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 |