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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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The Advantages of Augmented Analytics!

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Augmented Analytics advantages support users by empowering them and encouraging user adoption with auto-recommendations and suggestions that help them visualize data in a way that makes sense for the type of data they are analyzing. Empower users with augmented analytics that include ETL for business users, smart data visualization and more!

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Elegant MicroWeb (Smarten SSDP Solution) Named as a Representative Vendors in Gartner April 2019 ‘Market Guide for Data Preparation Tools’

Smarten

We believe that our focus on self-serve data preparation and our product roadmap assures the continued evolution and advancement of data democratization, and business user data literacy.

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What is ARIMAX Forecasting and How is it Used for Enterprise Analysis?

Smarten

This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. An Autoregressive Integrated Moving Average with Explanatory Variable (ARIMAX) model can be viewed as a multiple regression model with one or more autoregressive (AR) terms and/or one or more moving average (MA) terms.