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In a global business environment characterized by disruption, change, and volatility, the digital transformation of industrial operations is much more than a well-established trend. Industrial Transformation (IX) is the strategic approach manufacturers and other industrial organizations increasingly rely on for competitive differentiation and ultimately sustainable, profitable growth.

Industrial organizations are shifting to a more holistic view of Connected Operations that digitally integrates frontline workers into the overall operational management system – the Connected Worker. Use cases in the initial wave of IX investment focused on using asset-related data and advanced analytics to drive improvement in areas such as asset reliability, energy management, and product quality. Now, there is a strong trend towards an integrated approach that incorporates workforce considerations into IX initiatives and using people-related data to drive improvement in the overall operational management system.

Nearly half of industrial organizations are already well underway with implementing or piloting a wide range of IX initiatives to digitally connect their operations. However, not all is going smoothly. Despite significant levels of IX investment, there is considerable disparity in organizational achievement of business value and targeted results. LNS Research has categorized companies based on where they are in their IX journey: “Leaders” (the top 30% experiencing real success), early-stage “Followers” (54%), and those that are “Stuck” in pilot stages (15%). The rise of the digitally Connected Worker reflects the conventional wisdom that improvement, whether incremental or step-change, calls for holistic alignment of the right people, process, and technology capabilities.

The research presented by LNS in this eBook explores:

  • Why Connected Worker initiatives are strategic as well as their role in IX programs
  • Frameworks for conceptualizing and formulating Connected Worker solutions
  • The selection and implementation of Connected Worker use cases, and evidence of business value
  • Actionable recommendations