Case Study
"It’s about making data accessible and actionable for every team member"
Querio
Jan 23, 2025
TL;DR;
Growdash replaced Looker with Querio’s AI-native analytics, saving $200K and cutting time to insights from two weeks to 30 minutes. Teams gained autonomy, and optimized discounts saved clients $40K annually.
200K+
Saved annually by replacing Looker and deferring data hires
2w → 30m
Reduced time to insights from two weeks to 30 minutes
$40K
saved on average for each client per year
About Growdash
Growdash is a Dubai-based B2B SaaS company that provides analytics and business intelligence solutions to help restaurants build, execute, and optimize their growth strategies across online sales channels.
Size | Industry | Data stack |
|---|---|---|
Startup/Scale-up | B2B SaaS for restaurant analytics | Google Cloud, Looker (replaced by Querio) |
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.
Results
"Querio's impact on our operational efficiency has been profound. We saved over $200K annually and drastically reduced our reliance on data analysts."
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.
Client Success: Utilizing Querio's analytical capabilities, Growdash optimized discount strategies for clients, resulting in average savings of $40K per client annually.
"Using Querio to optimize discount strategies has saved our clients an average of $40K annually. It's a testament to the transformative power of AI—driven analytics."
