Decision Domains

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Decision Domains by Mind Map: Decision Domains

1. Data Quality

1.1. Data quality

1.1.1. Missing field

1.1.2. Incomplete customers' data

1.1.3. Data consistency

1.2. Data Entry Errors

1.2.1. Data entry human error

1.2.1.1. Considering the employees' competencies

1.2.2. Manual entry processes

1.2.3. Overloaded staff

1.2.4. Auto data capture

1.3. Understanding what data is bad

1.4. Legacy data

1.5. Data auditing

1.6. Losing business due to data quality

1.7. Lack of trust

2. Data Lifecycle

2.1. Data integrity

2.2. Data cleaning

2.2.1. Dirty data

2.2.2. Data cleaning processes

2.3. Data related roles and responsibilities

2.4. Governance issue

2.4.1. Who control the processes

2.4.2. How the processes are controlled

2.5. Cost of governing the data

2.5.1. Cost of implementing systems

2.5.2. The cost of training people

2.5.3. Data integrity cost

2.6. Centralized customer data set

2.7. Data quality separate project

2.8. Reputation

2.9. Disjointed processes

2.10. Dual data capture

3. Data Access

4. Data Principles

4.1. Lack of enforced data entry standards

4.2. Understand the cost of the bad data

4.2.1. Cost of legacy data

4.3. Complex data requirements

4.4. Outsourcing and third party verification

4.5. Data strategy

4.5.1. Data integration

4.5.2. Avilability

4.5.3. Process integration

4.5.4. System integration

4.6. Heavily regulated industry

4.7. Resources to do DG

4.8. Lack of governance

4.9. Task force strategy

4.10. Impact of data governance in the reputation

4.11. Realization of the needed to do data governance

4.12. Poor implemented rules

4.13. Cost of poor data

5. Metadata