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Our expertise, collaboration, deep insight and innovation delivers better outcomes 

Solutions & Services

  • Applied Analytics incl. Operations Research
  • Decision Support Tools & Predictive Modelling
  • Capacity & Network Performance Management
  • Asset Management Services
  • Our Team
  • Energy Case Study: Transpower NZ (PDF)
  • Telecommunications Case Study: Telecom NZ  (PDF)
  • Company Profile (PDF)
  • Harmonic's R Expertise - News Update

Advanced Analytics

The use of advanced analytics or 'quantitative analysis' is a specialised area of high value to organisations for informed decision making.   Our expertise enables Harmonic to solve specific business challenges for our clients.  We help turn organisational data into an asset. The result is concise and realiable data to provide actionable insight for business managers and technical staff.

A deep understanding of business and technical issues combined with our proven data analysis, integration and forecasting capabilities enable decision makers to harness information for improved business performance. We have demonstrated the value of Advanced Analytics across sectors including, telecommunications, energy and agriculture.

Business Benefits Include:
  • Pro-active long term planning
  • Improved service performance -understand critical performance drivers and mitigate risk
  • Reduce operating costs
  • Asset efficiency
  • Optimise resources and improve efficiency gains
  • Predict future capacity needs
  • Customer satisfaction. Manage resources and improve scheduling to ensure a high level of customer service.
  • Time saving - ease of automated information
  • The flexibility to phase investment without compromising service
Our Advanced Analytics expertise includes:
  • Statistical analysis 
  • R expertise (statistical modelling language) for advanced data analysis and sophisticated modelling
  • Operations Research Techniques
  • Forecasting e.g. predictive models
  • Optimisation
  • Datamining
  • Dynamic visualisation

Our Operations Research approach includes:
 

  • Simulation - the ability to try different approaches and test ideas for improvements using computer models.
  • Optimisation - narrow your choices, using mathematical models to select the best from multiple options.
  • Probability and Statistics - Data analysis to measure risk, mine data and find valuable connections and insights, test conclusions and make reliable forecasts.


    Our Team Expertise and collaboration

    Our team of highly qualified professionals including data scientists are experienced in Operations Research and statistical techniques. We  have strong relationships with experts at universities and in particular work closely with the University of Auckland to complement our in house expertise.
 
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