HR Workforce Identifier Data

HR analytics, also known as people analytics, workforce analytics, or talent analytics, involves the systematic process of collecting, examining, and reporting human resources data. The core goal is to gather talent-related information to enhance crucial talent and business results. This practice facilitates data-driven decision-making by allowing organisations to assess the influence of various HR metrics on overall business efficacy. It provides the foundation necessary for analysts to interpret and evaluate large datasets for strategic planning.

The dataset includes one primary column.

The data is distributed in the CSV format, specifically as HR_Analytics.csv, and has a size of 322.25 kB. The dataset contains 32.3k valid records, representing 100% of the data, with no reported mismatched or missing entries. The expected update frequency for this dataset is annually.

The data is suitable for various applications in workforce management and organisational strategy. Ideal use cases include running data analytics processes and data cleaning exercises. It can be utilised for building models, including those supported by tools like Bigquery and AutoML, and for graph analysis to derive actionable insights for improving strategic planning.

The data pertains to the foundations of workforce measurement and employee metrics. Since the focus is on identifiers (EMPID), specific geographic, time range, or demographic details are not supplied, though the data is essential for segmenting and measuring fundamental workforce groups within an organisation.

CC0: Public Domain

Intended users include HR analysts and people analytics specialists who are accountable for interpreting and evaluating talent data. Data scientists and machine learning engineers can leverage this structured data for developing predictive models. Business strategists will find the data useful for linking employee metrics directly to business outcomes.

Original Data Source:HR Workforce Identifier Data