It’s a question of paramount importance for every business. But it’s still a hypothetical question for many. Synq wants to change this.
In the past few years, data has become more important to more companies than ever before. But the way data infrastructure is built, and the tools with which data reliability is managed, have lagged behind. The result is a reliability gap at the heart of organizations with business-critical data.
Compared with their counterparts in software engineering, data teams are not trusted to deliver reliable data systems. In short, they are treated like second-class citizens in their companies.
This is bad news for data practitioners but it’s also terrible for the business as a whole, because it’s limiting the positive impact data can make.
And it’s only going to get worse. The AI wave is exponentially scaling the “garbage in, garbage out” model and all its implications – right at the time when every company is under pressure to find new ways to activate data for competitive advantage.
Data teams can either step up and earn the trust they need to drive real impact, or let the gap widen and see that impact go unfulfilled.
Synq is the data reliability platform for teams that own business-critical data. Our founders have spent the last 15 years building and scaling some of the fastest-growing businesses in Europe (Pleo, Monzo, GoCardless).
This experience, running both data teams and software teams at the highest level, helped us shape Synq’s mission of empowering data teams to earn the trust they deserve, by equipping them with the tools they need to prove their undeniable value.
Our platform delivers precise anomaly detection, a robust ownership model, incident management, issue resolution, and more – for teams that power business-critical use cases. But it’s the way we approach these problems that sets us apart.
We’re building Synq on hard mode so you can manage your business-critical data more easily. From column-code lineage, to prioritized incident management, to automated alerts that link between incidents and critical data products – we build experiences rooted in practitioners’ workflows that weren’t possible before.
We have a deep appreciation for the demands placed on data quality. An engineer’s mindset (and toolset) is required – and Synq helps you use both. We bring engineering rigour to our platform, and we remove what doesn’t need to be there.
It’s about more than minimizing downtime. We know that the best data quality outcomes are delivered when you build reliability throughout development, deployment and production, in order to prevent issues that other vendors only tackle later, once they’ve become an observable problem for businesses.
We’re building Synq for a future in which data doesn’t revolve around data warehouses and tables. In the same way engineering systems evolved from files to containers and services, we’re building Synq for emerging higher-level concepts such as data models, products, model groups, and metrics.
Synq empowers data practitioners to spend their time delivering data and analysis to the business. We optimize for users to spend the least amount of time in our app while still getting what they came to find.
We build simple interfaces that remove what doesn’t have to be there. Instead of overloading users with all the data, we build tools to give them the most critical insights for the workflow. We optimize for practitioners first before building tools for their managers.
We approach every client engagement by looking at business problems, not just tool problems, so we offer a more consultative service, helping our clients to understand what’s really business-critical, how well it’s working, and how to ensure that any critical impact is prioritised.
As a result Synq helps data teams earn the trust they deserve, so that they can drive more value with business-critical data. So, we’ll ask that question again.
What would you build if you had total control in your data?
