Employee Experience Drives IT to Reorchestrate Data Use Cases and Lean Toward Platform 2.0

Employee Experience Drives IT to Reorchestrate Data Use Cases and Lean Toward Platform 2.0

This IDC Market Perspective looks at employee experience driving IT to reorchestrate data use cases and lean toward Platform 2.0. The constant nature of economic, business, and labor market change is driving organizations to rethink how their data infrastructure supports the sustainability of their operational continuity. While many organizations have the data they need to execute across complex and dynamic decisions, reinforced operational data silos prevent them from optimizing decision timing and stakeholder unity, leading to logjams and unresponsiveness around key aspects of workforce and resource demands. Rising employee dissatisfaction is driving HR leaders to embrace aspects of employee experience (EX) transformation to respond to employee disengagement and disconnection. As HR seeks to carry EX insights into non-HR decisions, early rejection drives them to work with IT to integrate their new data and insights directly into non-HR analytical models, breaking their data silo. The HR–IT partnership is driving a wholesale rethinking of the internal data use case environment, leading to a rise in broader cross-functional decision enablement based on a common data infrastructure — Platform 2.0. "Early function platform automation promised single sources of truth for individual operational stakeholders to fulfill their siloed mandates," said Zachary Chertok, research manager for Employee Experience. "As siloed mandates generated functional data silos, organizations are now paying the price for stakeholder disunity in transformational decision-making, with that price being paid in lost agility and adaptability. As organizations face a rising need to become more dynamic around change factors, their drumbeat is growing louder for improved cross-functional data use for complete and contextualized analytics that support increasingly unified decision modeling assessable from different stakeholder perspectives."

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