Develop a Strategy for Workforce Analytics with Big Data
Linking HR value and business performance.
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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.
- 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.
||Make the case discussion.
||Identify organizational gaps and pain points.
- A list of pain points in the organization.
||Analyze WFA categories for high value to your organization.
- A thorough understanding of WFA categories.
||Choose the WFA category to focus on that provides the most value.
- Selection of WFA category to focus on.
- 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.
||Start, stop, and continue activity.
- A list of ways your organization needs to improve to increase its analytical abilities.
||Develop secondary and tertiary Big Data goals.
- A ranking of all WFA categories in your organization.
||Mitigate issues during implementation.
- Execution and maintenance plan.
||Consider external factors.