Develop a Strategy for Workforce Analytics with Big Data
Linking HR value and business performance.
RETIRED CONTENT
Please note that the content on this page is retired. This content is not maintained and may contain information or links that are out of date.Not having a strategy for workforce analytics with Big Data causes:
- Lack of clarity about the business value HR is producing for the business.
- Less ability to make data-driven decisions.
- Missing profitable insights that can only be discovered through Big Data analysis.
A formalized strategy for workforce analytics with Big Data results in:
- Access to insights about your candidates and ways of doing business to increase your efficiency and profitability.
- Ability for HR to speak the language of the business – numbers and metrics – which means they can provide business recommendations.
- Ability for HR to become a more strategic partner in the organization.
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Module 1: Make the Case and Identify Data Needs
The Purpose
- Discuss the need for Big Data in HR.
- Discuss the power of Big Data with examples.
- Identify organization-specific data needs based on McLean & Company’s category analysis.
Key Benefits Achieved
- An understanding of the power of Big Data and why HR needs to focus on it (as part of a larger HR strategy or as a standalone initiative).
- A list of data needs for HR to show business value.
- An identified WFA category.
| Activities: | Outputs: | |
|---|---|---|
| 1.1 | Make the case discussion. |
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| 1.2 | Identify organizational gaps and pain points. |
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| 1.3 | Analyze WFA categories for high value to your organization. |
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| 1.4 | Choose the WFA category to focus on that provides the most value. |
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Module 2: Prioritize Opportunities, Develop, and Execute Strategy
The Purpose
- Prioritize the types of data that your organization is most able to derive benefit from.
- Develop your business case and strategy.
- Execute your strategy.
Key Benefits Achieved
- An understanding of the types of data from which you can derive the most insight based on your analytical capabilities.
- A plan to move up the analytics difficulty ladder as needed for your organizational needs.
- A business case for your WFA initiatives.
- A strategy plan.
- An execution plan.
| Activities: | Outputs: | |
|---|---|---|
| 2.1 | Start, stop, and continue activity. |
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| 2.2 | Develop secondary and tertiary Big Data goals. |
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| 2.3 | Mitigate issues during implementation. |
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| 2.4 | Consider external factors. |
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| 2.5 | Maintain strategy. |
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