DataDialogue | Community

 DataDialogueTM | Community Powered by Morpace combines large samples of representative, real-world, customer drivng data with ongoing engagement via an Insight Community to provide engineers with contextual understanding of driver behavior, vehicle usage, and duty cycles. DataDialogue | Community helps explain the “why” behind the data and humanizes the interaction between man and machine.

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Morpace recruits your target audience and coordinates with the community members (and dealership, if necessary) for the installation of a telematics device. Morpace then collects the data in real-time, aggregates, and analyzes the telematics data to address the pre-defined business objective(s). To gain contextual understanding of driving behavior and vehicle usage, Morpace invites community members to complete online surveys. This unique pairing of real-world driving data with contextual surveys provides a truly unique perspective of the interaction between driver and vehicle.

Provides Immediate and Long-Term Benefits

  • Faster product development
  • Improved vehicle quality
  • Reduction in product development cost
  • Improved brand advocacy and quality

Addresses Today’s Challenges & Delivers Impactful Results

OEMs have applied insights gleaned through DataDialogue | Community to improve their product development process and quickly respond to evolving consumer demands. To receive a case study about how DataDialogue | Community has been leveraged cost effectively for business impact, click the button below.

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Helps Relieve Manufacturing Burdens

  • Government regulations
  • Escalating vehicle complexity
  • Decreasing product development times
  • Demand for personalization
  • Telematics data overload

Integrates Previously Separate Paradigms

Traditional Voice of Customer feedback scattered across disparate data sources is replaced with experiences based on actual driving events and in-the-moment ownership experiences. The centralization of an array of data inputs enables robust analysis and modeling to better understand consumers’ expectations across customer segments, geography, terrain, and topography.

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