August updates from SYNQ
Over the past few months, we launched Scout for automated root cause analysis and monitoring & testing advising. You can now use this in your own environments such as Cursor or Claude Desktop through our MCP. This gives you access to all kinds of data quality-related workflows. For example, get recommended tests for a key data pipeline, or bespoke data quality reports you can share with your team each week.
See some of the workflows in action in our post: Hands-on with an MCP for data quality
What's new in SYNQ this month
SYNQ MCP
You can now use SYNQ’s new Model Context Protocol (MCP) to bring real metadata into data quality-related workflows. Supercharge workflows with smarter impact analysis, faster root cause investigation, and weekly quality digests.
Read more in our launch post.
Monitors as code
You can now manage SYNQ monitors through YAML code, managed in your environment. Specify which tables should have what monitors, and codify custom monitors directly in SQL. You can mix monitors as code with monitors and deployment rules defined in the SYNQ UI to match workflows that work across your entire team.
Atlan integration
SYNQ now performs a full catalog synchronization with Atlan and allows you to select which domains, products and owners you wish to pull. Monitoring and alerts can be configured on SYNQ on data assets imported from Atlan providing reliability over products and ownerships defined in Atlan without duplicating the effort across the two platforms.
Customer stories
Building a Metric-First, High-Quality Data Culture at Voi – How Voi created a culture of trusted metrics with 90%+ end-user adoption and used SYNQ to deliver reliable data for decisions, experiments, and operations across one of Europe’s most complex micromobility platforms.
From the blog
New stories on our blog
- Dataqualityguides.com – Hundreds of actionable data quality guidelines
- Hands-on with an MCP for data quality – How SYNQ's MCP, combined with the right metadata and context, can supercharge data quality workflows
- Testing smarter, not harder (podcast) – Learn from dbt experts how to level up your testing to match the best data teams and what role AI can play in it
- We’ve also written a handful of articles for teams wanting to get started with data observability, from when is the right time to invest to the ROI of data observability and how to implement data observability
SYNQ Community–where to find us
Last month, we spoke at the London Data Engineering meetup, met with the Helsinki data community and joined Winfried on his podcast to discuss scaling data teams.
Find us here next:
- 🇬🇧 Big Data LDN, London, Sep 24-25. Come meet us at our booth.
- 🇺🇸 dbt Coalesce in Las Vegas, Oct 13 - 16. Come meet us at our booth.
- 🇸🇪 Data 2030 in Stockholm on Oct 21st. Join Nordic data leaders and attend SYNQ’s roundtable on building high-quality data.
- 🇫🇷 Forward Data Conference in Paris on Nov 24th. Come meet us at our booth.
Reach out if you want in!
Learn more
SYNQ is a data observability platform helping teams at companies such as IAG, Ebury, and Aiven build reliable data products.
Read more about how they’re using SYNQ, or sign up for a demo at synq.io/book-a-demo.
