Debugging

Debug quickly by diving into the details of each customer's behavior
Customer JourneyDatasetsShare SQL with Context
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
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Datasets

Quickly identify outliers and odd behavior using datasets
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Share SQL with Context

Share SQL queries alongside your debugging notes as you isolate the source of the issue
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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

Share the queries with your notes

Write exploratory SQL

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