Peter Mills, COO
At my previous company, Modern, there was a point when we started to grow rapidly. This included generating a ton of data on our customer’s behalf. With that, our customers wanted more extensive reporting to understand the value we were providing.
Initially, we assigned this task to our engineering team, creating a custom app to track these metrics from customer to customer.
This necessitated another code repo with its own DevOps, QA, and other maintenance requirements. We outgrew this as soon as the customer requests eclipsed the engineering resources. We had to maintain and update their analytics continually. Every customer seemed to have their own requirement.
Development resources were already stretched thin building new feature requests and fixing bugs in our flagship products. The engineering team had very little bandwidth for writing newly requested reports. The bottleneck also strained our customer success team, trying to ensure the development of customer requests, especially when their accounts were coming up for renewal.
We briefly explored using dashboarding tools like PowerBI. Still, those were expensive, and we had many of the same issues regarding flexibility and updating to meet inbound user requests.
With Quadratic, self-serve analytics becomes a reality. The teams looking for data can self-serve access to the analytics they need from a multitude of sources (APIs, SQL databases, CSV, Excel, etc.). Engineering hours are freed up since a few basic scripts with Python or JavaScript can get the user to the finish line. All the DevOps and code maintenance are significantly reduced.
Users build and share their data insights with their team without the issues I faced at my previous company. Additionally, Quadratic's built-in AI can empower any user to build SQL queries, explore programming languages, and speed up how they work with data.
With built-in Python, SQL, JavaScript, and AI, Quadratic solves the issues we had with self-serve analytics at my previous company. I'm thrilled to have the opportunity to work with users who have experienced the same issues.
Check out the Quadratic examples page for several ideas on building ad hoc analytics.
