Introducing Data Validation for the Tracker API in Interactive Queries¶

Release category: Profiles and Data Unification

Intended audience: This feature is designed for IT professionals, data engineers, marketing professionals, and data analysts to support data management and marketing tasks.

What is New with API Data Validation in Interactive Queries

Users who use Interactive Queries (IQ) can validate data transmitted through the Tracker API directly within IQ as it enters the CDP database.

• Batch view: Verify the integration of source system data into CDP entities.
• Real-time view: Validate events triggered by your WebTag to enable rapid troubleshooting and verify new custom events.

Key benefits of Data Validation in Interactive Queries¶

• Rapid troubleshooting: Address integration issues more swiftly with near real-time data visibility.
• Accurate verification: Ensure that new event structures and custom attributes are ingested correctly.
• Enhanced data tracking: Rely on your tracking setup without requiring assistance from Support or Engineering.
• Streamlined onboarding: Reduce onboarding and QA time when configuring new events.

For detailed implementation instructions, refer to the  documentation.
 

Introducing display name labeling for Custom Attributes in Interactive Queries¶

Release category: Profiles and Data Unification

Intended audience: This feature is designed for IT professionals, data engineers, marketing professionals, and data analysts to support data management and marketing tasks.

What's New with Custom Attributes¶

Interactive Queries display attribute names with custom display names that the user can configure in the application. This feature replaces default system names with business-friendly labels to ensure data analysis clarity and alignment across teams when analyzing data.

Key benefits of Custom Attributes:¶

• Precise identification: Interpret attributes in IQ dashboards with accuracy
• Consistent views: Align data across Campaign+, Metrics, and IQ platforms
• Reduced training: Align with customer-defined terminology
• Improved reporting: Deliver insights for business stakeholders

For detailed implementation instructions, refer to the  documentation.

Introducing Enhanced Data Capabilities: New Entities available in Custom Attributes (CDP Studio)¶

Release category: Integration and Data Collection

Intended audience: This feature is designed for IT or data engineering professionals, marketers, data analysts, and data scientists to support various data and marketing initiatives.

What's New with Custom Attributes in CDP Studio¶

• New Entities added: Use additional entities like Organisation, Message, Campaign, and Dispatch within the Custom Attributes feature.
• Extended Custom Attributes: Gain access to 30 additional custom attributes per table, which increases the total to 330 across the 10 default entities in the CDP Data Model.

Key Benefits of the Enhanced Self-Service Data Model¶

• Greater flexibility:  Import, name, and map attributes to align new data points with existing systems or integrate data from new sources, all through a self-service interface.
• Enhanced data compatibility: Extend your data model with new tables to work with ESP, SMS, mobile apps, and other external systems.
• Increased control over data management: Structure your data independently without reliance on manual configurations, which allows faster adaptation to business needs.
• Optimized for growth: Scale your customer data platform using custom attributes that are customized to meet your specific business needs.

The Self-Service Data Model enables you to expand your data model, facilitate integration and data flow across your systems, and uphold efficiency and reliability. For detailed information on using the Self-Service Data Model, refer to the documentation.

Introducing Data Validation for the Tracker API in Interactive Queries¶

Release category: Profiles and Data Unification

Intended audience: This feature is designed for IT professionals, data engineers, marketing professionals, and data analysts to support data management and marketing tasks.

What is New with API Data Validation in Interactive Queries

Users who use Interactive Queries (IQ) can validate data transmitted through the Tracker API directly within IQ as it enters the CDP database.

• Batch view: Verify the integration of source system data into CDP entities.
• Real-time view: Validate events triggered by your WebTag to enable rapid troubleshooting and verify new custom events.

Key benefits of Data Validation in Interactive Queries¶

• Rapid troubleshooting: Address integration issues more swiftly with near real-time data visibility.
• Accurate verification: Ensure that new event structures and custom attributes are ingested correctly.
• Enhanced data tracking: Rely on your tracking setup without requiring assistance from Support or Engineering.
• Streamlined onboarding: Reduce onboarding and QA time when configuring new events.

For detailed implementation instructions, refer to the  documentation.
 

