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From variance to the method of least squares

From variance to the method of least squares

The mean is one of the most popular and widely used statistical measures. By itself, it is not an exhaustive indicator and only allows for the determination of the central tendency of the variable under analysis.

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The power of a test

The power of a test

The power of a test is the probability of detecting a statistically significant effect when one actually occurs in the population under study.

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Customer Satisfaction Index (CSI)

Customer Satisfaction Index (CSI)

The Customer Satisfaction Index (CSI), or Consumer Satisfaction Index, is a method used in marketing to assess customer satisfaction with the products or services provided by a company.

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Customer Effort Score (CES)

Customer Effort Score (CES)

The Customer Effort Score (CES) is, along with the Net Promoter Score (NPS) and Customer Satisfaction (CSAT), one of the main indicators related to customer satisfaction.

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Factor analysis

Factor analysis

The aim of factor analysis is to explain as much of the variability as possible with as few variables as possible.

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Net Promoter Score (NPS)

Net Promoter Score (NPS)

Customer satisfaction and loyalty surveys are now an integral part of a business focused on growth and building competitive advantage. The NPS index, which is an acronym for Net Promoter Score, is now the standard in this area.

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Column chart, bar chart and histogram

Column chart, bar chart and histogram

Column and bar charts have long been some of the most popular ways of visualising data. Before deciding to use any of them, it is worth taking a closer look at them.

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Scatter plot

Scatter plot

A scatterplot (also otherwise known as a dot plot or scatterplot) is a graph with two perpendicular axes on which two variables are presented.

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Integrating business intelligence with data science: PS IMAGO PRO and PS CLEMENTINE PRO

Integrating business intelligence with data science: PS IMAGO PRO and PS CLEMENTINE PRO

A complex knowledge management system requires integration, namely the integration of multiple and diverse processes, and the integration of the tools responsible for those processes. In practice, how can we create a complete analytical system that not only takes advantage of modern algorithms, but…

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