Growdash, a scaling B2B SaaS, drives restaurant growth strategies across online sales channels. As a data—centric business, they heavily needed to extract insights from their vast pools of sales, marketing, operations, and customer data. Their go—to BI tool, Looker, bundled with Google Cloud, was powerful but daunting for non—technical team members. Only Enver, the CTO, was able to use Looker and everyone was left to consume what he created. The constant demand for dashboards and reports started bottlenecking operations, leading Growdash to consider hiring a data engineer and data analysts. The potential $200K annual cost and the inevitability of an analytics bottleneck were pressing concerns.
Querio, an AI—powered analytics platform, transformed Growdash's data operations. Implementation was smooth and phased, starting with the product team and extending to customer success. Querio's natural language interface meant non—technical team members could query the data effortlessly. The CTO got his time back, and was able to delay hiring new data analysts.
The product team was the first to adopt Querio. Instead of waiting weeks for reports, they could now dive into the data themselves. By simply asking questions, they retrieved actionable insights in minutes.
"Querio's natural language interface was a game—changer. Our product team could explore data independently, leading to quicker and more informed decisions." — Enver, Co—founder and CTO at Growdash
Customer Success Managers began using Querio to understand client behaviors, track engagement metrics, and proactively address issues. This newfound autonomy empowered them to improve customer satisfaction and retention rates significantly. The increased efficiency meant the data team could focus on more strategic, high—value initiatives rather than ad—hoc report generation.
One of Growdash's significant pain points was data cleanliness. Querio's advanced semantic layer and data catalogue streamlined the process, ensuring that all data fed into the system was accurate and reliable. Our team worked closely with Growdash to document data, eliminating discrepancies and ensuring a robust foundation for analysis.
By integrating Querio, Growdash delayed two data hires, and led them to cancelling their contract with Looker, saving them over $200K annually. The time to insight shrank from two weeks to a mere 30 minutes, allowing teams to react to trends and make decisions with unprecedented speed.
"Querio's impact on our operational efficiency has been profound. We saved over $200K annually and drastically reduced our reliance on data analysts." — Enver, Co—founder and CTO at Growdash
Querio enabled self—service analytics across the organization. Product, customer success, operations, and leadership teams could all access and analyze data without technical assistance. This democratization of data led to a significant increase in data literacy and empowerment across the board.
One standout success story was Growdash's use of Querio to calculate optimal discount percentages. Leveraging our platform's Python and analytical capabilities, Growdash identified the perfect discount levels for their clients, saving each client an average of $40K per year. This not only demonstrated the power of Querio but also solidified Growdash's reputation as a data—driven leader in their industry.
"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." — Enver, Co—founder and CTO at Growdash
Querio revolutionized Growdash's approach to data analytics, making them more agile, efficient, and data—driven. If you want to empower your business users, eliminate analytics bottlenecks, and maximize your technical resources, it's time to consider AI—native analytics. See why data leaders are upgrading from traditional BI to Querio. Request a demo today and join the revolution.
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