Smart Data Collective
JUNE 16, 2022
Analytics is becoming more important than ever in the world of business. Over 70% of global businesses use some form of analytics. For both reasons, the role of CIOs has to embrace automation and analytical thinking in strategizing the organization’s initiatives. is at the doorstep. and shall touch USD 65.4
Smarten
FEBRUARY 8, 2023
Business Use Cases Can Help Users Understand the Value of Augmented Analytics! Gartner predicts that, ‘Through 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance.’
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Smarten
JUNE 29, 2018
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.
Smarten
JUNE 29, 2018
This article describes the analytical technique of multiple linear regression. What is Multiple Linear Regression Analysis? To better understand multiple linear regression, let’s look at one such analysis of independent variables: Temperature and Humidity, and a target variable (yield). Use Case – 1.
Smarten
JUNE 29, 2018
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.
Smarten
JUNE 29, 2018
In this article, we discuss the analytical method known as frequent pattern mining, previously known as ‘association’ What is Frequent Pattern Mining? How Does Frequent Pattern Mining Support Business Analysis? This method of analysis can be useful in evaluating data for various business functions and industries.
Smarten
DECEMBER 12, 2018
Many businesses are just discovering the benefits of self-serve business intelligence and establishing data democratization initiatives but, as every business manager and team member knows, business markets and competition move rapidly and yesterday’s business intelligence initiatives are morphing into advanced analytics efforts.
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