Looker dashboards

Qwiklabs-Courses

12 Apr 202401:28

Summary

TLDRThe video script introduces the utility of Looker dashboards for analyzing Google Contact Center AI (CCAI) Insights. It highlights how CCAI Insights integrates with Looker to offer a comprehensive business perspective by merging Insights data with other first-party data sources. The script guides users on how to export CCAI Insights data and utilize Looker Blocks for various Google Contact Center applications, emphasizing the importance of setting up jobs with proper filters or integrating with Cloud Data Fusion for a scheduled analysis. Looker's pre-built data models and visualizations cater to common analytical needs, providing a robust tool for business insights.

Takeaways

📊 **Looker Dashboards for Analytics**: The script introduces the use of pre-built Looker dashboards for reviewing conversation analytics.
🔍 **Understanding Utility**: The utility of Looker dashboards with CCAI Insights is emphasized, highlighting their role in understanding business analytics.
🧩 **Integration with Looker Block**: CCAI Insights integrates with the Looker Block to provide a more holistic view by aggregating data from outside Contact Center sources.
🔧 **Data Model Flexibility**: The flexibility of the Looker data model allows for the integration of Insights data with other first-party data to unlock deeper business insights.
📚 **Exporting CCAI Insights Data**: Instructions are provided for exporting CCAI Insights data, which is necessary for utilizing the Looker block.
⏰ **Scheduling and Filters**: It's important to set the job to run on a schedule with appropriate filters or integrate with Cloud Data Fusion for effective data analysis.
📈 **Looker Blocks for Google Contact Center**: Looker offers specific blocks for Google Contact Center, including Virtual Agents, Agent Assist, and Insights.
📊 **Pre-built Data Models**: Looker provides embedded visualizations and pre-built data models for common analytical patterns and data sources.
🔗 **Data Integration**: The script suggests the integration of Insights data with other data sources for comprehensive business analysis.
🛠️ **Technical Setup**: Before using the Looker block, technical setup including data export and integration is required.
📝 **Documentation and Guidance**: The script implies the need for following specific documentation and guidance for effective use of the Looker block with CCAI Insights.

Q & A

What is the main purpose of using Looker dashboards with Google Contact Center AI (CCAI) Insights?
-The main purpose is to review and analyze conversation analytics, providing a holistic view of the business by integrating CCAI Insights data with other first-party data sources.
How does CCAI Insights integrate with Looker?
-CCAI Insights integrates with the Looker Block, allowing users to aggregate data outside of Contact Center sources and analyze it within Looker.
What benefits does the flexibility of the data model offer in the context of Looker and CCAI Insights?
-The flexibility of the data model enables the integration of Insights data with other first-party data, which helps in unlocking deep business insights.
What is required before utilizing the Looker block for CCAI Insights?
-Before utilizing the Looker block, one needs to follow the instructions for exporting CCAI Insights data and set the job to run on a schedule with appropriate filters or integrate with Cloud Data Fusion.
What are Looker Blocks and how do they relate to Google Contact Center?
-Looker Blocks are pre-built data models and embedded visualizations provided by Looker for Google Contact Center, including Virtual Agents, Agent Assist, and Insights.
What does the term 'CCAI Insights outputs' refer to in the context of the script?
-CCAI Insights outputs refer to the data exported from the CCAI Insights solution, which can be reviewed and analyzed in Looker.
How can users ensure the Looker block is set up correctly for CCAI Insights data?
-Users need to follow the specific instructions for exporting CCAI Insights data and ensure the job is scheduled correctly, with filters if necessary, or integrate with Cloud Data Fusion for proper setup.
What are the common analytical patterns and data sources that Looker provides embedded visualizations for?
-Looker provides embedded visualizations and pre-built data models for common analytical patterns and data sources related to Google Contact Center operations.
What is the significance of Cloud Data Fusion in the context of Looker and CCAI Insights integration?
-Cloud Data Fusion can be used to integrate with the Looker block for CCAI Insights, allowing for the aggregation and analysis of data on a scheduled basis.
How can the Looker dashboards help in understanding the utility of CCAI Insights?
-Looker dashboards provide a visual representation of the data from CCAI Insights, helping users understand the utility by offering a more comprehensive view of the business through analytics.
What are the prerequisites for using the Looker dashboards for reviewing CCAI Insights?
-The prerequisites include understanding how to export data from CCAI Insights, setting up the Looker block, and potentially integrating with Cloud Data Fusion for data aggregation.

