ElegantJ BI

JANUARY 21, 2019

Financial Services, Banking, Insurance and other finance-related industries are always working with numbers, statistics and data. Banking, financial services and insurance industries are sophisticated and complex and they are subject to significant regulation. These types of businesses generate mountains of data.

Planning 130

Planning Banking Finance Business Intelligence 130

ElegantJ BI

JULY 28, 2014

Every enterprise, including small and medium sized companies, understands the value of business intelligence. With minimal training, and a personalized dashboard environment that will flex to the role and needs of the user, every employee can monitor and manage information and contribute to the bottom line.

Business Intelligence 130

Business Intelligence Business Intelligence Banking Documentation 130

ElegantJ BI

SEPTEMBER 9, 2021

Use Case – 2 Business Problem: Predicting diamond prices using basic measurement metrics. 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 130

Data Discovery Banking Business Intelligence Business Intelligence 130

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 130

Data Discovery Banking Business Intelligence Business Intelligence 130

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 130

Data Discovery Banking Business Intelligence Business Intelligence 130

ElegantJ BI

JULY 28, 2014

Every enterprise, including small and medium sized companies, understands the value of business intelligence. With minimal training, and a personalized dashboard environment that will flex to the role and needs of the user, every employee can monitor and manage information and contribute to the bottom line.

Business Intelligence 100

Business Intelligence Business Intelligence Banking Documentation 100

ElegantJ BI

JULY 28, 2014

Every enterprise, including small and medium sized companies, understands the value of business intelligence. With minimal training, and a personalized dashboard environment that will flex to the role and needs of the user, every employee can monitor and manage information and contribute to the bottom line.

Business Intelligence 100

Business Intelligence Business Intelligence Banking Documentation 100

ElegantJ BI

SEPTEMBER 19, 2021

Business Use Case 2 Business Problem: Predict quality of Red Wine. 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 130

Data Discovery Banking Business Intelligence Business Intelligence 130

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 130

Data Discovery Banking Business Intelligence Business Intelligence 130

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 130

Data Discovery Banking Business Intelligence Business Intelligence 130

ElegantJ BI

JUNE 21, 2017

Most organisations have implemented analytics or business intelligence solutions when they were replacing a reporting solution. While analytics is used for many things from descriptive, monitoring, predictive, diagnostic to prescriptive analytics, for putting Analytics in ?? ??? , Monitoring is simple, necessary and effective.

Monitoring 204

Monitoring Logistics Business Intelligence Business Intelligence 204

ElegantJ BI

NOVEMBER 3, 2022

‘By integrating analytics within the Tally ERP environment and providing out-of-the-box reporting and results, the business can provide tools that ensure fact-based decision-making, get to the root of problems, and identify opportunities for growth.’

Finance 130

Finance Banking Business Intelligence Business Intelligence 130

ElegantJ BI

NOVEMBER 3, 2022

‘By integrating analytics within the Tally ERP environment and providing out-of-the-box reporting and results, the business can provide tools that ensure fact-based decision-making, get to the root of problems, and identify opportunities for growth.’

Finance 130

Finance Banking Business Intelligence Business Intelligence 130

ElegantJ BI

NOVEMBER 3, 2022

‘By integrating analytics within the Tally ERP environment and providing out-of-the-box reporting and results, the business can provide tools that ensure fact-based decision-making, get to the root of problems, and identify opportunities for growth.’. Providing Sophisticated, Clear Reporting.

Finance 130

Finance Banking Business Intelligence Business Intelligence 130

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 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

Credit/Loan Approval Analysis – Given a list of client transactional attributes, the business can predict whether a client will default on a bank loan. Fraud Analysis – Based on various bills submitted for reimbursement by an employee for food, travel, and other expense a business can predict the likelihood of fraud.

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 18, 2018

Credit/Loan Approval Analysis – Given a list of client transactional attributes, the business can predict whether a client will default on a bank loan. Fraud Analysis – Based on various bills submitted for reimbursement by an employee for food, travel, and other expense a business can predict the likelihood of fraud.

