Banking, Data Discovery and Monitoring - Business Analysis Digest

What is Isotonic Regression and How Can a Business Utilize it to Analyze Data?

ElegantJ BI

SEPTEMBER 9, 2021

About Smarten The Smarten approach to augmented analytics and modern business intelligence focuses on the business user and provides tools for Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Data Discovery

Data Discovery Banking Business Intelligence Business Intelligence

What is Isotonic Regression and How Can a Business Utilize it to Analyze Data?

ElegantJ BI

SEPTEMBER 9, 2021

Business Benefit: Loan applicant’s can discover what predictors can lead towards the required loan amount to be eligible for further proceedings in turn ensuring systematic banking approach and also assist banks to check the loan eligibility criteria before sanctioning a loan to the applicant. Use Case – 2. About Smarten.

Data Discovery

Data Discovery Banking Business Intelligence Business Intelligence

What is Isotonic Regression and How Can a Business Utilize it to Analyze Data?

ElegantJ BI

SEPTEMBER 9, 2021

Business Benefit: Loan applicant’s can discover what predictors can lead towards the required loan amount to be eligible for further proceedings in turn ensuring systematic banking approach and also assist banks to check the loan eligibility criteria before sanctioning a loan to the applicant. Business Use Case – Agriculture.

Data Discovery

Data Discovery Banking Business Intelligence Business Intelligence

What Is Random Forest Classification And How Can It Help Your Business?

ElegantJ BI

SEPTEMBER 19, 2021

The data is a result of analysis to determine the quality of the red wine based upon chemicals it consists of. These tools are designed for business users with average skills and require no specialized knowledge of statistical analysis or support from IT or data scientists.

Data Discovery

Data Discovery Banking Business Intelligence Business Intelligence

What Is Random Forest Classification And How Can It Help Your Business?

ElegantJ BI

SEPTEMBER 19, 2021

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. Business Use Case 2. Business Problem: Predict quality of Red Wine. About Smarten.

Data Discovery

Data Discovery Banking Business Intelligence Business Intelligence

What Is Random Forest Classification And How Can It Help Your Business?

ElegantJ BI

SEPTEMBER 19, 2021

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. Business Use Case 2. Business Problem: Predict quality of Red Wine. About Smarten.

Data Discovery

Data Discovery Banking Business Intelligence Business Intelligence

What is Binary Logistic Regression Classification and How is it Used in Analysis?

ElegantJ BI

OCTOBER 17, 2018

Use Case – 1 Business Problem: A bank loans officer wants to predict if loan applicants will be a bank defaulter or non defaulter based on attributes such as loan amount, monthly installments, employment tenure, how many times has the applicant been delinquent, annual income, debt to income ratio etc.

Logistics

Logistics Banking Data Discovery Business Intelligence

What is Binary Logistic Regression Classification and How is it Used in Analysis?

ElegantJ BI

OCTOBER 17, 2018

Use Case – 1 Business Problem: A bank loans officer wants to predict if loan applicants will be a bank defaulter or non defaulter based on attributes such as loan amount, monthly installments, employment tenure, how many times has the applicant been delinquent, annual income, debt to income ratio etc.

Logistics

Logistics Banking Data Discovery Business Intelligence

What is Hierarchical Clustering and How Can an Organization Use it to Analyze Data?

ElegantJ BI

OCTOBER 16, 2018

Use Case – 1 Business Problem: A bank wants to group loan applicants into high/medium/low risk based on attributes such as loan amount, monthly installments, employment tenure, the number of times the applicant has been delinquent in other payments, annual income, debt to income ratio etc.

Banking

Banking Data Discovery Business Intelligence Business Intelligence

What is Hierarchical Clustering and How Can an Organization Use it to Analyze Data?

ElegantJ BI

OCTOBER 16, 2018

Use Case – 1 Business Problem: A bank wants to group loan applicants into high/medium/low risk based on attributes such as loan amount, monthly installments, employment tenure, the number of times the applicant has been delinquent in other payments, annual income, debt to income ratio etc.

Banking

Banking Data Discovery Business Intelligence Business Intelligence

What is KNN Classification and How Can This Analysis Help an Enterprise?

ElegantJ BI

OCTOBER 18, 2018

KNN Classification analysis can be useful in evaluating many types of data. Credit/Loan Approval Analysis – Given a list of client transactional attributes, the business can predict whether a client will default on a bank loan. Weather Prediction – Based on temperature, humidity, pressure etc.,

Banking

Banking Data Discovery Business Intelligence Business Intelligence

What is KNN Classification and How Can This Analysis Help an Enterprise?

ElegantJ BI

OCTOBER 18, 2018

KNN Classification analysis can be useful in evaluating many types of data. Credit/Loan Approval Analysis – Given a list of client transactional attributes, the business can predict whether a client will default on a bank loan. Weather Prediction – Based on temperature, humidity, pressure etc.,

Banking

Banking Data Discovery Business Intelligence Business Intelligence

What is the Decision Tree Analysis and How Does it Help a Business to Analyze Data?

