Remove Business Analysis Remove Modeling Remove Predictive Modeling
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LCNC in BI and Predictive Analytics

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Predictive Modeling A wizard-based, guided user interface (UI) helps users to create predictive models with no need for IT intervention, and no programming or scripting experience.

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What is Multiple Linear Regression and How Can it be Helpful for Business Analysis?

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To better understand multiple linear regression, let’s look at one such analysis of independent variables: Temperature and Humidity, and a target variable (yield). How Can Multiple Linear Regression Be Helpful for Business Analysis? Use Case – 1.

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What is Spearman’s Rank Correlation and How is it Useful for Business Analysis?

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How is Spearman’s Rank Correlation Useful for Business Analysis? Business Problem: An educational organization wants to assess students’ rating, based on two different sources of observation. The closer this value is to 0, the weaker the relationship/association is between both variables. Use Case – 1.

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What is the Paired Sample T Test and How is it Beneficial to Business Analysis?

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How is the Paired Sample T Test Beneficial to Business Analysis? This type of analysis can be useful in numerous situations. Let’s look at two use cases to better understand the benefit of this technique in business analysis. Therefore, the treatment was not effective. Use Case – 1.

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What is Frequent Pattern Mining (Association) and How Does it Support Business Analysis?

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How Does Frequent Pattern Mining Support Business Analysis? This method of analysis can be useful in evaluating data for various business functions and industries. Basket Data Analysis – To analyze the association of purchased items in a single basket or single purchase. Confidence (milk->bread) = 0.5

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Gartner Predicts Growth of Augmented Analytics!

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It enables data sharing and allows the organization to produce fast, dependable insights and improve the value of business analysis across the enterprise, democratizing the use of Advanced Analytics and augmented predictive tools among business users.

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The Advantages of Augmented Analytics!

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Assisted predictive modeling suggests techniques to analyze data that will result in the right outcome for the goals of the analysis. Self-serve data preparation walks the user through the data preparation process so that they can easily prepare data for analysis without the assistance of IT or a data scientist.