Growdash

Apr 10, 2025

Size

50-100

Industry

B2B SaaS for restaurant analytics

Data stack

It’s about making data accessible and actionable for every team member

Key achivements

Cost Savings: By replacing Looker and postponing the hiring of additional data personnel, Growdash saved over $200K annually.

Efficiency: Time to derive insights was reduced from two weeks to just 30 minutes, enhancing responsiveness to market trends.

Empowerment: Teams across the organization gained the ability to perform self-service analytics, fostering a data-driven culture.

Problem

Growdash relied on Looker, bundled with Google Cloud, as their primary BI tool. However, its complexity made it accessible only to the CTO, Enver, creating a bottleneck as all data requests funneled through him. The company faced mounting pressure to hire additional data engineers and analysts, which would have added approximately $200K annually to their expenses. The existing setup hindered timely decision-making and scalability.

Solution

"Querio's natural language interface was a game—changer. Our product team could explore data independently, leading to quicker and more informed decisions".

Querio introduced an AI-native analytics platform that transformed Growdash's data operations through a phased implementation:

Product Team Adoption: The product team began using Querio's natural language interface, allowing them to independently query data and obtain insights within minutes, eliminating weeks-long wait times for reports.
Expansion to Customer Success: Customer Success Managers utilized Querio to monitor client behaviors and engagement metrics, enabling proactive issue resolution and improved customer satisfaction.
Data Cleaning and Optimization: Querio's advanced semantic layer and data catalog facilitated comprehensive data documentation and cleaning, ensuring accuracy and reliability across all datasets.