HR Data Analytics Checklist

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Defining Objectives and Scope

Identify the key business questions or challenges that HR data analytics can address.

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Identify Business Needs Planning

Define the scope of the HR data analytics project (e.g., specific departments, timeframes).

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Define Scope Planning

Set clear and measurable objectives for the HR data analytics project.

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Set Objectives Planning

Involve relevant stakeholders (e.g., HR team, management, IT) in the planning process.

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Stakeholder Involvement Planning

Data Collection and Preparation

Identify relevant data sources (e.g., HRIS, payroll, performance management systems).

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Identify Data Sources Data Collection

Extract and collect the necessary data from identified sources.

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Data Extraction Data Collection

Clean and preprocess the data to ensure accuracy and consistency.

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Data Cleaning Data Preparation

Transform and format the data for analysis.

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Data Transformation Data Preparation

Ensure data security and privacy throughout the process.

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Data Security Data Handling

Data Analysis and Interpretation

Select appropriate data analysis techniques (e.g., descriptive statistics, regression analysis).

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Select Analysis Techniques Analysis

Perform the data analysis and generate insights.

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Perform Analysis Analysis

Interpret the results and draw meaningful conclusions.

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Interpret Results Interpretation

Visualize the data using charts, graphs, and dashboards.

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Visualize Data Reporting

Reporting and Action Planning

Create clear and concise reports to communicate findings.

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Create Reports Reporting

Present the findings to relevant stakeholders.

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Present Findings Communication

Develop action plans based on the insights gained from the data analysis.

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Develop Action Plans Action Planning

Monitor the impact of the implemented actions and measure their effectiveness.

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Monitor Impact Post-Implementation