Predictive Analytics Deliver

  • Actionable insights about the future
  • Superior decision-making
  • Realtime course correction
  • Business process optimization
  • Higher profits

NMX Offers

  • Twenty Years of Experience
  • Descriptive, Predictive, and Prescriptive Analytics
  • Data Science On-demand
  • Statistical Analysis
  • Algorithm Development
  • Data Visualization

Our data science team focuses on the design and implementation of advanced algorithms that extract insights from complex data. NMX has twenty years experience using large, historical datasets to drive the development of predictive models. We’re experienced in applying a variety of predictive modeling techniques, including regression, decision trees and neural networks. We use a range of third-party tools such as Mathematica, R, MATLAB, SAS, Alteryx and Pentaho, and we have broad experience in data visualization applications that complement analytics.

NMX data science engineers understand the requirements of analytic processes and share their insights with other engineers building logical and physical data models. This type of specialized expertise is needed during the early phases of a project and again at various inflection points during development and long-term operations. The NMX approach of providing engineering resources on demand is ideal for projects involving complex data.

Experience

NMX has twenty years of experience with descriptive, predictive and prescriptive analytics.  We started in the field in 1997 and pioneered a SaaS-based suite of analytics tools in 2001 for the semiconductor industry. The application (Numetrics) analyzes project history databases, derives key factors impacting semiconductor design, and estimates schedule and engineering requirements (effort) for new projects. Our solution was acquired by McKinsey & Co. in 2013 (https://www.mckinsey.com/solutions/numetrics). It has been applied to more than 5,000 semiconductors (and embedded software) components at leading companies, including Intel, AMD, Qualcomm, Hewlett Packard, Texas Instruments, Analog Devices, NEC, Panasonic, Philips, NXP, Infineon, Cisco, Marvell, Ericsson, ST Microelectronics, Sony and many others.