Amazon Employee Access: Historical Resource Permission Decisions from 2010-2011

Historical data from 2010 and 2011 records manual decisions to allow or deny employee access to resources. This dataset was used for a Kaggle competition to build an algorithm that predicts approval or denial for an unseen set of employees. The data originates from Amazon and is published under a U.S. public domain license.

Use Cases

• Predict employee resource access decisions based on historical approval/denial patterns.
• Analyze workforce security policies based on manual permission logs.
• Benchmark classification algorithms on a real-world access control problem.

Strengths

• Data consists of real historical records from a major corporation.
• Dataset was the basis for a public Kaggle competition, suggesting a defined predictive task.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Amazon, via Kaggle competition.

Collection Method

Collected from real historical access decisions.

Time Range

2010-2011

Freshness

Data covers 2010-2011; last platform update date is unknown.

Geography

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