Filter conversations to export
Summary
TLDRThis video script covers exporting insights data to BigQuery for advanced analysis and visualization. It outlines the process in four parts: filtering exports, exporting conversations, reviewing the BigQuery schema, and a demo of the export process. Filters in the conversation hub view are highlighted for selecting specific conversations before exporting.
Takeaways
- 📈 The section is about exporting insights data to BigQuery for custom analysis and visualization.
- 🔍 The process is divided into four parts: filtering exports, exporting conversations, reviewing the BQ schema, and a demo of the export process.
- 📚 CCAI Insights facilitates the export of conversations, analysis results, and topic modeling results to BigQuery.
- 🛠️ Users can apply filters in the conversation hub view to select specific conversations for export.
- 🗂️ A list of supported filters is available in the user interface within the conversation hub.
- 📚 Filters help in narrowing down the data to be exported, ensuring only relevant conversations are included.
- 🔎 More details on the filters can be found in the CCAI Insights documentation.
- 📈 BigQuery is the destination for exporting data, allowing for in-depth analysis of the exported insights.
- 💡 The export process is designed to enhance the user's ability to perform custom analysis on the exported data.
- 📹 A demonstration of the export process will be provided, showing how to effectively use the filters and export data to BigQuery.
Q & A
What is the main purpose of exporting insights data to BigQuery?
-The main purpose is to enable custom in-depth analysis and visualization on Insights data.
How is the section on exporting insights data to BigQuery structured?
-The section is structured into three parts: filtering exports, exporting conversations to BigQuery, reviewing the exported BQ Schema, and a demo of the export process.
What does CCAI Insights allow users to export directly to BigQuery?
-CCAI Insights allows users to export conversations, analysis results, and topic modeling results directly to BigQuery for further analysis.
What is the significance of filtering the set of conversations before exporting to BigQuery?
-Filtering is significant as it allows users to export only the required conversations, making the analysis more focused and relevant.
What filters can be used in the conversation hub view to filter conversations for export?
-The filters supported in the UI inside the conversation hub can be used, but the specific filters are not listed in the script and should be referred to in the CCAI Insights documentation.
How can users find more information about the filters available for exporting?
-For more information on the filters, users should refer to the CCAI Insights documentation.
What is the final part of the section on exporting insights data to BigQuery?
-The final part is an opportunity to see a demo of the export process.
What is the role of BigQuery in the context of the script?
-BigQuery serves as a destination for exporting data where users can perform custom in-depth analysis and visualization.
What kind of results can be exported to BigQuery from CCAI Insights?
-Conversations, analysis results, and topic modeling results can be exported to BigQuery.
Why is it beneficial to export data to BigQuery for further analysis?
-Exporting data to BigQuery allows for more extensive and customizable analysis, leveraging BigQuery's powerful data processing capabilities.
Outlines
📊 Exporting Insights Data to BigQuery
This paragraph introduces the process of exporting insights data to BigQuery, a service that facilitates advanced analysis and visualization. It outlines a four-step process: filtering exports, exporting conversations, reviewing the BigQuery schema, and a demo of the export process. The focus is on how to filter the conversations to be exported, utilizing the filters available in the conversation hub view. The paragraph emphasizes the capability of CCAI Insights to export conversations, analysis results, and topic modeling results directly to BigQuery for further in-depth analysis. It also mentions the availability of UI filters in the conversation hub and suggests referring to the CCAI Insights documentation for more information on these filters.
Mindmap
Keywords
💡Exporting
💡BigQuery
💡Insights data
💡Custom analysis
💡Visualization
💡Filters
💡Conversation hub view
💡CCAI Insights
💡Analysis results
💡Topic modeling
💡Demo
Highlights
Exporting insights data to BigQuery enables custom in-depth analysis and visualization.
The export process is divided into three parts: filtering exports, exporting conversations to BigQuery, and reviewing the exported BigQuery schema.
Users will have the opportunity to see a demo of the export process.
Filtering the set of conversations to export to BigQuery is an important step.
CCAI Insights allows users to export conversation analysis results and topic modeling results directly to BigQuery for further analysis.
Filters provided in the conversation hub view can be used to filter only the required conversations before exporting them to BigQuery.
The list of filters supported on the UI inside the conversation hub can be found in the CCAI Insights documentation.
Insight data exported to BigQuery enables custom visualization on insights data.
Reviewing the exported BigQuery schema is a crucial part of the process.
Exporting conversations to BigQuery is an integral step for further analysis.
Filtering conversations before exporting ensures only relevant data is exported.
The demo will showcase the entire export process from filtering to reviewing the schema.
Using BigQuery for custom in-depth analysis and visualization is a key feature of CCAI Insights.
CCAI Insights documentation provides detailed information on the supported filters.
The process of exporting insights data to BigQuery is streamlined for ease of use.
Transcripts
This section discusses exporting the insights data to BigQuery.
This enables custom in-depth analysis and visualization on Insights data.
This section is broken into three parts: 1) How to filter exports,
2) Exporting conversations to BQ, 3) Reviewing the exported BQ Schema.
4) And lastly you’ll have the opportunity to see a demo of this export process.
In this section, we’ll discuss filtering the set of conversations to export to BQ.
CCAI Insights allows users to export conversation,
analysis results, and topic modeling results directly to BigQuery for further analysis.
We can use the filters provided in conversation hub view to filter only required conversations
before exporting them into BigQuery.
Here are the list of filters supported on UI inside conversation hub.
For more information on these filters, refer to the CCAI Insights documentation.
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