UMKM Synthetic Operational Data with 100K-1M Monthly Records

Synthetic records totaling between 100,000 and 1,000,000 simulate the monthly operational characteristics of Indonesian MSMEs (UMKM). Created by ZakyF and updated in March 2026, the data models business scale, operational efficiency, and customer sentiment. It provides a consistent framework for exploring the relationships between financial metrics and customer feedback.

Use Cases

• Sentiment analysis using the customer review text
• Revenue forecasting using monthly transaction volume
• Burn rate optimization modeling for operational efficiency

Strengths

• 100,000 to 1,000,000 synthetic records
• Multimodal data including tabular metrics and text reviews
• Models consistent relationships between revenue and burn rate

Limitations

• Synthetic nature may not capture real-world market volatility
• Geographic context is limited to Indonesian business structures

Provenance

Source

ZakyF via Hugging Face

Collection Method

synthetic

Freshness

Last updated March 2026

Geography

Indonesia