Business Analysis Predictive Analytics Visualization 
Smart Data Collective
JUNE 16, 2022
Team Upskilling: Train business analysts on planning, gap analysis, scoping & blueprinting, cost-benefit calculation of new initiatives, solution architecture, modelling, elicitation, requirement management, performance management, and other improvement initiatives. Tools Updating: A business analyst is as good as his/her tools.
Smarten
JUNE 29, 2018
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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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
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
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
Occam's Razor
FEBRUARY 7, 2011
For help with identifying opportunities and how to do business analysis please see this post: The Beginner's Guide to Advanced Web Data Analysis. By doing multichannel analytics! The latter, except in rare cases, is hard to do predictive analytics on unless you are a stagnant business.
Smarten
JUNE 27, 2018
How Can Outlier Detection Improve Business Analysis? The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.
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