How Dagster Compass Powers Brooklyn Data’s Self-Service Analytics

· Source: Dagster Blog · Field: Technology & Digital — Data Science & Analytics, Artificial Intelligence & Machine Learning · Depth: Intermediate, medium

Summary

Dagster Compass, a text-to-analytics (T2A) solution, enables self-service data access directly within Slack, addressing usability, governance, and trust challenges. Brooklyn Data (BDC) evaluated and deployed Compass on top of Snowflake, integrating it with their dbt project to transform professional services automation (PSA) and CRM data. Key features include its native Slack app interface, robust governance via private channels and Git-managed context, and strong performance with user-driven context corrections. BDC utilized Compass to expose modeled PSA data to their delivery excellence organization, reducing query times from 5-10 minutes to 1-2 minutes for operational questions, improving searchability, and enhancing decision-making for project management and resource allocation. The firm plans to expand its use to marketing data.

Key takeaway

For Directors of AI/ML or Data Engineers evaluating self-service analytics tools, consider Dagster Compass to integrate natural language querying directly into Slack. This approach can significantly boost operational efficiency by reducing data access barriers and query times, as demonstrated by Brooklyn Data's 5-10 minute to 1-2 minute improvement. Prioritize validating T2A responses against known outputs and establish robust governance through channel permissions and Git-managed context to ensure accuracy and trust.

Key insights

Text-to-analytics adoption hinges on seamless integration, strong governance, and user-driven context improvement.

Principles

Method

Deploy T2A on a well-modeled data layer, configure specific table access, and manage context via Git pull requests.

In practice

Topics

Code references

Best for: Data Engineer, Analytics Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by Dagster Blog.