This article describes the Spearman’s Rank Correlation and how it is used for enterprise analysis.
Tag: Citizen Data Scientist
This article discusses the Paired Sample T Test method of hypothesis testing and analysis.
This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis.
This article presents a brief explanation of Outliers, and how this type of analysis is used.
This article describes chi square test of association and hypothesis testing.
This article provides a brief explanation of the FP Growth technique of Frequent Pattern Mining.
This article provides a brief definition of the multinomial-logistic regression classification algorithm and its uses and benefits.
This article provides a brief explanation of the Holt-Winters Forecasting model and its application in the business environment.
In this article, we will focus on the identification and exploration of data patterns and the trends that data reveals. The business can use this information for forecasting and planning, and to test theories and strategies. Let’s look at the various methods of trend and pattern analysis in more detail so we can better understand the various techniques.
There is a new business role on the horizon and, at first glance, it may seem very much like a role that was introduced a few short years ago. This new enterprise role is known as an ‘Analytics Translator’ and, while there is some confusion regarding the distinction between this role and the newly minted Citizen Data Scientist or Citizen Analyst, there are some subtle but important differences. In a previous article (What is an Analytics Translator and Why is the Role Important to Your Organization?), we discussed the definition of an Analytics Translator. Here, we will discuss the role of Citizen Data Scientist and Analytics Translator and how they differ. To understand these roles, let’s look first at the somewhat more familiar role of Citizen Data Scientist (AKA Citizen Analyst).
