequently are they tested?||Do you have a multi-year Data Roadmap that gets you from your current to your target-state data architecture?|
|Not all data processing flows are equal. Do you have Data Flow Classifications to ensure the most important flows are prioritized?||Having an effective and disciplined Data Operations Team that can also serve as data subject matter experts (SMEs)||What are the Authorized Reference Data sources?||How is data quality monitored? What Data Quality Scorecard metrics are used to show improvements over time?||Ensure the use of Data Standards via program and project architecture reviews|
|Consolidating to standard data sources will highlight Inconsistent Business Processes. Learn best practices to deal with these situations.||The importance of a Change Management Process to include upstream system changes that may impact data that has already been acquired||How are Data Quality Issues tracked, fixed, closed and reported on?||Architecture Design Principles that should be part of your organization’s development culture|