evaluation1
deefer
ALMADApowerpoint.pptxRecorded Session Available
This training module includes a recorded version of the live session.
You can view it anytime using the following link:
https://youtu.be/orrRxE3zjHM
Activity Evaluation: https://forms.gle/XPRPS47ewzmbgEbJ7
Training Evaluation: https://forms.gle/q2Ln66LUiHyGokyf7
Data Fluency for Decision Makers: Practical SQL for Strategic Impact at Kueski
Almada, Eduardo
OGL554
Marie Wallace, Ph.D
June 2025
Mision
Why Kueski Exists
Mission: Improve the financial well-being of the Mexican population through digital-first financial services.
Vision: Become the leading BNPL provider in Mexico by combining innovation, data, and customer experience.
"Kueski's future depends on our ability to make better, faster, data-driven decisions."
Rationale
Organizational Challenge
Kueski aims to become a data-driven fintech leader, but many decisions still rely on intuition or competitor imitation.
Despite advanced tools like Databricks and Atlan, non-technical teams lack the skills to generate insights independently.
Current Bottlenecks
Analytics Engineering team is overburdened with ad hoc requests.
Teams like Marketing and Sales lack formal analyst support.
This limits agility and slows evidence-based decision-making.
Strategic Opportunity
Employees are highly motivated to learn SQL
Training empowers decision-makers to:
Access data directly
Ask better questions
Accelerate feedback loops and innovation
Module Objectives
Kueski Data
Kueski Data
Why This Matters
For You and for Kueski
Gain in-demand SQL skills that boost your autonomy and career growth
Be able to self-serve insights without waiting for data support
Make faster, evidence-based decisions that stand out
Speak the same “data language” as analytics teams
Grow professionally without having to code like an engineer
“You already have the questions. This training gives you the power to find the answers.”
For You and for Kueski
Become a truly data-driven organization
Increase speed and quality of decisions
Empower teams to reduce reliance on the Analytics Engineering team
Use tools like Databricks and Atlan to their full potential
Activity #1
Write a SQL Query to Solve a Real Problem
Description
For this activity, we will divide the conference room into two groups. Based on the side you're on, write and run the query assigned to your group using the Databricks query editor.
Left
Calculate the GMV generated by merchant_1 during the last month using the fact_merchant_data table from the kueski_class schema within the workshop catalog
Right
Count the number of users who were rejected due to fraud yesterday, using the fact_applications_data table from the kueski_class schema in the workshop catalog.
Assessment
https://forms.gle/XPRPS47ewzmbgEbJ7
Activity #2
Peer Review and Redesign a Query
Description
Next, we will save our queries and share them with one of the trainers for peer review.
Try to choose someone from the opposite group. As part of the review, you will:
Identify one strength and one area for improvement in their query
Rewrite the query using a different logical approach or structure
Discuss any trade-offs related to output accuracy, readability, or performance
Assessment
https://forms.gle/XPRPS47ewzmbgEbJ7
Activity #3
Build and Share a Dashboard
Description
At this point, everyone should have two different queries saved in their workspace. Your next steps are:
Ensure that both queries are properly saved.
Use them to build a Databricks dashboard
Share the dashboard with your manager
Provide a brief description of the KPIs displayed
Assessment
https://forms.gle/XPRPS47ewzmbgEbJ7
Closing the Loop: Why These Objectives Matter
Organizational Needs & Goals
Objective 1 & 2 (SQL navigation + catalog logic) empower staff to independently access and explore Kueski’s data assets, reducing reliance on overextended analytics teams.
Objective 3 (query construction with HAVING) directly supports faster, evidence-based decisions, in line with Kueski’s goal to become a data-driven fintech leader.
Course Objective Alignment
These objectives scaffold toward the course’s core purpose:
"To equip non-technical business users at Kueski with foundational SQL skills for insight generation and strategic impact."
Benefit to the Participant
Grow confidence and technical fluency with real data tools like Databricks
Learn to solve actual business problems — not theoretical exercises
Gain autonomy to act on insights, boost decision-making speed, and stand out in cross-functional collaborations
Evaluation Form
https://forms.gle/q2Ln66LUiHyGokyf7
https://forms.gle/q2Ln66LUiHyGokyf7
https://forms.gle/q2Ln66LUiHyGokyf7
https://forms.gle/q2Ln66LUiHyGokyf7
Any Questions?
References
Kueski. (2025). Desplegando el potencial en Kueski. https://www.kueski.com/blog/desplegando-el-potencial-en-kueski
Kueski. (2025). Explorando el futuro de la IA en Kueski: impulsando la innovación y la eficiencia. https://www.kueski.com/blog/explorando-el-futuro-de-la-ia-en-kueskiimpulsando-la-innovacion-y-la-eficiencia
Noe, R. A. (2018). Employee Training and Development. McGraw-Hill Education.
Databricks. (2024). Databricks SQL concepts. Databricks. https://docs.databricks.com/aws/en/sql/get-started/concepts
Databricks. (n.d.). Write queries and explore data in the SQL editor. Databricks. https://docs.databricks.com/aws/en/sql/user/sql-editor/
OpenAI. (2025). DALL·E [AI image generator]. https://openai.com/dall-e
