Dashboards & Reporting

Build a Data Pipeline for BI
BI and Reporting PipelineLive Analyses
Use Cases

For Dashboards & Reporting Projects

BI and Reporting Pipeline

Speed up reporting dashboards and ensure data integrity by using Narrator's materialized views for your reporting pipeline
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Live Analyses

Use Narratives to build analyses that drive action and monitor the impact of those recommendations over time
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BI and Reporting Pipeline

Speed up reporting dashboards and ensure data integrity by using Narrator's materialized views for your reporting pipeline

Keeping BI tools clean, fast and accurate can be a challenge. When you use Narrator to create reporting tables, you guarantee that all of your key metrics will match, your BI tool will be lighting fast, and all data will be easy traceable to the source. Building dashboards is a breeze when you build your datasets in Narrator.

Learn more about how Narrator creates materialized views.

Benefits

  • All reporting uses a single source of truth
  • BI platforms are fast because JOINS are not in the BI tool
  • Trace metrics to their source in two clicks (open the dataset and see the activities)
  • Complex logic is kept in managed by you in your data system, not in your BI tool
  • All data model updates are done in one place
  • Switch between BI tools with ease, no more arduous migrations

Applications

Sales Fact Table

Assemble your sales data in Narrator and materialize it before putting it into Looker. This ensures that Looker only has to SELECT *, you always control the JOIN logic , and can easily trace the source of any reporting data.

Narrator Dataset

Materialized View

BI Platform

Live Analyses

Use Narratives to build analyses that drive action and monitor the impact of those recommendations over time

Stop hacking together PowerPoint slides with screenshots from a notebook or dashboards. Use Narratives to share your data insights alongside the context that your team needs to make a decision. With Narratives you can create a live analysis that tells a story and updates as new data comes in.

Benefits

  • Clear goal and takeaways guide business action
  • Snapshot your analysis in time so you can always reference historical numbers
  • Build context into each analysis so your teams don't have to guess what each plot means
  • Technical reviews are easy because you can always click into the source dataset

Applications

Monitor the impact of an ML model

Track and monitor the impact of your ML models.

Knowledge Sharing

Keep all analyses ever built in one place, that has context, logic and all the data available.

Track the Impact of each Decision

With each analysis, you can log when you took action and monitor if the action led to the exact results that you expected.

Narrator Dataset

Create a Narrative

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