If you are a business manager who wants to enable a Citizen Data Scientist environment, but you find yourself up against resistance, it is often because your business users believe that advanced analytics is just too hard for them to learn and that the use of these types of techniques and systems will slow them down and confuse their otherwise familiar processes.
Many businesses have embraced the Gartner prediction that transforms business users into Citizen Data Scientists to help organizations democratize analytics with simple tools that will improve the quality and timeliness of decisions. You can read white papers, industry articles and other publications that will support and articulate this approach to business flexibility, agility and success. But, if you do not embrace the culture change required to deploy this strategy across your enterprise, your Citizen Data Scientist initiative will not succeed.
This article will focus on the Naïve Bayes Classification method of analysis.
In this article, we will discuss the KNN Classification method of analysis.
This article discusses the analytical technique known as Sampling and provides a brief explanation of two types of sampling analysis, and how each of these methods is applied.
In this article, we will discuss the Binary Logistic Regression Classification method of analysis, and how it can be used in business.
This article describes the Simple Linear Regression method of analysis.
This article explains the Karl Pearson Correlation method of analysis, and how it can be applied in business.
This article provides a brief explanation of the SVM Classification method of analytics.
This article provides a brief explanation of the FP Growth technique of Frequent Pattern Mining.
