Debugging
Debug quickly by diving into the details of each customer's behavior
Use Cases
For Debugging Projects
Customer Journey
Quickly debug data tracking issues by inspecting each customer's actions across all of your data sources in a timeline view
Datasets
Quickly identify outliers and odd behavior using datasets
Share SQL with Context
Share SQL queries alongside your debugging notes as you isolate the source of the issue
Customer Journey
Quickly debug data tracking issues by inspecting each customer's actions across all of your data sources in a timeline view
Dive deeper into specific customer's journeys using the timeline view of activities in Narrator. It becomes simple to spot odd behavior and trace it back to the source of the issue. Is it just odd behavior or is there any issue with our transformation logic? Narrator makes it easy to trace down to the source of the issue and update logic quickly when needed.
Benefits
- SQL transformations are small, simple queries, making debugging a breeze
- No web of dependencies so issues are easy to trace
- Granular views of customer behavior
Applications
Quick Investigation
When a stakeholder has a question about a weird number, you can quickly dive into the specific actions of the customers and explain how the data was generated
See specific customer actions
Something seems off
Datasets
Quickly identify outliers and odd behavior using datasets
Datasets are fast to build so exploration can be done in a matter or minutes, making it easy to quickly determine how commonly an issue is occurring and trace it back to the source.
Benefits
- Scope the magnitude of the issue quickly by building a dataset
- Dive into specific customer records
- Gain trust with stakeholders because you can get to the bottom of things quickly
Applications
Identity resolution gaps
Quickly isolate and understand where your gaps in identity resolution are so that your engineers can fix them
Build a dataset to dive deeper
Notice something off
Share SQL with Context
Share SQL queries alongside your debugging notes as you isolate the source of the issue
The markdown-flavored SQL editor makes it easy to record your notes during the debugging process and then share the context and learnings with your team.
Benefits
- Less back and forth because context is preserved
- Run SQL inline
- Never lose your train of thought, all notes are captured
Applications
Data Engineering Collaboration
Share SQL queries with your data engineering team so they can quickly reproduce the issues you are seeing and focus on resolve them
