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 130

Logistics Banking Data Discovery Business Intelligence 130

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 130

Banking Data Discovery Business Intelligence Business Intelligence 130

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 130

Banking Data Discovery Business Intelligence Business Intelligence 130

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 130

Banking Data Discovery Business Intelligence Business Intelligence 130

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 130

Banking Data Discovery Business Intelligence Business Intelligence 130

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 130

Banking Retail Data Discovery Business Intelligence 130

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 130

Banking Retail Data Discovery Business Intelligence 130

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 130

Banking Data Discovery Business Intelligence Business Intelligence 130

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 130

Banking Data Discovery Business Intelligence Business Intelligence 130

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 130

Banking Data Discovery Business Intelligence Business Intelligence 130

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 130

Banking Data Discovery Business Intelligence Business Intelligence 130

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 130

Business Analysis Business Analysis Banking Data Discovery 130

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 130

Business Analysis Business Analysis Banking Data Discovery 130

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 130

Data Discovery Banking Business Intelligence Business Intelligence 130

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 130

Data Discovery Banking Business Intelligence Business Intelligence 130

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 130

Banking Data Discovery Business Intelligence Business Intelligence 130

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 130

Banking Data Discovery Business Intelligence Business Intelligence 130

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 130

Data Discovery Banking Business Intelligence Business Intelligence 130

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 130

Data Discovery Banking Business Intelligence Business Intelligence 130

Marutitech

JULY 27, 2022

The ability to make online transactions without the hassle of physically visiting a bank or money deposit location has made app development very profitable. EveryDollar : EveryDollar provides users with a visual inspection of their income and expenses to analyze and manage their finances quickly. Data Visualization.

Finance 52

Finance Banking Monitoring Visualization 52

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. How Can the Chi Square Test of Association Be Used for Business Analysis?

Data Discovery 130

Data Discovery Retail Banking Business Intelligence 130

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. How Can the Chi Square Test of Association Be Used for Business Analysis?

Data Discovery 130

Data Discovery Retail Banking Business Intelligence 130

The BAWorld

NOVEMBER 12, 2020

Tableau is the leading Data visualization and Business Intelligence tool and is placed as the leader in the Gartner magic quadrant 2020. When we access different websites, shop online, send emails, access social media, and spend so much of our time browsing on our laptops and mobiles, we are generating data in exabytes ( bytes)!

Visualization 98

Visualization Monitoring Business Intelligence Business Intelligence 98

Sisense

MAY 27, 2019

You’ve got a strong bank of existing customers whose business you can grow. At the core of data scientists’ work is BI, analytics, and data visualization. Good data science candidates should be conversant with a range of these tools such as D3 with JavaScript, among others. Let’s paint a happy picture.

Skillset 75

Skillset Cloud Computing Big Data Visualization 75

Data Pine

APRIL 14, 2022

“You can have data without information, but you cannot have information without data.” – Daniel Keys Moran. When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. The best examples of big data can be found both in the public and private sectors.

Big Data 97

Big Data Healthcare Customer Experience Customer Experience 97

ElegantJ BI

JULY 10, 2018

Use Case(s): Determine if a product sells better in certain locations, verify if gender has an influence on purchasing decisions, Identify if demographic factors influence banking channel/product/service preference or selection of a type of term insurance plan and more.

Logistics 130

Logistics Data Discovery Business Analysis Business Analysis 130

ElegantJ BI

JULY 10, 2018

Use Case(s): Determine if a product sells better in certain locations, verify if gender has an influence on purchasing decisions, Identify if demographic factors influence banking channel/product/service preference or selection of a type of term insurance plan and more.

Logistics 130

Logistics Data Discovery Business Analysis Business Analysis 130

Domo

SEPTEMBER 2, 2016

From enterprise to SMB, today’s business leaders use a preponderance of systems and channels to monitor and manage operations, including accounting. The app displays net income, company bank accounts, top-10 customer balances, top-10 vendor balances, top customers, and top products or services.

Banking 52

Banking Monitoring Planning Data Visualization 52

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 111

Artificial Intelligence Vision Banking Retail 111

Data Pine

AUGUST 12, 2020

This is where the need to use a report tool and monitor when all of these little and big changes arise: knowing what is happening in your business is key to keep it afloat and be prepared to face any transformation or drastic shift. Let’s get started. Your Chance: Want to test professional business reporting software?

Retail 119

Retail Visualization Data Visualization Finance 119

Data Pine

JULY 1, 2020

Moreover, a host of ad hoc analysis or reporting platforms boast integrated online data visualization tools to help enhance the data exploration process. Data visualization capabilities. Data visualization helps in understanding larger or smaller volumes of data much faster than a written or spoken word.

Retail 104

Retail Healthcare Visualization Business Intelligence 104