ElegantJ BI

OCTOBER 16, 2018

Let’s look at two examples: Based on the historical data related to credit card payments, loan payments, delinquency rate, outstanding balance we want to classify/divide the customers into those who default and those who do not default. a bank needs to classify customers into those that will default and those that will not default.

Banking

Banking Retail Data Discovery Business Intelligence

What is the Decision Tree Analysis and How Does it Help a Business to Analyze Data?

ElegantJ BI

OCTOBER 16, 2018

Let’s look at two examples: Based on the historical data related to credit card payments, loan payments, delinquency rate, outstanding balance we want to classify/divide the customers into those who default and those who do not default. a bank needs to classify customers into those that will default and those that will not default.

Banking

Banking Retail Data Discovery Business Intelligence

What is SVM Classification Analysis and How Can It Benefit Business Analytics?

ElegantJ BI

OCTOBER 16, 2018

Use Case – 1 Business Problem: A bank loan officer wants to predict if the loan applicant will default on a loan, based attributes such as Loan amount, monthly payment installments, employment tenure, number of times delinquent, annual income, debt to income ratio etc. How Can SVM Classification Analysis Benefit Business Analytics?

Banking

Banking Data Discovery Business Intelligence Business Intelligence

What is SVM Classification Analysis and How Can It Benefit Business Analytics?

ElegantJ BI

OCTOBER 16, 2018

Use Case – 1 Business Problem: A bank loan officer wants to predict if the loan applicant will default on a loan, based attributes such as Loan amount, monthly payment installments, employment tenure, number of times delinquent, annual income, debt to income ratio etc. How Can SVM Classification Analysis Benefit Business Analytics?

Banking

Banking Data Discovery Business Intelligence Business Intelligence

What is FP Growth Analysis and How Can a Business Use Frequent Pattern Mining to Analyze Data?

ElegantJ BI

AUGUST 14, 2018

Use Case – 2 Business Problem: A bank marketing manager wishes to analyze which products are frequently and sequentially bought together. Business Benefit: Based on the rules generated, the organization can determine which banking products can be cross sold to each existing or prospective customer to drive sales and bank revenue.

Banking

Banking Data Discovery Business Intelligence Business Intelligence

What is FP Growth Analysis and How Can a Business Use Frequent Pattern Mining to Analyze Data?

ElegantJ BI

AUGUST 14, 2018

Use Case – 2 Business Problem: A bank marketing manager wishes to analyze which products are frequently and sequentially bought together. Business Benefit: Based on the rules generated, the organization can determine which banking products can be cross sold to each existing or prospective customer to drive sales and bank revenue.

Banking

Banking Data Discovery Business Intelligence Business Intelligence

What is Karl Pearson Correlation Analysis and How Can it be Used for Enterprise Analysis Needs?

ElegantJ BI

OCTOBER 17, 2018

Business Problem: A bank wants to find the correlation between income and credit card delinquency rate of credit card holders. Input Data: The delinquency rate of each credit card customer and the monthly income of each credit card customer. How Can the Karl Pearson Correlation Method Be Used to Target Enterprise Analytical Needs?

Data Discovery

Data Discovery Banking Business Intelligence Business Intelligence

What is Karl Pearson Correlation Analysis and How Can it be Used for Enterprise Analysis Needs?

ElegantJ BI

OCTOBER 17, 2018

Business Problem: A bank wants to find the correlation between income and credit card delinquency rate of credit card holders. Input Data: The delinquency rate of each credit card customer and the monthly income of each credit card customer. How Can the Karl Pearson Correlation Method Be Used to Target Enterprise Analytical Needs?

Data Discovery

Data Discovery Banking Business Intelligence Business Intelligence

What is Frequent Pattern Mining (Association) and How Does it Support Business Analysis?

ElegantJ BI

OCTOBER 18, 2018

Use Case – 2 Business Problem: A bank-marketing manager wishes to analyze which products are frequently and sequentially bought together. Business Benefit: Based on the rules generated, banking products can be cross-sold to each existing or prospective customer to drive sales and bank revenue.

Business Analysis

Business Analysis Business Analysis Banking Data Discovery

What is Frequent Pattern Mining (Association) and How Does it Support Business Analysis?

ElegantJ BI

OCTOBER 18, 2018

Use Case – 2 Business Problem: A bank-marketing manager wishes to analyze which products are frequently and sequentially bought together. Business Benefit: Based on the rules generated, banking products can be cross-sold to each existing or prospective customer to drive sales and bank revenue.

Business Analysis

Business Analysis Business Analysis Banking Data Discovery

What is Naïve Bayes Classification and How is it Used for Enterprise Analysis?

ElegantJ BI

OCTOBER 18, 2018

Use Case – 1 Business Problem: A bank loans officer wants to predict if a loan applicant will be a bank defaulter or non defaulter based on attributes such as loan amount, monthly installment, employment tenure, the number of times delinquent, annual income, debt to income ratio etc.

Banking

Banking Data Discovery Business Intelligence Business Intelligence

What is Naïve Bayes Classification and How is it Used for Enterprise Analysis?

