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. About Smarten.
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. About Smarten.
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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. About Smarten.
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
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
FEBRUARY 8, 2023
Marketing Optimization Businesses create targets and goals but, without a fundamental understanding of what affects sales and what kind of decision process customers use to choose a product or service, the marketing and advertising process is based only on guesswork.
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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