Smart Data Collective

DECEMBER 1, 2019

An article on Towards Data Science for a paper for a course on Computing and Society at Bucknell University showed that there are a number of case studies on artificial intelligence. When you have found the ones you want, you can then buy visually similar items with the click of a button. It’s also becoming more efficient too.

Artificial Intelligence 219

Artificial Intelligence Healthcare Finance Predictive Analytics 219

ElegantJ BI

OCTOBER 17, 2018

In this article, we will discuss the Binary Logistic Regression Classification method of analysis, and how it can be used in business. Business Benefit: Once classes are assigned, the bank will have a loan applicant dataset with each applicant labeled as “likely/unlikely to default. What is Binary Logistic Regression Classification?

Logistics 130

Logistics Banking Data Discovery Business Intelligence 130

ElegantJ BI

OCTOBER 17, 2018

In this article, we will discuss the Binary Logistic Regression Classification method of analysis, and how it can be used in business. Business Benefit: Once classes are assigned, the bank will have a loan applicant dataset with each applicant labeled as “likely/unlikely to default. What is Binary Logistic Regression Classification?

Logistics 130

Logistics Banking Data Discovery Business Intelligence 130

ElegantJ BI

OCTOBER 17, 2018

In this article, we will discuss the Binary Logistic Regression Classification method of analysis, and how it can be used in business. Business Benefit: Once classes are assigned, the bank will have a loan applicant dataset with each applicant labeled as “likely/unlikely to default. What is Binary Logistic Regression Classification?

Logistics 130

Logistics Banking Data Discovery Business Intelligence 130

ElegantJ BI

OCTOBER 16, 2018

This article discusses the analytical method of Hierarchical Clustering and how it can be used within an organization for analytical purposes. Business Benefit: Once the segments are identified, the bank will have a loan applicants’ dataset with each applicant labeled as high/medium/low risk. What is Hierarchical Clustering?

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 16, 2018

This article discusses the analytical method of Hierarchical Clustering and how it can be used within an organization for analytical purposes. Business Benefit: Once the segments are identified, the bank will have a loan applicants’ dataset with each applicant labeled as high/medium/low risk. What is Hierarchical Clustering?

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 16, 2018

This article discusses the analytical method of Hierarchical Clustering and how it can be used within an organization for analytical purposes. Business Benefit: Once the segments are identified, the bank will have a loan applicants’ dataset with each applicant labeled as high/medium/low risk. What is Hierarchical Clustering?

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 18, 2018

In this article, we will discuss the KNN Classification method of analysis. Credit/Loan Approval Analysis – Given a list of client transactional attributes, the business can predict whether a client will default on a bank loan. What is the KNN Classification Algorithm? It is useful for recognizing patterns and for estimating.

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 18, 2018

In this article, we will discuss the KNN Classification method of analysis. Credit/Loan Approval Analysis – Given a list of client transactional attributes, the business can predict whether a client will default on a bank loan. What is the KNN Classification Algorithm? It is useful for recognizing patterns and for estimating.

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 18, 2018

In this article, we will discuss the KNN Classification method of analysis. Credit/Loan Approval Analysis – Given a list of client transactional attributes, the business can predict whether a client will default on a bank loan. What is the KNN Classification Algorithm? It is useful for recognizing patterns and for estimating.

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

Dataversity

DECEMBER 22, 2021

Do a Google images search for “vaults” and you’ll get a quick visual tour of architectural history, a display of the varied designs of bank safes created to secure cash and other valuables, and even an introduction to gymnastic vaults. The post The Architecture of Cyber Recovery: Cyber Recovery Vaults appeared first on DATAVERSITY.

Banking 130

Banking Vision Visualization Data Architecture 130

ElegantJ BI

OCTOBER 16, 2018

In this article, we will discuss the Decision Tree analysis method. To access the characteristics of a customer such as his or her purchase frequency, income, age, type of bank account, occupation etc. that leads to purchase of a particular banking product such as installment loan, personal loan, checking account etc.

Banking 130

Banking Retail Data Discovery Business Intelligence 130

ElegantJ BI

OCTOBER 16, 2018

In this article, we will discuss the Decision Tree analysis method. To access the characteristics of a customer such as his or her purchase frequency, income, age, type of bank account, occupation etc. that leads to purchase of a particular banking product such as installment loan, personal loan, checking account etc.

