Sensor Data Designs for Human Capital analytics

By Jeff Segall, Founder Inflow Interactive LLC

Sensor Data Designs for Human Capital Analytics
SMART Activity Observer® presents an innovative opportunity to address the challenges of measuring team capability improvement and behavior change. Taking full advantage of sensor-based affordances will require simulation designers and team leaders to embed analytics early in the design process.
The alignment of team outcome metrics with enterprise performance needs is a core principle of data-driven 21st century workplace learning. Designers must work with front-line supervisors to establish commonly agreed metrics, and identify enterprise systems data that can validate team learning efforts. In most cases, existing data sources will require augmentation to reliably capture the effects of learning interventions. Innovative organizations are blending SMART Activity Observer® activity stream data with performance data from enterprise systems to unveil a 360 degree view of team capabilities, behaviors and learning efficacy over time.

Human Capital Analytics Challenges – 2016
To overcome limited historical support for analytics, frontline leaders will need to accelerate partnering efforts with departmental functional analysts and technical support groups. Key challenges for augmenting workforce analytics capabilities are addressed in SMART Teams Resources:

• Extraction, transformation and analysis of JSON time series data
• Blending data from xAPI and enterprise systems
• Designing for data visualizations
• Identify and prototype learning analytics projects

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