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LCNC in BI and Predictive Analytics

Smarten

The Use and Benefits of Low-Code No-Code Development in Business Intelligence (BI) and Predictive Analytics Solutions Introduction In this article, we will discuss Low-Code and No-Code Development (LCNC) and the use of the Low Code and No Code approach for business intelligence (BI) tools and predictive analytics solutions.

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How can CIOs Build Business Value with Business Analytics?

Smart Data Collective

Over 70% of global businesses use some form of analytics. This is an important year for enterprises keeping in view that most global industries are recovering from the pandemic horror, and the era of web 3.0 They are using analytics to help drive business growth. is at the doorstep. Extract Value From Customer.

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

Smarten

This article describes the Spearman’s Rank Correlation and how it is used for enterprise analysis. 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.

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

Smarten

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. About Smarten.

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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. ARIMAX is suitable for analysis where there are additional explanatory variables (multivariate) in categorical and/or numeric format. How Can ARIMAX Forecasting Be Used for Enterprise Analysis?

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Provide Use Cases to Illustrate Augmented Analytics Value!

Smarten

While every business can and should develop a set of business use cases that will apply to its own unique industry, function and/or issues, your enterprise can use these sample use cases to illustrate the usefulness of augmented analytics.’

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Augmented Analytics Algorithms and Techniques: Learning for Citizen Data Scientists

Smarten

This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools. Use Case(s): Average value of all cars in U.S.