Introducing display name labeling for Custom Attributes in Interactive Queries¶

Release category: Profiles and Data Unification

Intended audience: This feature is designed for IT professionals, data engineers, marketing professionals, and data analysts to support data management and marketing tasks.

What's New with Custom Attributes¶

Interactive Queries display attribute names with custom display names that the user can configure in the application. This feature replaces default system names with business-friendly labels to ensure data analysis clarity and alignment across teams when analyzing data.

Key benefits of Custom Attributes:¶

• Precise identification: Interpret attributes in IQ dashboards with accuracy
• Consistent views: Align data across Campaign+, Metrics, and IQ platforms
• Reduced training: Align with customer-defined terminology
• Improved reporting: Deliver insights for business stakeholders

For detailed implementation instructions, refer to the  documentation.

Introducing Enhanced Data Capabilities: New Entities available in Custom Attributes (CDP Studio)¶

Release category: Integration and Data Collection

Intended audience: This feature is designed for IT or data engineering professionals, marketers, data analysts, and data scientists to support various data and marketing initiatives.

What's New with Custom Attributes in CDP Studio¶

• New Entities added: Use additional entities like Organisation, Message, Campaign, and Dispatch within the Custom Attributes feature.
• Extended Custom Attributes: Gain access to 30 additional custom attributes per table, which increases the total to 330 across the 10 default entities in the CDP Data Model.

Key Benefits of the Enhanced Self-Service Data Model¶

• Greater flexibility:  Import, name, and map attributes to align new data points with existing systems or integrate data from new sources, all through a self-service interface.
• Enhanced data compatibility: Extend your data model with new tables to work with ESP, SMS, mobile apps, and other external systems.
• Increased control over data management: Structure your data independently without reliance on manual configurations, which allows faster adaptation to business needs.
• Optimized for growth: Scale your customer data platform using custom attributes that are customized to meet your specific business needs.

The Self-Service Data Model enables you to expand your data model, facilitate integration and data flow across your systems, and uphold efficiency and reliability. For detailed information on using the Self-Service Data Model, refer to the documentation.

Introducing Data Validation for the Tracker API in Interactive Queries¶

Release category: Profiles and Data Unification

Intended audience: This feature is designed for IT professionals, data engineers, marketing professionals, and data analysts to support data management and marketing tasks.

What is New with API Data Validation in Interactive Queries

Users who use Interactive Queries (IQ) can validate data transmitted through the Tracker API directly within IQ as it enters the CDP database.

• Batch view: Verify the integration of source system data into CDP entities.
• Real-time view: Validate events triggered by your WebTag to enable rapid troubleshooting and verify new custom events.

Key benefits of Data Validation in Interactive Queries¶

• Rapid troubleshooting: Address integration issues more swiftly with near real-time data visibility.
• Accurate verification: Ensure that new event structures and custom attributes are ingested correctly.
• Enhanced data tracking: Rely on your tracking setup without requiring assistance from Support or Engineering.
• Streamlined onboarding: Reduce onboarding and QA time when configuring new events.

For detailed implementation instructions, refer to the  documentation.
 

Introducing display name labeling for Custom Attributes in Interactive Queries¶

Release category: Profiles and Data Unification

Intended audience: This feature is designed for IT professionals, data engineers, marketing professionals, and data analysts to support data management and marketing tasks.

What's New with Custom Attributes¶

Interactive Queries display attribute names with custom display names that the user can configure in the application. This feature replaces default system names with business-friendly labels to ensure data analysis clarity and alignment across teams when analyzing data.

Key benefits of Custom Attributes:¶

• Precise identification: Interpret attributes in IQ dashboards with accuracy
• Consistent views: Align data across Campaign+, Metrics, and IQ platforms
• Reduced training: Align with customer-defined terminology
• Improved reporting: Deliver insights for business stakeholders

For detailed implementation instructions, refer to the  documentation.

Introducing Enhanced Data Capabilities: New Entities available in Custom Attributes (CDP Studio)¶

Release category: Integration and Data Collection

Intended audience: This feature is designed for IT or data engineering professionals, marketers, data analysts, and data scientists to support various data and marketing initiatives.

