Provides an end-to-end data platform that uses a proprietary Activity Schema™ to consolidate data into a single table, enabling data analysts to answer 80% of ad-hoc queries without requiring changes from data engineering. This approach reduces data model maintenance by 80%, cuts warehouse costs by up to 70%, and streamlines workflows by integrating frontend, backend, and third-party data for comprehensive analysis.
Funding
$13.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
ICPVFounders
Product
Problem
Data analysts often struggle to answer ad-hoc queries due to fragmented data models, requiring constant intervention from data engineers. This dependence on data engineering creates bottlenecks, slows down analysis, and increases data warehouse costs due to complex materialized views.
Solution
Narrator is an end-to-end data platform built on a proprietary Activity Schema™ that consolidates data into a single, incrementally updated table within the user's data warehouse. This approach allows data analysts to self-serve the majority of their queries without requiring data engineering support. By using the Activity Schema™, Narrator reduces the need for complex data model maintenance, lowers data warehouse costs by replacing materialized views, and streamlines workflows by integrating frontend, backend, and third-party data. The platform provides tools for data exploration, analysis, dashboard creation, and customer journey mapping, all within a self-serve environment.
Target Audience
Narrator targets data analysts, data engineers, and heads of data in D2C e-commerce companies who need to accelerate data analysis, reduce data warehouse costs, and improve data accessibility.
Features
- Activity Schema™: A single, incrementally updated table that consolidates data from various sources.
- Dataset Tool: Enables data analysts to query the Activity Schema™ directly using SQL or a visual interface.
- Automated Data Modeling: Reduces the need for manual data model maintenance by up to 80%.
- Pre-built Analysis Templates: Accelerate common analytical tasks with ready-to-use templates.
- Customer Journey Mapping: Visualize and analyze customer behavior across different touchpoints.
- Data Transformation Tools: Facilitate data cleaning and preparation within the platform.
- Dashboarding Capabilities: Create interactive dashboards to monitor key metrics and share insights.
- Reverse ETL: Write data back to operational systems.