SYNQ

Coalesce has acquired SYNQ and is launching Coalesce Quality to redefine how data teams achieve reliability and trust. "With SYNQ joining Coalesce, we’re closing the gap between building data and trusting it." — Armon Petrossian ֎, CEO of Coalesce. This commitment is realized through Coalesce Quality, our new offering that embeds data quality and observability directly into development workflows for real-time visibility, trust and control across the entire data lifecycle. Read the full press release: https://lnkd.in/dUVGVRyx

If you missed it, check out our 100+ guidelines for data quality - from testing to ownership and incident management best practices https://lnkd.in/dWSeJ43d

We had a great time connecting with the French data ecosystem at the second Data Forward conference. Thanks for hosting François Laurain, Hymaïa, Christophe Blefari, and team!

If you missed our data quality benchmark survey report from last week, check out this write-up https://lnkd.in/dM6_M-tc

Data quality consistently ranks at the top of the list when data practitioners are asked about their biggest challenges. Our Data Quality Benchmark survey includes insights from practitioners, analytics engineers, and data leaders across industries. What you’ll find inside: • Average costs of data incidents and response times • How teams approach testing and monitoring • AI adoption in data quality workflows • Areas of investment heading into 2026

The results of our 2025 Data Quality Benchmark survey are out! We asked hundreds of data professionals about their top data challenges. Some of the key findings: Insufficient knowledge of how to test well is the biggest data quality challenge AI/ML ranks as the most important use case for data, followed by internal BI reporting Nearly 20% of respondents report a single data incident cost over $10,000 The vast majority of participants rely on built-in tests from their data transformation tool Nearly 40% of teams plan to increase their data quality and observability investments next year Only 10% of respondents use AI often in their data quality workflows Download the full report here: https://lnkd.in/dp23nAWn

New from SYNQ last month 🚀 → Platform UI and performance improvements → 2026 data quality survey → New blog posts and customer stories https://lnkd.in/dDKfgkwW

We're running a data quality survey for data teams to understand how they're approaching it and what investment areas are planned for 2026. We'd love your input (fully anonymous)! Link: https://lnkd.in/diksudZ9

You can now manage your SYNQ monitors fully in code. Define, version control, and deploy monitors directly from your existing workflows, with the same flexibility you have in the SYNQ UI. Monitors created in code work together with those made in the UI, so teams can use both in the way that fits them best. https://lnkd.in/dJZyPNiM

A busy few weeks on the road! Meeting hundreds of dbt practitioners at dbt Labs annual Coalesce conference and sharing how customers use our MCP in their data quality workflows. We also went to Sweden for the Data 2030 Summit, hosting a roundtable discussion data challenges faced by Nordic enterprises.