What's New with Custom Attributes in CDP Studio¶

• New Entities added: Use additional entities like Organisation, Message, Campaign, and Dispatch within the Custom Attributes feature.
• Extended Custom Attributes: Gain access to 30 additional custom attributes per table, which increases the total to 330 across the 10 default entities in the CDP Data Model.

Key Benefits of the Enhanced Self-Service Data Model¶

• Greater flexibility:  Import, name, and map attributes to align new data points with existing systems or integrate data from new sources, all through a self-service interface.
• Enhanced data compatibility: Extend your data model with new tables to work with ESP, SMS, mobile apps, and other external systems.
• Increased control over data management: Structure your data independently without reliance on manual configurations, which allows faster adaptation to business needs.
• Optimized for growth: Scale your customer data platform using custom attributes that are customized to meet your specific business needs.

The Self-Service Data Model enables you to expand your data model, facilitate integration and data flow across your systems, and uphold efficiency and reliability. For detailed information on using the Self-Service Data Model, refer to the documentation.

Introducing Data Validation for the Tracker API in Interactive Queries¶

Release category: Profiles and Data Unification

Intended audience: This feature is designed for IT professionals, data engineers, marketing professionals, and data analysts to support data management and marketing tasks.

What is New with API Data Validation in Interactive Queries

Users who use Interactive Queries (IQ) can validate data transmitted through the Tracker API directly within IQ as it enters the CDP database.

• Batch view: Verify the integration of source system data into CDP entities.
• Real-time view: Validate events triggered by your WebTag to enable rapid troubleshooting and verify new custom events.

Key benefits of Data Validation in Interactive Queries¶

• Rapid troubleshooting: Address integration issues more swiftly with near real-time data visibility.
• Accurate verification: Ensure that new event structures and custom attributes are ingested correctly.
• Enhanced data tracking: Rely on your tracking setup without requiring assistance from Support or Engineering.
• Streamlined onboarding: Reduce onboarding and QA time when configuring new events.

For detailed implementation instructions, refer to the  documentation.
 

Introducing display name labeling for Custom Attributes in Interactive Queries¶

Release category: Profiles and Data Unification

Intended audience: This feature is designed for IT professionals, data engineers, marketing professionals, and data analysts to support data management and marketing tasks.

What's New with Custom Attributes¶

Interactive Queries display attribute names with custom display names that the user can configure in the application. This feature replaces default system names with business-friendly labels to ensure data analysis clarity and alignment across teams when analyzing data.

Key benefits of Custom Attributes:¶

• Precise identification: Interpret attributes in IQ dashboards with accuracy
• Consistent views: Align data across Campaign+, Metrics, and IQ platforms
• Reduced training: Align with customer-defined terminology
• Improved reporting: Deliver insights for business stakeholders

For detailed implementation instructions, refer to the  documentation.

Introducing Enhanced Data Capabilities: New Entities available in Custom Attributes (CDP Studio)¶

Release category: Integration and Data Collection

Intended audience: This feature is designed for IT or data engineering professionals, marketers, data analysts, and data scientists to support various data and marketing initiatives.

What's New with Custom Attributes in CDP Studio¶

• New Entities added: Use additional entities like Organisation, Message, Campaign, and Dispatch within the Custom Attributes feature.
• Extended Custom Attributes: Gain access to 30 additional custom attributes per table, which increases the total to 330 across the 10 default entities in the CDP Data Model.

Key Benefits of the Enhanced Self-Service Data Model¶

• Greater flexibility:  Import, name, and map attributes to align new data points with existing systems or integrate data from new sources, all through a self-service interface.
• Enhanced data compatibility: Extend your data model with new tables to work with ESP, SMS, mobile apps, and other external systems.
• Increased control over data management: Structure your data independently without reliance on manual configurations, which allows faster adaptation to business needs.
• Optimized for growth: Scale your customer data platform using custom attributes that are customized to meet your specific business needs.

The Self-Service Data Model enables you to expand your data model, facilitate integration and data flow across your systems, and uphold efficiency and reliability. For detailed information on using the Self-Service Data Model, refer to the documentation.

