AtliQ Hardwares is a top (hypothetical) computer hardware company based in India with a growing global presence. The company offers a wide range of hardware products and focuses on using data-driven decision-making to stay competitive.
AtliQ was facing challenges in making quick, data-backed decisions due to their heavy reliance on Excel-based reporting. To overcome this, they aimed to strengthen their analytics team by hiring junior data analysts with strong technical and communication skills.
As part of this case study project, my responsibilities included:
- 📄 Understanding Business Needs: Analyzed
ad-hoc-requests.pdf
containing 10 business problems. - 🔍 Data Querying with SQL: Wrote SQL queries to extract relevant data.
- 📊 Presenting Insights: Created a PowerPoint deck with insights tailored for senior management.
- Used MySQL to query databases and gather accurate data.
- Ensured data integrity using validation methods.
- Delivered actionable insights aligned with each business need.
- Improved SQL proficiency for real-world data processing.
- Gained business analysis experience through scenario-based questions.
- Learned to communicate insights through clear and concise presentations.
- Developed a structured approach to transforming raw data into decision-ready insights.
File Name | Description |
---|---|
Consumer Goods of AtliQ Hardwares.sql |
SQL script for data extraction and processing |
Consumer Goods of AtliQ Hardwares.txt |
Business insights and dataset overview |
Hints.pdf |
Hints and tips to guide SQL logic |
Metadata.txt |
Table structures and relationships |
ad-hoc-requests.pdf |
10 business scenarios requiring analysis |
demo_sql_queries.txt |
Sample SQL queries used for exploration |
- Open your MySQL environment.
- Run
Consumer Goods of AtliQ Hardwares.sql
to extract the required data. - Use supporting files like
Hints.pdf
,Metadata.txt
, anddemo_sql_queries.txt
for guidance.
This case study demonstrates my ability to:
- Tackle real business challenges using SQL and analytical thinking.
- Present insights that directly support business decisions.
- Bridge the gap between raw data and meaningful outcomes.
Feel free to explore this repository. For any questions or discussions, don't hesitate to reach out!