Outlines

00:00

📊 Utilizing Looker Dashboards for CCAI Insights

This paragraph introduces the use of pre-built Looker dashboards for analyzing conversation analytics. It outlines the process of understanding utility, exploring Looker, and integrating CCAI Insights Blocks. The integration with Looker Block allows for aggregation of data beyond Contact Center sources, providing a comprehensive business view. The paragraph emphasizes the need to follow export instructions for CCAI Insights data and the flexibility of integrating Insights data with other data sources for deeper business insights. It also mentions the availability of Looker Blocks for Google Contact Center Insights, including virtual agents, agent assist, and insights, along with embedded visualizations and pre-built data models for common analytical patterns.

🔍 Exploring Looker Blocks for Google Contact Center

This section delves into the specifics of Looker Blocks for Google Contact Center, highlighting their utility in enhancing the analysis of conversation analytics. It discusses the integration of CCAI Insights with the Looker Block, which enables the review and analysis of exported data from the CCAI Insights solution within Looker. The paragraph underscores the importance of setting up the job to run on a schedule with appropriate filters or integrating with Cloud Data Fusion. Additionally, it mentions the provision of embedded visualizations and pre-built data models by Looker for common analytical needs and data sources, specifically for Google Contact Center Insights.

Mindmap

Keywords

💡Looker

Looker is a data platform that provides businesses with tools for data exploration, analysis, and visualization. In the context of the video, Looker is used to review and analyze conversation analytics through pre-built dashboards and integration with CCAI Insights. It allows for a more holistic view of the business by aggregating data from various sources.

💡Dashboards

Dashboards in the video refer to the visual displays of data that Looker provides. They offer an at-a-glance view of key performance indicators (KPIs) and other data points, allowing users to quickly understand the status and trends of their business operations as it relates to conversation analytics.

💡CCAI Insights

CCAI Insights, or Contact Center AI Insights, is a solution that integrates with Looker to provide insights from contact center data. It is used to aggregate data outside of traditional contact center sources, offering a comprehensive analysis of customer interactions and business performance.

💡Looker Block

A Looker Block is a modular component within the Looker platform that encapsulates data and analysis logic. In the video, the Looker Block is used to integrate CCAI Insights data, allowing users to analyze exported data within the Looker environment and gain deeper business insights.

💡Data Model

The data model mentioned in the script refers to the structure and organization of data within the Looker platform. It provides the flexibility to integrate Insights data with other first-party data sources, enabling users to perform complex analyses and unlock deeper business insights.

💡Exporting Data

Exporting data, as discussed in the video, is the process of transferring data from one system to another. For Looker and CCAI Insights, users need to export data from the Insights solution to analyze it within Looker, following specific instructions and setting up jobs with appropriate filters.

💡Cloud Data Fusion

Cloud Data Fusion is a fully-managed data integration service that enables users to integrate and analyze data across cloud services. In the context of the video, it is suggested as a method for integrating and scheduling the export of CCAI Insights data to Looker.

💡Google Contact Center

Google Contact Center refers to the suite of Google's products and services designed to manage customer interactions in a contact center environment. The video mentions Looker Blocks specifically for Google Contact Center, indicating the integration of Looker with Google's tools for virtual agents, agent assist, and insights.

💡Embedded Visualizations

Embedded visualizations are interactive data visualizations that can be integrated into applications or platforms. Looker provides these for Google Contact Center, allowing for the incorporation of visual analytics directly within the user interface of the contact center tools.

💡Pre-built Data Models

Pre-built data models in Looker are pre-configured structures that facilitate the analysis of common data sources and analytical patterns. The video mentions that Looker provides these models for Google Contact Center, streamlining the process of setting up and performing analytics.

Highlights

Using pre-built Looker dashboards for reviewing conversation analytics is discussed.

Understanding the utility of Looker, dashboards, and CCAI Insights is emphasized.

Explore Looker's integration with CCAI Insights Blocks for more holistic business views.

CCAI Insights integrates with the Looker Block to aggregate data beyond Contact Center sources.

Reviewing exported data from CCAI Insights and analyzing it in Looker is possible with the Looker block.

The data model's flexibility allows integration of Insights data with other first-party data.

Instructions for exporting CCAI Insights data are prerequisites for utilizing the Looker block.

Setting up the job with appropriate filters or integrating with Cloud Data Fusion is necessary.

Looker Blocks for Google Contact Center Insights are available for various functionalities.

Looker provides embedded visualizations and pre-built data models for common analytical patterns.

Looker Blocks are available for Google Contact Center's Virtual Agents, Agent Assist, and Insights.

The integration of CCAI Insights with Looker allows for a more comprehensive understanding of business analytics.

The ability to export and analyze data in Looker enhances the utility of CCAI Insights.

The Looker block facilitates a deeper analysis by combining Insights data with additional data sources.

CCAI Insights data exportation is a key step for effective use of the Looker block.

Looker's data models offer a structured approach to integrating and analyzing Insights data.

The Looker block enhances the business intelligence capabilities of the Contact Center.

CCAI Insights and Looker's integration opens up new avenues for data-driven decision making.