Introducing Data Validation for the Tracker API in Interactive Queries¶

Release category: Profiles and Data Unification

Intended audience: This feature is designed for IT professionals, data engineers, marketing professionals, and data analysts to support data management and marketing tasks.

What is New with API Data Validation in Interactive Queries

Users who use Interactive Queries (IQ) can validate data transmitted through the Tracker API directly within IQ as it enters the CDP database.

• Batch view: Verify the integration of source system data into CDP entities.
• Real-time view: Validate events triggered by your WebTag to enable rapid troubleshooting and verify new custom events.

Key benefits of Data Validation in Interactive Queries¶

• Rapid troubleshooting: Address integration issues more swiftly with near real-time data visibility.
• Accurate verification: Ensure that new event structures and custom attributes are ingested correctly.
• Enhanced data tracking: Rely on your tracking setup without requiring assistance from Support or Engineering.
• Streamlined onboarding: Reduce onboarding and QA time when configuring new events.

For detailed implementation instructions, refer to the  documentation.
 

Introducing display name labeling for Custom Attributes in Interactive Queries¶

Release category: Profiles and Data Unification

Intended audience: This feature is designed for IT professionals, data engineers, marketing professionals, and data analysts to support data management and marketing tasks.

What's New with Custom Attributes¶

Interactive Queries display attribute names with custom display names that the user can configure in the application. This feature replaces default system names with business-friendly labels to ensure data analysis clarity and alignment across teams when analyzing data.

Key benefits of Custom Attributes:¶

• Precise identification: Interpret attributes in IQ dashboards with accuracy
• Consistent views: Align data across Campaign+, Metrics, and IQ platforms
• Reduced training: Align with customer-defined terminology
• Improved reporting: Deliver insights for business stakeholders

For detailed implementation instructions, refer to the  documentation.

Introducing Enhanced Data Capabilities: New Entities available in Custom Attributes (CDP Studio)¶

Release category: Integration and Data Collection

Intended audience: This feature is designed for IT or data engineering professionals, marketers, data analysts, and data scientists to support various data and marketing initiatives.

What's New with Custom Attributes in CDP Studio¶

• New Entities added: Use additional entities like Organisation, Message, Campaign, and Dispatch within the Custom Attributes feature.
• Extended Custom Attributes: Gain access to 30 additional custom attributes per table, which increases the total to 330 across the 10 default entities in the CDP Data Model.

Key Benefits of the Enhanced Self-Service Data Model¶

• Greater flexibility:  Import, name, and map attributes to align new data points with existing systems or integrate data from new sources, all through a self-service interface.
• Enhanced data compatibility: Extend your data model with new tables to work with ESP, SMS, mobile apps, and other external systems.
• Increased control over data management: Structure your data independently without reliance on manual configurations, which allows faster adaptation to business needs.
• Optimized for growth: Scale your customer data platform using custom attributes that are customized to meet your specific business needs.

The Self-Service Data Model enables you to expand your data model, facilitate integration and data flow across your systems, and uphold efficiency and reliability. For detailed information on using the Self-Service Data Model, refer to the documentation.

Introducing Data Validation for the Tracker API in Interactive Queries¶

Release category: Profiles and Data Unification

Intended audience: This feature is designed for IT professionals, data engineers, marketing professionals, and data analysts to support data management and marketing tasks.

What is New with API Data Validation in Interactive Queries

Users who use Interactive Queries (IQ) can validate data transmitted through the Tracker API directly within IQ as it enters the CDP database.

• Batch view: Verify the integration of source system data into CDP entities.
• Real-time view: Validate events triggered by your WebTag to enable rapid troubleshooting and verify new custom events.

Key benefits of Data Validation in Interactive Queries¶

• Rapid troubleshooting: Address integration issues more swiftly with near real-time data visibility.
• Accurate verification: Ensure that new event structures and custom attributes are ingested correctly.
• Enhanced data tracking: Rely on your tracking setup without requiring assistance from Support or Engineering.
• Streamlined onboarding: Reduce onboarding and QA time when configuring new events.

For detailed implementation instructions, refer to the  documentation.
 

