Querio

What is Querio?

Querio is a data analytics tool designed for non-tech users to simplify the process of querying data without requiring SQL, Python, or Excel expertise. Users can seamlessly connect various data sources such as HubSpot and app DB, and then easily request the information they need. It aims to streamline data analysis tasks, allowing users to focus on in-depth analysis and innovation rather than query scripting. Querio has received positive feedback for its user-friendly interface, ability to handle complex queries, and generate accurate and easy-to-understand results efficiently.

Who created Querio?

Querio was created by Aurelio Lopez Malo. He is a Sr. Product Data Analyst at Glovo. Querio offers analytics that are user-friendly and designed for non-tech users, allowing for easy data analysis without requiring SQL, Python, or Excel expertise. The tool simplifies querying and data analysis processes, enabling deep discovery analyses without the need for complex scripting. Aurelio's vision for Querio is to streamline data tasks and promote innovation among analysts.

What is Querio used for?

• Data analysis for non-techies
• Connect and query data from various sources (e.g., HubSpot, app DB)
• Generate reports without needing SQL, Python, or Excel skills
• Perform tasks like analyzing sales by country and month
• Compute complex queries like comparing customer order values
• Facilitate deep discovery analyses
• Organize and view data in productive ways
• Produce results easily and on demand
• Simplify data game for users
• Empower users through easy and conversational data extraction

Who is Querio for?

• Product Data Analyst
• President

How to use Querio?

To use Querio, follow these steps:

1. Connect Data Sources: Querio allows you to connect various sources like HubSpot, databases, and more.

2. Query Data: You can easily request the data you need by simply asking for it. No need for SQL, Python, or Excel expertise.

3. Query Tasks: Querio can handle a range of tasks from simple queries like "sales by country and month" to complex tasks like comparing customer order values.

4. Data Visualization: Querio helps organize and view data effectively, generating graphs and dashboards without much effort.

5. User-Friendly Interface: Querio is designed for non-techies, making data analytics accessible to all users.

6. Efficiency & Time-Saving: Users can expect quick, tangible, and effective results, reducing the time spent on data extraction and analysis.

By following these steps, you can easily leverage Querio to streamline your data analysis tasks and drive insights for your projects.