Avo

Ensure data quality upstream with immediate visibility, collaborative schema management, and fast implementation to build better user experiences.
Data Quality Management Data Observability Analytics Integration

Avo also helps data and product teams ensure event data quality upstream so they can build better user experiences. With data observability tools, collaborative schema management and fast and accurate implementation, Avo seeks to make it easier to find, fix and prevent data quality problems.

Avo's tools include:

  • Data Observability & Monitoring: Immediate visibility into tracking, customizable alerts and one-click plan changes so problems are caught and fixed fast.
  • Collaborative Schema Management: GitHub-like governance for schema changes, with real-time feedback, audits and peer reviews.
  • Fast & Accurate Implementation: Automatically generated instructions and type-safe code snippets to avoid mistakes and ensure analytics tracking is deployed correctly.

Avo also integrates with analytics tools like Amplitude, Freshpaint, Google Analytics, Heap, Mixpanel, Pendo, PostHog, RudderStack, Segment and Snowplow so you can track and monitor data easily.

With Avo Inspector, you can quickly identify and resolve data quality problems with a clear explanation of what's wrong and a systematic approach to fix it. The service also lets you collaborate with branched workflows and peer reviews so data design is transparent and up to date. For implementation, Avo provides foolproof instructions and code snippets to ensure you track correctly.

Avo offers pricing tiers for teams of different sizes and needs, including a free tier for startups and enterprise plans with strong security and dedicated support. The free tier offers 2 editors, unlimited comment seats, 100k events observed in Inspector and Codegen for editors. The Team plan starts at $250 per month (billed annually) and includes 5 editors, but larger organizations can pay for Enterprise plans with the features they need.

With Avo, teams can move faster on data quality, so they can have more confidence in their insights and lower their development costs.

Published on June 13, 2024

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