Who within our organization is responsible for ensuring data quality and accuracy before it's used for ad targeting?

Ensuring data quality and accuracy before using it for ad targeting involves multiple roles within an organization. Here's a breakdown of the key stakeholders typically involved:

### 1. **Data Governance Team**

- **Responsibilities**: Establishing data quality standards, policies, and procedures. They ensure that data handling practices comply with regulatory requirements and organizational standards.
- **Key Roles**: Data Governance Manager, Chief Data Officer (CDO).

### 2. **Data Quality Manager**

- **Responsibilities**: Overseeing the processes and tools used to validate and clean data. They implement data quality checks and ensure that the data meets accuracy and integrity standards.
- **Key Roles**: Data Quality Manager, Data Quality Analyst.

### 3. **Marketing Team**

- **Responsibilities**: Defining the criteria for ad targeting and working closely with data teams to ensure that the data used meets their requirements. They provide insights into how data should be segmented and used for campaigns.
- **Key Roles**: Marketing Manager, Digital Marketing Specialist, Ad Operations Manager.

### 4. **IT Department**

- **Responsibilities**: Implementing and maintaining data management and validation systems. They are responsible for integrating data quality tools and ensuring that the infrastructure supports data accuracy.
- **Key Roles**: IT Manager, Systems Administrator, Data Integration Specialist.

### 5. **Data Analysts**

- **Responsibilities**: Analyzing data to ensure it is accurate and useful for targeting. They may conduct regular audits and create reports on data quality metrics.
- **Key Roles**: Data Analyst, Business Intelligence (BI) Analyst.

### 6. **Compliance and Legal Team**

- **Responsibilities**: Ensuring that data usage complies with privacy regulations and industry standards. They review data handling practices and provide guidance on legal and regulatory requirements.
- **Key Roles**: Compliance Officer, Legal Counsel.

### 7. **Customer Relationship Management (CRM) Team**

- **Responsibilities**: Maintaining and updating customer databases. They ensure that customer data is accurate and reflects the most current information.
- **Key Roles**: CRM Manager, CRM Specialist.

### 8. **Data Engineers**

- **Responsibilities**: Building and maintaining data pipelines and ensuring that data flows correctly from sources to target systems. They also handle data transformations and cleaning processes.
- **Key Roles**: Data Engineer, ETL Developer.

### 9. **Product Managers**

- **Responsibilities**: Defining the requirements for data used in product-related marketing. They collaborate with other teams to ensure that the data aligns with product goals and strategies.
- **Key Roles**: Product Manager, Product Marketing Manager.

### **Collaboration and Coordination**

To effectively ensure data quality and accuracy for ad targeting, these roles should collaborate closely:

- **Regular Meetings**: Hold regular meetings between data governance, marketing, IT, and compliance teams to align on data quality goals and practices.
- **Clear Communication**: Establish clear communication channels to address data quality issues and updates promptly.
- **Integrated Tools**: Use integrated tools and systems to streamline data validation and quality assurance processes across teams.
- **Documentation**: Maintain thorough documentation of data quality procedures, validation processes, and compliance measures.

By defining and assigning these responsibilities clearly within your organization, you can create a robust framework to ensure that your data is accurate, compliant, and effectively utilized for ad targeting.