ElegantJ BI

OCTOBER 18, 2018

Use Case – 1 Business Problem: A bank loans officer wants to predict if a loan applicant will be a bank defaulter or non defaulter based on attributes such as loan amount, monthly installment, employment tenure, the number of times delinquent, annual income, debt to income ratio etc.

Banking

Banking Data Discovery Business Intelligence Business Intelligence

What is the KMeans Clustering Algorithm and How Does an Enterprise Use it to Analyze Data?

ElegantJ BI

AUGUST 10, 2018

How Does an Enterprise Use the KMeans Clustering Algorithm to Analyze Data? 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.

Data Discovery

Data Discovery Banking Business Intelligence Business Intelligence

What is the KMeans Clustering Algorithm and How Does an Enterprise Use it to Analyze Data?

ElegantJ BI

AUGUST 10, 2018

How Does an Enterprise Use the KMeans Clustering Algorithm to Analyze Data? 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.

Data Discovery

Data Discovery Banking Business Intelligence Business Intelligence

What is the Chi Square Test of Association and How Can it be Used for Analysis?

ElegantJ BI

OCTOBER 16, 2018

Finance – An organization might use this technique to Identify if demographic factors influence banking channel/product/service preference or selection of a type of term plan of an insurance etc. The Smarten approach to data discovery is designed as an augmented analytics solution to serve business users.

Data Discovery

Data Discovery Retail Banking Business Intelligence

What is the Chi Square Test of Association and How Can it be Used for Analysis?

ElegantJ BI

OCTOBER 16, 2018

Finance – An organization might use this technique to Identify if demographic factors influence banking channel/product/service preference or selection of a type of term plan of an insurance etc. The Smarten approach to data discovery is designed as an augmented analytics solution to serve business users.

Data Discovery

Data Discovery Retail Banking Business Intelligence

Augmented Analytics Algorithms and Techniques: Learning for Citizen Data Scientists

ElegantJ BI

JULY 10, 2018

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.

Logistics

Logistics Data Discovery Business Analysis Business Analysis

Augmented Analytics Algorithms and Techniques: Learning for Citizen Data Scientists

ElegantJ BI

JULY 10, 2018

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.

Logistics

Logistics Data Discovery Business Analysis Business Analysis

Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

Data Pine

NOVEMBER 19, 2019

Some more examples of AI applications can be found in various domains: in 2020 we will experience more AI in combination with big data in healthcare. Heart monitors, health monitors, and EEG signal processing algorithms are already on the research frontline. Blocks, meanwhile, are like individual bank statements.”.

Artificial Intelligence

Artificial Intelligence Vision Banking Retail

Business Analysis Digest

What is Isotonic Regression and How Can a Business Utilize it to Analyze Data?

What is Isotonic Regression and How Can a Business Utilize it to Analyze Data?

Trending Sources

What is Isotonic Regression and How Can a Business Utilize it to Analyze Data?

What Is Random Forest Classification And How Can It Help Your Business?

What Is Random Forest Classification And How Can It Help Your Business?

What Is Random Forest Classification And How Can It Help Your Business?

What is Binary Logistic Regression Classification and How is it Used in Analysis?

What is Binary Logistic Regression Classification and How is it Used in Analysis?

What is Hierarchical Clustering and How Can an Organization Use it to Analyze Data?

What is Hierarchical Clustering and How Can an Organization Use it to Analyze Data?

What is KNN Classification and How Can This Analysis Help an Enterprise?

What is KNN Classification and How Can This Analysis Help an Enterprise?

What is the Decision Tree Analysis and How Does it Help a Business to Analyze Data?

What is the Decision Tree Analysis and How Does it Help a Business to Analyze Data?

What is SVM Classification Analysis and How Can It Benefit Business Analytics?

What is SVM Classification Analysis and How Can It Benefit Business Analytics?

What is FP Growth Analysis and How Can a Business Use Frequent Pattern Mining to Analyze Data?

What is FP Growth Analysis and How Can a Business Use Frequent Pattern Mining to Analyze Data?

What is Karl Pearson Correlation Analysis and How Can it be Used for Enterprise Analysis Needs?

What is Karl Pearson Correlation Analysis and How Can it be Used for Enterprise Analysis Needs?

What is Frequent Pattern Mining (Association) and How Does it Support Business Analysis?

What is Frequent Pattern Mining (Association) and How Does it Support Business Analysis?

What is Naïve Bayes Classification and How is it Used for Enterprise Analysis?

What is Naïve Bayes Classification and How is it Used for Enterprise Analysis?

What is the KMeans Clustering Algorithm and How Does an Enterprise Use it to Analyze Data?

What is the KMeans Clustering Algorithm and How Does an Enterprise Use it to Analyze Data?

What is the Chi Square Test of Association and How Can it be Used for Analysis?

What is the Chi Square Test of Association and How Can it be Used for Analysis?

Augmented Analytics Algorithms and Techniques: Learning for Citizen Data Scientists

Augmented Analytics Algorithms and Techniques: Learning for Citizen Data Scientists

Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

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