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THE POWER OF INFORMATION

forecastingWhat would you do if you could predict your sales using data analysis? Reduce your inventory? Plan your resources?

How fast would your sales grow if you knew which of your customers would most likely come back to your store?

Mathematical techniques and statistical analysis can assist you in determining the driving forces behind your business. Numerical Insights provides this service.

Data collection is an important activity in a technological world, but information is only truly powerful if you collect the right data and know what to do with it.

You may contact Numerical Insights for further discussion of data analysis applications or feel free to sign up for the free newsletter to get a monthly sample of the services.


mathematical analysisExample1: Predicting Future Sales
Is your business seasonal? Is it trending upward or downward? Is the data too chaotic to tell? A study of your historical business data may shed some light on the topic. Estimating your future sales would help you to better understand how many people your business needs, how much raw material you should keep on hand...

Example2: Customer Analysis
Wondering who your most valuable customers are? What percentage are repeat customers? Do they shop all year or only during certain seasons? Do they prefer to ship online or in your store? Data collection and analysis may provide some insight.

Example 3: Survey Communications
Have you surveyed your customers recently? Do you see customer groups emerging from the data? Are the differences in the groups significant or just a result of normal sampling variation? Statistical analysis can help to understand what your survey results are really telling you.

 

Company Information

Location: Germantown, Collierville, Memphis, TN.

Fee Structure : $125/hour plus expenses.

Email:
tsmith@numericalinsights.com

Services

  • Data analysis / statistical analysis.
  • Profitability analysis at the product or customer level.
  • Inventory performance analysis.
  • Online surveys and survey analysis.
  • Business courses from simple business math to advanced numerical methods.
  • Linear & non-linear forecasting.
  • Seasonal & time series forecasting.
  • Graphical Analysis.
  • Predictive modeling.
  • Development and analysis of company metrics.

 

 

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