COMPUTER CONFIGURATION
Data Analysis PC
Configuration for Excel, Power BI, SQL, Python, data processing and local analytics workloads.
Recommended Configuration
| CPU | Modern 6–8 core processor |
|---|---|
| RAM | 16 GB minimum; 32 GB recommended |
| Storage | 1 TB NVMe SSD |
| GPU | Integrated graphics is sufficient for most Power BI/SQL/Python work |
| Display | 24–27 inch Full HD/QHD IPS display |
| Backup | External drive or cloud backup for important datasets |
💡 What to Prioritize
Do not choose components only by model name. Match the processor, RAM, storage, graphics, power supply and cooling to the actual workload.
🔧 Upgrade Planning
Before buying a desktop, check motherboard RAM slots, M.2 slots, PSU capacity, case clearance and cooling support so future upgrades remain possible.
💾 Storage & Backup
An SSD improves everyday responsiveness. Important documents, projects and datasets should also have a separate backup.
⚠️ Before Buying
Prices and component availability change. Treat this page as a specification guide and compare current models and prices before purchasing.