Mercury Data

Headquarters

Mexico City, Mexico

Industry

Customer-focused services

Company size

1–20

Founded

2024

Teams using Querio

Business leadership, Operations, Customer Success, Analytics

Deployment

Querio app

Querio customer since

September 2024

How Mercury Data turned two-week reporting cycles into 30-minute self-serve answers

20x faster reporting

Monthly reporting collapsed from two weeks to 30 minutes

95% accuracy

On data-driven insights once the semantic layer was in place

100% self-service

Business users now answer their own questions without pulling analysts or engineers

How Mercury Data turned two-week reporting cycles into 30-minute self-serve answers

20x faster reporting

Monthly reporting collapsed from two weeks to 30 minutes

95% accuracy

On data-driven insights once the semantic layer was in place

100% self-service

Business users now answer their own questions without pulling analysts or engineers

00--ABOUT

Mercury Data is an information- and records-management company serving customer-focused service businesses. They help operational teams capture, organize, and act on the data produced by physical operations.

01--PROBLEM

Mercury Data’s operational data was doing its job — it just wasn’t doing anyone else’s. The underlying schemas were shaped for software operations, not analytical questions, which meant every business question required translation. Reporting moved through a chain of stakeholders, each adding days, and by the time a number reached a decision-maker it was often stale. The business team couldn’t explore; they could only wait.

“We were treating every monthly report like a small project. Two weeks of coordination for a number we should have had in the morning.”

Jennifer Leidich, Co-Founder & CEO

02--SOLUTION

Querio rolled out a multi-phase transformation designed to fix the problem at the layer where it actually lived — between the raw data and the language the business uses. The team first sat down with Mercury’s operators to map the vocabulary of the business and the questions that mattered, then worked with engineering to audit the existing storage footprint. From there, Querio designed a new analytics architecture: an ETL pipeline that reshaped raw operational data into query-optimized tables, a BigQuery warehouse to host it, and a custom semantic layer and data catalog that map business terms directly to the underlying fields. Non-technical users can now navigate the warehouse in the language they already speak.

“The semantic layer was the unlock. Our people stopped asking ‘where is this data?’ and started asking ‘what does it mean?’”

Jennifer Leidich, Co-Founder & CEO

03--RESULT

What used to be a two-week choreography across analysts, engineers, and operators now takes about 30 minutes — a 20x reduction in cycle time. Data-driven insights land at roughly 95% accuracy because the semantic layer enforces the business’s own definitions, and every business user who needs a number can now get it themselves. Mercury has been one of Querio’s most engaged dashboard users and serves as a customer reference for other prospects evaluating the platform.

“Querio has revolutionized how we handle data. What used to be a weeks-long process now takes minutes, and our teams feel empowered to make data-driven decisions on their own. The impact on our efficiency and accuracy is unparalleled.”

Jennifer Leidich, Co-Founder & CEO

Let your team and customers work with data directly

Let your team and customers work with data directly