Argo Insights

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Argo Insights

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  • What we do
    • About Our Services
    • Data Management
    • Data Visualization
    • Data Modeling
    • Predictive Analytics
    • Machine Learning
    • Noise Auditing
    • Market Research
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    • Home
    • Who we are
    • What we do
      • About Our Services
      • Data Management
      • Data Visualization
      • Data Modeling
      • Predictive Analytics
      • Machine Learning
      • Noise Auditing
      • Market Research
    • Make it Real
    • Contact
  • Home
  • Who we are
  • What we do
    • About Our Services
    • Data Management
    • Data Visualization
    • Data Modeling
    • Predictive Analytics
    • Machine Learning
    • Noise Auditing
    • Market Research
  • Make it Real
  • Contact

Decision Noise Auditing

Imagine arrows in a target. Bias is like when the arrows are all accurately grouped but systematically off the mark. Noise is when the arrows, whether on or off the mark on average, are spread very loosely all over the target.


Now imagine that each arrow represents the result of a business decision. When they are all tightly grouped but off the mark, it may not cost much, but your ROI is very low because you aren't getting the result you're looking for. When they average to being on the mark, but are widely dispersed across the target, your costs can be very high because the decision making is highly inconsistent. 


Decision noise refers to unwanted and/or unexplained variance in business outcomes, resulting from decisions. Noise auditing plays an important role in business decision-making.  By conducting a noise audit, businesses can identify the sources of  unwanted decision noise and assess their impact on employees and customers. This information can then be used to develop  effective noise reduction strategies, which can help to improve  productivity and enhance customer satisfaction. Overall, noise auditing is an  important tool for businesses looking to make informed decisions that  balance the need for productivity and profitability. 

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