Banking 130

Banking Retail Data Discovery Business Intelligence 130

ElegantJ BI

AUGUST 14, 2018

This article provides a brief explanation of the FP Growth technique of Frequent Pattern Mining. Business Problem: A bank marketing manager wishes to analyze which products are frequently and sequentially bought together. What is the FP Growth Algorithm? Use Case – 2.

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

SEPTEMBER 9, 2021

This article provides a brief overview of isotonic regression technique. What is Isotonic Regression? Isotonic Regression is a variant of linear regression and allows us to build models in piecewise linear manner i.e., breaking up the problem into few or many linear segments and performing linear interpolation of each function.

Data Discovery 130

Data Discovery Banking Business Intelligence Business Intelligence 130

ElegantJ BI

SEPTEMBER 9, 2021

This article provides a brief overview of isotonic regression technique. What is Isotonic Regression? Isotonic Regression is a variant of linear regression and allows us to build models in piecewise linear manner i.e., breaking up the problem into few or many linear segments and performing linear interpolation of each function. Use Case – 2.

Data Discovery 130

Data Discovery Banking Business Intelligence Business Intelligence 130

ElegantJ BI

SEPTEMBER 9, 2021

This article provides a brief overview of isotonic regression technique. What is Isotonic Regression? Isotonic Regression is a variant of linear regression and allows us to build models in piecewise linear manner i.e., breaking up the problem into few or many linear segments and performing linear interpolation of each function. Use Case – 2.

Data Discovery 130

Data Discovery Banking Business Intelligence Business Intelligence 130

ElegantJ BI

AUGUST 14, 2018

This article provides a brief explanation of the FP Growth technique of Frequent Pattern Mining. Use Case – 2 Business Problem: A bank marketing manager wishes to analyze which products are frequently and sequentially bought together. What is the FP Growth Algorithm?

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 16, 2018

This article provides a brief explanation of the SVM Classification method of analytics. Business Benefit: Once classes are assigned, the bank will have a loan applicant dataset with each applicant labeled as “likely/unlikely to default”. What is SVM Classification Analysis?

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

AUGUST 14, 2018

This article provides a brief explanation of the FP Growth technique of Frequent Pattern Mining. Use Case – 2 Business Problem: A bank marketing manager wishes to analyze which products are frequently and sequentially bought together. What is the FP Growth Algorithm?

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 16, 2018

This article provides a brief explanation of the SVM Classification method of analytics. Business Benefit: Once classes are assigned, the bank will have a loan applicant dataset with each applicant labeled as “likely/unlikely to default”. What is SVM Classification Analysis?

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 16, 2018

This article provides a brief explanation of the SVM Classification method of analytics. Business Benefit: Once classes are assigned, the bank will have a loan applicant dataset with each applicant labeled as “likely/unlikely to default”. What is SVM Classification Analysis? Use Case – 1.

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

Smart Data Collective

JUNE 4, 2021

Visual graphs are the core of descriptive statistics. The customer care of the bank may call or send a message to the user to verify the transaction. Publish Articles. Published articles are a fine addition to the resume. Basic knowledge of statistics is essential for data science.

E-Commerce 264

E-Commerce Cloud Computing Big Data Data Modelling 264

ElegantJ BI

OCTOBER 18, 2018

In this article, we discuss the analytical method known as frequent pattern mining, previously known as ‘association’ What is Frequent Pattern Mining? Use Case – 2 Business Problem: A bank-marketing manager wishes to analyze which products are frequently and sequentially bought together.

Business Analysis 130

Business Analysis Business Analysis Banking Data Discovery 130

ElegantJ BI

OCTOBER 18, 2018

In this article, we discuss the analytical method known as frequent pattern mining, previously known as ‘association’ What is Frequent Pattern Mining? Use Case – 2 Business Problem: A bank-marketing manager wishes to analyze which products are frequently and sequentially bought together.

Business Analysis 130

Business Analysis Business Analysis Banking Data Discovery 130

ElegantJ BI

OCTOBER 18, 2018

In this article, we discuss the analytical method known as frequent pattern mining, previously known as ‘association’ What is Frequent Pattern Mining? Business Problem: A bank-marketing manager wishes to analyze which products are frequently and sequentially bought together. Use Case – 2.