Introducing display name labeling for Custom Attributes in Interactive Queries¶

Release category: Profiles and Data Unification

Intended audience: This feature is designed for IT professionals, data engineers, marketing professionals, and data analysts to support data management and marketing tasks.

What's New with Custom Attributes¶

Interactive Queries display attribute names with custom display names that the user can configure in the application. This feature replaces default system names with business-friendly labels to ensure data analysis clarity and alignment across teams when analyzing data.

Key benefits of Custom Attributes:¶

• Precise identification: Interpret attributes in IQ dashboards with accuracy
• Consistent views: Align data across Campaign+, Metrics, and IQ platforms
• Reduced training: Align with customer-defined terminology
• Improved reporting: Deliver insights for business stakeholders

For detailed implementation instructions, refer to the  documentation.

Introducing Enhanced Data Capabilities: New Entities available in Custom Attributes (CDP Studio)¶

Release category: Integration and Data Collection

Intended audience: This feature is designed for IT or data engineering professionals, marketers, data analysts, and data scientists to support various data and marketing initiatives.

What's New with Custom Attributes in CDP Studio¶

• New Entities added: Use additional entities like Organisation, Message, Campaign, and Dispatch within the Custom Attributes feature.
• Extended Custom Attributes: Gain access to 30 additional custom attributes per table, which increases the total to 330 across the 10 default entities in the CDP Data Model.

Key Benefits of the Enhanced Self-Service Data Model¶

• Greater flexibility:  Import, name, and map attributes to align new data points with existing systems or integrate data from new sources, all through a self-service interface.
• Enhanced data compatibility: Extend your data model with new tables to work with ESP, SMS, mobile apps, and other external systems.
• Increased control over data management: Structure your data independently without reliance on manual configurations, which allows faster adaptation to business needs.
• Optimized for growth: Scale your customer data platform using custom attributes that are customized to meet your specific business needs.

The Self-Service Data Model enables you to expand your data model, facilitate integration and data flow across your systems, and uphold efficiency and reliability. For detailed information on using the Self-Service Data Model, refer to the documentation.

Introducing Data Validation for the Tracker API in Interactive Queries¶

Release category: Profiles and Data Unification

Intended audience: This feature is designed for IT professionals, data engineers, marketing professionals, and data analysts to support data management and marketing tasks.

What is New with API Data Validation in Interactive Queries

Users who use Interactive Queries (IQ) can validate data transmitted through the Tracker API directly within IQ as it enters the CDP database.

• Batch view: Verify the integration of source system data into CDP entities.
• Real-time view: Validate events triggered by your WebTag to enable rapid troubleshooting and verify new custom events.

Key benefits of Data Validation in Interactive Queries¶

• Rapid troubleshooting: Address integration issues more swiftly with near real-time data visibility.
• Accurate verification: Ensure that new event structures and custom attributes are ingested correctly.
• Enhanced data tracking: Rely on your tracking setup without requiring assistance from Support or Engineering.
• Streamlined onboarding: Reduce onboarding and QA time when configuring new events.

For detailed implementation instructions, refer to the  documentation.
 

Introducing display name labeling for Custom Attributes in Interactive Queries¶

Release category: Profiles and Data Unification

Intended audience: This feature is designed for IT professionals, data engineers, marketing professionals, and data analysts to support data management and marketing tasks.

What's New with Custom Attributes¶

Interactive Queries display attribute names with custom display names that the user can configure in the application. This feature replaces default system names with business-friendly labels to ensure data analysis clarity and alignment across teams when analyzing data.

Key benefits of Custom Attributes:¶

• Precise identification: Interpret attributes in IQ dashboards with accuracy
• Consistent views: Align data across Campaign+, Metrics, and IQ platforms
• Reduced training: Align with customer-defined terminology
• Improved reporting: Deliver insights for business stakeholders

For detailed implementation instructions, refer to the  documentation.

Introducing Enhanced Data Capabilities: New Entities available in Custom Attributes (CDP Studio)¶

Release category: Integration and Data Collection

Intended audience: This feature is designed for IT or data engineering professionals, marketers, data analysts, and data scientists to support various data and marketing initiatives.

