Build collective responsibility for data quality
Maintaining data quality is a whole lot easier when responsibility for critical data is clearly mapped to relevant stakeholders. When you give them the visibility and tools to rapidly respond to issues too, data reliability can be taken to the next level. Synq can help with all this.
Align teams around a strong data-ownership model
Responsibility for data quality should be shared both within and beyond your data team. Synq lets you align ownership across engineering, BI analysts, analytics engineers, and business stakeholders. An intelligent alerting system ensures the right people know when to act.
“As a data team you sit so far downstream. Each time someone in the operations team makes an error in a spreadsheet we have to deal with it.“ — How Instabee achieved 5-minute operational issue resolution times?
Create an ownership structure in minutes
There’s no more need to go through a soul-destroying tagging process to express ownership of items. Synq can define rules to instantly create an ownership structure in a variety of ways:
Reduce the burden for data engineers on call
Automatically route relevant alerts about data issues to the right owners, so on-call engineers don’t have to intervene. Say goodbye to tedious on-call Slack triages to find out who was the last modifier for each failed model. Synq also helps you:
Get to the bottom of issues without leaving Slack
Relevant, targeted and actionable alerts help team members quickly understand what happened and what to do next.
Ownership at data-forward companies
“As a regulated bank, our KPIs must be accurate, reliable, and updated on time. Synq solves our observability needs—and the anomaly monitors are an essential complement to our dbt tests to complete our data governance strategy.”
“With Synq, we can manage ownership and importance on top of our data quality controls in dbt. This ensures that important issues get acted on fast and frees up time for the data team that would otherwise have been spent triaging and debugging issues.”
A fully integrated data reliability platform
Our integrations make it easy to work with all the platforms and applications you want to use. We’re proud to be a fully integrated platform for data quality.