Business Analysis 130

Business Analysis Business Analysis Banking Data Discovery 130

ElegantJ BI

SEPTEMBER 19, 2021

This article provides a brief overview of random forest classification technique. What is Random Forest Classification? The Random Forest Classification model constructs many decision trees wherein each tree votes and outputs the most popular class as the prediction result. Business Use Case 2 Business Problem: Predict quality of Red Wine.

Data Discovery 130

Data Discovery Banking Business Intelligence Business Intelligence 130

ElegantJ BI

SEPTEMBER 19, 2021

This article provides a brief overview of random forest classification technique. Business Benefit: The predictive model will help us identify whether a customer fails to repay the loan depending on certain factors, which would lead to easier identification of risky customers and help the bank avert the risk delinquencies.

Data Discovery 130

Data Discovery Banking Business Intelligence Business Intelligence 130

ElegantJ BI

SEPTEMBER 19, 2021

This article provides a brief overview of random forest classification technique. Business Benefit: The predictive model will help us identify whether a customer fails to repay the loan depending on certain factors, which would lead to easier identification of risky customers and help the bank avert the risk delinquencies.

Data Discovery 130

Data Discovery Banking Business Intelligence Business Intelligence 130

ElegantJ BI

AUGUST 10, 2018

This article provides a brief explanation of the KMeans Clustering algorithm. Loan applicants in a bank might be grouped as low, medium, and high risk applicants based on applicant age, annual income, employment tenure, loan amount, the number of times a payment is delinquent etc. What is the KMeans Clustering algorithm?

Data Discovery 130

Data Discovery Banking Business Intelligence Business Intelligence 130

ElegantJ BI

AUGUST 10, 2018

This article provides a brief explanation of the KMeans Clustering algorithm. Loan applicants in a bank might be grouped as low, medium, and high risk applicants based on applicant age, annual income, employment tenure, loan amount, the number of times a payment is delinquent etc. What is the KMeans Clustering algorithm?

Data Discovery 130

Data Discovery Banking Business Intelligence Business Intelligence 130

ElegantJ BI

AUGUST 10, 2018

This article provides a brief explanation of the KMeans Clustering algorithm. Loan applicants in a bank might be grouped as low, medium, and high risk applicants based on applicant age, annual income, employment tenure, loan amount, the number of times a payment is delinquent etc. What is the KMeans Clustering algorithm?

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Banking 130

Argon Digital

MARCH 27, 2024

This robust, unified, solution manages hundreds of millions of dollars in yearly transactions and spans several international regions and partner bank integrations with distinct financial rulesets and compliance structures. A partner bank that will host your account and transact over the Automated Clearing House (ACH) network.

Banking 105

Banking Finance Data Security Documentation 105

ElegantJ BI

OCTOBER 17, 2018

This article explains the Karl Pearson Correlation method of analysis, and how it can be applied in business. Business Problem: A bank wants to find the correlation between income and credit card delinquency rate of credit card holders. What is the Karl Pearson Correlation Analytical Technique?

Data Discovery 130

Data Discovery Banking Business Intelligence Business Intelligence 130

ElegantJ BI

DECEMBER 14, 2021

In this article, we discuss four critical features to consider when integrating analytics with Tally ERP. Designed for Business Users The tools you provide for your business users should include Augmented Analytics, Business Intelligence and Reporting Integrated with the Tally ERP solution for easy access and intuitive use.

Finance 130

Finance Business Intelligence Business Intelligence Banking 130

ElegantJ BI

OCTOBER 17, 2018

This article explains the Karl Pearson Correlation method of analysis, and how it can be applied in business. Business Problem: A bank wants to find the correlation between income and credit card delinquency rate of credit card holders. What is the Karl Pearson Correlation Analytical Technique?

Data Discovery 130

Data Discovery Banking Business Intelligence Business Intelligence 130

ElegantJ BI

DECEMBER 14, 2021

In this article, we discuss four critical features to consider when integrating analytics with Tally ERP. Designed for Business Users The tools you provide for your business users should include Augmented Analytics, Business Intelligence and Reporting Integrated with the Tally ERP solution for easy access and intuitive use.

Finance 130

Finance Business Intelligence Business Intelligence Banking 130