What's New with Custom Attributes in CDP Studio¶

• New Entities added: Use additional entities like Organisation, Message, Campaign, and Dispatch within the Custom Attributes feature.
• Extended Custom Attributes: Gain access to 30 additional custom attributes per table, which increases the total to 330 across the 10 default entities in the CDP Data Model.

Key Benefits of the Enhanced Self-Service Data Model¶

• Greater flexibility:  Import, name, and map attributes to align new data points with existing systems or integrate data from new sources, all through a self-service interface.
• Enhanced data compatibility: Extend your data model with new tables to work with ESP, SMS, mobile apps, and other external systems.
• Increased control over data management: Structure your data independently without reliance on manual configurations, which allows faster adaptation to business needs.
• Optimized for growth: Scale your customer data platform using custom attributes that are customized to meet your specific business needs.

The Self-Service Data Model enables you to expand your data model, facilitate integration and data flow across your systems, and uphold efficiency and reliability. For detailed information on using the Self-Service Data Model, refer to the documentation.

Introducing Data Validation for the Tracker API in Interactive Queries¶

Release category: Profiles and Data Unification

Intended audience: This feature is designed for IT professionals, data engineers, marketing professionals, and data analysts to support data management and marketing tasks.

What is New with API Data Validation in Interactive Queries

Users who use Interactive Queries (IQ) can validate data transmitted through the Tracker API directly within IQ as it enters the CDP database.

• Batch view: Verify the integration of source system data into CDP entities.
• Real-time view: Validate events triggered by your WebTag to enable rapid troubleshooting and verify new custom events.

Key benefits of Data Validation in Interactive Queries¶

• Rapid troubleshooting: Address integration issues more swiftly with near real-time data visibility.
• Accurate verification: Ensure that new event structures and custom attributes are ingested correctly.
• Enhanced data tracking: Rely on your tracking setup without requiring assistance from Support or Engineering.
• Streamlined onboarding: Reduce onboarding and QA time when configuring new events.

For detailed implementation instructions, refer to the  documentation.
 

Introducing display name labeling for Custom Attributes in Interactive Queries¶

Release category: Profiles and Data Unification

Intended audience: This feature is designed for IT professionals, data engineers, marketing professionals, and data analysts to support data management and marketing tasks.

What's New with Custom Attributes¶

Interactive Queries display attribute names with custom display names that the user can configure in the application. This feature replaces default system names with business-friendly labels to ensure data analysis clarity and alignment across teams when analyzing data.

Key benefits of Custom Attributes:¶

• Precise identification: Interpret attributes in IQ dashboards with accuracy
• Consistent views: Align data across Campaign+, Metrics, and IQ platforms
• Reduced training: Align with customer-defined terminology
• Improved reporting: Deliver insights for business stakeholders

For detailed implementation instructions, refer to the  documentation.

Introducing Enhanced Data Capabilities: New Entities available in Custom Attributes (CDP Studio)¶

Release category: Integration and Data Collection

Intended audience: This feature is designed for IT or data engineering professionals, marketers, data analysts, and data scientists to support various data and marketing initiatives.

What's New with Custom Attributes in CDP Studio¶

• New Entities added: Use additional entities like Organisation, Message, Campaign, and Dispatch within the Custom Attributes feature.
• Extended Custom Attributes: Gain access to 30 additional custom attributes per table, which increases the total to 330 across the 10 default entities in the CDP Data Model.

Key Benefits of the Enhanced Self-Service Data Model¶

• Greater flexibility:  Import, name, and map attributes to align new data points with existing systems or integrate data from new sources, all through a self-service interface.
• Enhanced data compatibility: Extend your data model with new tables to work with ESP, SMS, mobile apps, and other external systems.
• Increased control over data management: Structure your data independently without reliance on manual configurations, which allows faster adaptation to business needs.
• Optimized for growth: Scale your customer data platform using custom attributes that are customized to meet your specific business needs.

The Self-Service Data Model enables you to expand your data model, facilitate integration and data flow across your systems, and uphold efficiency and reliability. For detailed information on using the Self-Service Data Model, refer to the documentation.