RFM and X-Means Clustering of 5,244 Saudi E-Government Citizen Transaction Profiles

AL-Hawamleh, Ahmad provides 5,244 citizen-level transaction profiles from the Digital Government Authority, Saudi Arabia, under official data request No. 23/2025/509. The dataset consists of administrative transaction records from Saudi e-government service interactions, including RFM indicators and auxiliary demographic variables. It was last updated on July 6, 2026, and was provided strictly for research purposes under restricted-access conditions.

Use Cases

• Segment citizen engagement levels based on recency, frequency, and monetary contribution indicators.
• Validate clustering algorithms like X-Means using the provided demographic and engagement variables.
• Profile e-government service users for targeted policy or communication strategies.

Strengths

• Contains 5,244 citizen-level transaction profiles for analysis.
• Includes core RFM indicators (recency, frequency, monetary) alongside auxiliary demographic variables.
• Sourced from an official government authority under a specific data request (No. 23/2025/509).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the raw transaction records is unknown, which may limit suitability assessment.
• Data may reflect geographic and institutional bias inherent to its source.

Provenance

Source

Digital Government Authority, Saudi Arabia

Collection Method

Administrative transaction records from e-government service interactions, obtained under official data request.

Freshness

Last updated 2026-07-06 13:55:56; freshness should be verified.

Geography

Saudi Arabia