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:

1. 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.
   
   

2. Expansion to Customer Success: Customer Success Managers utilized Querio to monitor client behaviors and engagement metrics, enabling proactive issue resolution and improved customer satisfaction.
   
   

3. 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.