New Product Development Data Analytics

New products must come from somewhere. They basically come from ideas provided by customers (intentionally or not), experts, and employees. These ideas are collected in the form of text data, survey data, and transactional/website data. Converting this data into Rich Information for new product development is an issue.

Data Analytics Corp. moves you cross the Analytical Bridge for New Product Development using:

  • Text Analysis
  • Discrete Choice Analysis
  • Discrete Choice Analysis
  • Pricing
  • Kansei Analysis
  • Message Ranking Analysis
  • Tracking

Data Analytics Corp. believes that new products fail for three reasons: Product Design Failures, Pricing Failures, and Messaging Failures.

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We analyze data to help clients avoid or minimize these three sources of failures by advocating a process involving Deep Data Analysis Small and Big Data as illustrated in this figure:

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Deep Data Analysis is involved at each stage: Text Analysis for Ideas; Conjoint and Kansei Analysis for Development; Discrete Choice for Testing; Message Ranking and TURF for Launch; Big Data Analysis for Tracking.


Data Analytics Corp.’s founder, Walter R. Paczkowski will publish a book on Deep Analytics for New Product Development which is listed on the Training menu.

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