Develop a Strategy for Workforce Analytics with Big Data

Linking HR value and business performance.

Onsite Workshop

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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.

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.
1.2 Identify organizational gaps and pain points.
  • A list of pain points in the organization.
1.3 Analyze WFA categories for high value to your organization.
  • A thorough understanding of WFA categories.
1.4 Choose the WFA category to focus on that provides the most value.
  • Selection of WFA category to focus on.

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.
  • A list of ways your organization needs to improve to increase its analytical abilities.
2.2 Develop secondary and tertiary Big Data goals.
  • A ranking of all WFA categories in your organization.
2.3 Mitigate issues during implementation.
  • Execution and maintenance plan.
2.4 Consider external factors.
2.5 Maintain strategy.

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