Banking, Data Visualization and Visualization

How Big Data Impacts The Finance And Banking Industries

Smart Data Collective

SEPTEMBER 17, 2020

Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. In this modern age, each business entity is driven by data. Data analytics are now very crucial whenever there is a decision-making process involved. The Role of Big Data. The Underlying Concept.

Banking

Banking Big Data Finance IBM Maintenance

What, Why, and How of Data Visualization

The BAWorld

AUGUST 15, 2021

Data Visualization. Did you know visualization has been in use since (and well before that as well) 1824 AD to develop an Egyptian map – the Turin Papyrus Map. With the overwhelming volume and rate at which data grows, it is almost impossible to do it without visual help. Creating Good Visualizations.

Data Visualization

Data Visualization Visualization Healthcare Project Management

10 Tips to Visualize Data Like a Pro

Juice Analytics

AUGUST 25, 2021

Have you nailed all the data visualization basics? You confidently pick the right kind of chart based on what you want to emphasize in the data; ?You But what does it take to get your visualizations to the next level? Bold colors with inverted text color Readability in your data visualizations is critical.

Visualization

Visualization Banking Data Visualization Digital

Webinars

From Failure to Forecasting: Smarter M&A Strategies

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4 Ways Big Data Systems Are Informing The Fight Against COVID-19

Smart Data Collective

SEPTEMBER 21, 2020

Generally derived from conventional SQL databases, graph databases convert SQL information using GraphQL and allow users to better visualize relationships between individual data points. If there is a vaccine in the next few months, it will be due to effective virus and vaccine models derived from huge data banks.

Big Data

Big Data Artificial Intelligence Banking Visualization

Addressing the importance of data and visualization skills in health and healthcare fields

Tableau

JANUARY 26, 2022

According to the National Institutes of Health (NIH), “Data visualization is becoming an increasingly common method of presenting large and complex data sets, but the principles of visual communication are not widely understood or practiced.” Homepage of Health and Healthcare Data Visualization course in Canvas.

Healthcare

Healthcare Visualization Data Visualization Design Thinking

Addressing the importance of data and visualization skills in health and healthcare fields

Tableau

JANUARY 26, 2022

According to the National Institutes of Health (NIH), “Data visualization is becoming an increasingly common method of presenting large and complex data sets, but the principles of visual communication are not widely understood or practiced.” Homepage of Health and Healthcare Data Visualization course in Canvas.

Healthcare

Healthcare Visualization Data Visualization Design Thinking

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

Why do Business Analysts need to learn Data visualization skills?

The BAWorld

SEPTEMBER 29, 2020

But why Data visualization? In this article, I am going to examine Why do Business Analysts need to learn Data visualization skills? This report suggests that, in 2020, the job requirements for data science and analytics is projected to boom to by 364,000 openings to 2,720,000. Visualizations help in finding out.

Data Visualization

Data Visualization Visualization Banking Healthcare

Whose job is it anyway?

ElegantJ BI

JUNE 13, 2017

We have people who deal with banks, customers and systems. I remember years ago the union of the Communist Party of India in the Public Sector Banks in India went on strike against computerization. If you look at the shape of banking today, we can eventually look at only decision makers sitting at the front desk.

Banking

Banking Logistics Finance Planning

Data Science Journey Walkthrough – From Beginner to Expert

Smart Data Collective

JUNE 4, 2021

Basic knowledge of statistics is essential for data science. Statistics is broadly categorized into two types – Descriptive statistics – Descriptive statistics is describing the data. Visual graphs are the core of descriptive statistics. Suppose a credit card transaction of an American citizen happens in India.

E-Commerce

E-Commerce Cloud Computing Big Data Data Modelling

Exploratory Data Analysis using Data Visualization Techniques!

The BAWorld

NOVEMBER 22, 2021

We can define exploratory data analysis as the essential data investigation process before the formal analysis to spot patterns and anomalies, discover trends, and test hypotheses with summary statistics and visualizations. It gives an idea about the data we will be digging deep into while analyzing. Bar charts.

Data Visualization

Data Visualization Visualization Banking Business Analysis

Exploratory Data Analysis using Data Visualization Techniques!

The BAWorld

NOVEMBER 22, 2021

We can define exploratory data analysis as the essential data investigation process before the formal analysis to spot patterns and anomalies, discover trends, and test hypotheses with summary statistics and visualizations. It gives an idea about the data we will be digging deep into while analyzing. Bar charts.

Data Visualization

Data Visualization Visualization Banking Business Analysis

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

ElegantJ BI

OCTOBER 17, 2018

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. Use Case – 1.

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

ElegantJ BI

OCTOBER 16, 2018

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. Use Case – 2.

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 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., Use Case – 1.

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

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 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.

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 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

Building a Data Science career without coding

The BAWorld

JULY 22, 2024

Data Visualization Specialist/Designer These experts convey trends and insights through visual data. Data Visualization Specialist/Designer These experts convey trends and insights through visual data. Such visuals simplify complex data, aiding businesses and stakeholders to comprehend easily.

IBM Maintenance

IBM Maintenance Data Governance Data Quality Government

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 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 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

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? Use Case – 1.

Banking

Banking Data Discovery Business Intelligence Business Intelligence

Feeding America: Addressing systemic racism’s impact on food insecurity through data viz

Tableau

MAY 17, 2021

What started out as Excel sheets and early prototypes being shared across the organization has grown into a powerful data visualization tool designed to support our work for racial equity at Feeding America, the efforts of food banks in our network, and the knowledge building of anti-hunger advocates and data learners across the country.

Banking

Banking Visualization Data Visualization Data Analytics

Announcing new Tableau Data Literacy curriculum for higher education

Tableau

JANUARY 8, 2021

Learn what Tableau offers instructors with our data literacy courses. These two data literacy courses aim to provide foundational knowledge to students so they can understand, explore, and effectively visualize and communicate with data. This course covers: Data design principles.

Visualization

Visualization Data Visualization Banking

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

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.

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.

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

ElegantJ BI

OCTOBER 18, 2018

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. Use Case – 2.

Business Analysis

Business Analysis Business Analysis Banking Data Discovery

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 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. Use Case – 2.

Data Discovery

Data Discovery Business Intelligence Business Intelligence Banking

How Big Data Impacts The Finance And Banking Industries

What, Why, and How of Data Visualization

Webinars

Trending Sources

10 Tips to Visualize Data Like a Pro

Webinars

4 Ways Big Data Systems Are Informing The Fight Against COVID-19

Addressing the importance of data and visualization skills in health and healthcare fields

Addressing the importance of data and visualization skills in health and healthcare fields

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

Why do Business Analysts need to learn Data visualization skills?

Whose job is it anyway?

Data Science Journey Walkthrough – From Beginner to Expert

Exploratory Data Analysis using Data Visualization Techniques!

Exploratory Data Analysis using Data Visualization Techniques!

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 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 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 KNN Classification and How Can This Analysis Help an Enterprise?

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

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?

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

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?

Building a Data Science career without coding

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

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 SVM Classification Analysis and How Can It Benefit Business Analytics?

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

Feeding America: Addressing systemic racism’s impact on food insecurity through data viz

Announcing new Tableau Data Literacy curriculum for higher education

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 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 Frequent Pattern Mining (Association) and How Does it Support Business 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 KMeans Clustering Algorithm and How Does an Enterprise Use it to Analyze Data?

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