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

Bintelligence

JANUARY 12, 2021

Business Intelligence Group Announces the Winners of the 2021 BIG Innovation Awards. Philadelphia, PA—January 12, 2021—Today, the Business Intelligence Group named seven executives, 52 companies, and 137 products as leaders and winners of the 2021 BIG Innovation Awards.

Innovation 96

Innovation Healthcare Banking Business Intelligence 96

ElegantJ BI

OCTOBER 16, 2018

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. Let’s take a closer look at an example of classification tree analysis.

Banking 130

Banking Retail Data Discovery Business Intelligence 130

ElegantJ BI

OCTOBER 16, 2018

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. Let’s take a closer look at an example of classification tree analysis.

Banking 130

Banking Retail Data Discovery Business Intelligence 130

ElegantJ BI

APRIL 18, 2022

But, in today’s competitive environment, the do-more-with-less approach is rampant and accountants, finance professionals, inventory managers, purchasing managers and other finance-related professionals find it increasingly difficult to manage the data and monitor it in a way that provides value to clients and colleagues.

Finance 130

Finance Banking Monitoring Business Intelligence 130

ElegantJ BI

APRIL 18, 2022

But, in today’s competitive environment, the do-more-with-less approach is rampant and accountants, finance professionals, inventory managers, purchasing managers and other finance-related professionals find it increasingly difficult to manage the data and monitor it in a way that provides value to clients and colleagues. BANK & CASH.

Finance 130

Finance Banking Monitoring Business Intelligence 130

ElegantJ BI

OCTOBER 16, 2018

How Can SVM Classification Analysis Benefit Business Analytics? Let’s examine two business use cases where SVM Classification can benefit the organization. Business Benefit: Once classes are assigned, the bank will have a loan applicant dataset with each applicant labeled as “likely/unlikely to default”.

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 16, 2018

How Can SVM Classification Analysis Benefit Business Analytics? Let’s examine two business use cases where SVM Classification can benefit the organization. Business Benefit: Once classes are assigned, the bank will have a loan applicant dataset with each applicant labeled as “likely/unlikely to default”.

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

MAY 16, 2019

Banks and other lenders spend a lot of time and energy trying to identify the perfect profile for a borrower so they can make the right decision and avoid costly loan defaults and the expense and resources required to take legal action.

Predictive Analytics 130

Predictive Analytics Banking Monitoring Planning 130

ElegantJ BI

MAY 16, 2019

Banks and other lenders spend a lot of time and energy trying to identify the perfect profile for a borrower so they can make the right decision and avoid costly loan defaults and the expense and resources required to take legal action.

Predictive Analytics 130

Predictive Analytics Banking Monitoring Planning 130

ElegantJ BI

MAY 13, 2019

While one may think of fraud most commonly associated with financial and banking organizations or IT functions or networks, industries like healthcare, government and public sector are also at risk. Use Predictive Modeling and Predictive Analytics to create a profile of fraud risk and to manage and monitor fraud.

Predictive Analytics 130

Predictive Analytics Supply Chain Monitoring Healthcare 130

ElegantJ BI

MAY 13, 2019

While one may think of fraud most commonly associated with financial and banking organizations or IT functions or networks, industries like healthcare, government and public sector are also at risk. Use Predictive Modeling and Predictive Analytics to create a profile of fraud risk and to manage and monitor fraud.

Predictive Analytics 130

Predictive Analytics Supply Chain Monitoring Healthcare 130

ElegantJ BI

JUNE 21, 2017

Most organisations have implemented analytics or business intelligence solutions when they were replacing a reporting solution. Monitoring is simple, necessary and effective. Make an investment in monitoring your fitness. Yes, and that is the reason we write about it. This is 2001 stuff!

Monitoring 130

Monitoring Logistics Business Intelligence Business Intelligence 130

ElegantJ BI

JUNE 21, 2017

Most organisations have implemented analytics or business intelligence solutions when they were replacing a reporting solution. Monitoring is simple, necessary and effective. Make an investment in monitoring your fitness. Yes, and that is the reason we write about it. This is 2001 stuff!

Monitoring 130

Monitoring Logistics 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. 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 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. 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 130

Data Discovery Banking Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 18, 2018

a business can predict the likelihood of fraud. 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

a business can predict the likelihood of fraud. 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