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.
Smart Data Collective
SEPTEMBER 21, 2020
Databases and data visualization platforms have helped hospitals track and predict critical supply use patterns, which can mean the difference between enough ventilators or even enough ICU beds and a devastating shortage. Local Looks At Data. COVID-19 is being fought at many levels.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
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.
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.
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 Bold colors with inverted text color Readability in your data visualizations is critical. The (mostly) accepted theory is “banking 45º”. Stuff like… ?You
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.
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.
Expert insights. Personalized for you.
363 
Let's personalize your content