ElegantJ BI

JULY 6, 2011

ElegantJ BI sponsors a Business Intelligence Conference event as the Silver Partner , organized. This BI conference will be focusing on Business Intelligence aspects with two tracks – Track I is Technical and Track II is Customer Business Value. by Silicon India on 30th July 2011 at Bangalore from 8:00 a.m.

Business Intelligence 100

Business Intelligence Business Intelligence Banking Retail 100

The BAWorld

NOVEMBER 5, 2024

Business Analytics is defined as the scientific process of transforming data into insights for making better decisions and predict the outcome for the business. Any form of analytics starts with the collection of data and developing a model to summarize and create visual patterns for better understanding.

Big Data 98

Big Data Data Mining Data Analytics Data Analytics 98

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 162

Banking Retail Data Discovery Business Intelligence 162

ElegantJ BI

JULY 8, 2021

With SmartenApps for Tally, business users can access Tally ERP Solutions data on iOS or Android via mobile application or web portal via browser-based access to display dashboards, KPIs, reports and more! And the app provides the value of analytics integration and fact-based decision-making with rapid start-up and timely access to support.’

Banking 130

Banking Business Intelligence Business Intelligence Visualization 130

ElegantJ BI

JULY 8, 2021

With SmartenApps for Tally, business users can access Tally ERP Solutions data on iOS or Android via mobile application or web portal via browser-based access to display dashboards, KPIs, reports and more! And the app provides the value of analytics integration and fact-based decision-making with rapid start-up and timely access to support.’.

Banking 130

Banking Business Intelligence Business Intelligence Visualization 130

ElegantJ BI

AUGUST 11, 2017

The ElegantJ BI business intelligence solution is powered by unique Managed Memory Computing and the Smarten approach to advanced data analytics. Its customers include well-renowned entities in banking, life and general insurance and non-banking finance companies in India.

Data Discovery 130

Data Discovery Banking Business Intelligence Business Intelligence 130

ElegantJ BI

AUGUST 11, 2017

The ElegantJ BI business intelligence solution is powered by unique Managed Memory Computing and the Smarten approach to advanced data analytics. Its customers include well-renowned entities in banking, life and general insurance and non-banking finance companies in India.

Data Discovery 130

Data Discovery Banking Business Intelligence Business Intelligence 130

ElegantJ BI

AUGUST 14, 2018

Frequent pattern mining (previously known as Association) is an analytical algorithm that is used by businesses and, is accessible in some self-serve business intelligence solutions. The business can develop promotions and offers, e.g., “Buy this and get this free” or “Buy this and get % off on another product”.

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

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 130

Logistics Banking Data Discovery Business Intelligence 130

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 130

Banking Data Discovery Business Intelligence Business Intelligence 130

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 195

Banking Logistics Finance Planning 195

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 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

ElegantJ BI

AUGUST 14, 2018

Frequent pattern mining (previously known as Association) is an analytical algorithm that is used by businesses and, is accessible in some self-serve business intelligence solutions. The business can develop promotions and offers, e.g., “Buy this and get this free” or “Buy this and get % off on another product”.

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

AUGUST 14, 2018

Frequent pattern mining (previously known as Association) is an analytical algorithm that is used by businesses and, is accessible in some self-serve business intelligence solutions. The business can develop promotions and offers, e.g., “Buy this and get this free” or “Buy this and get % off on another product”.

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

MARCH 6, 2016

ElegantJ BI, a leader in Business Intelligence and Corporate Performance Management solutions, is pleased to announce that its suite of Business Intelligence and performance management tools was listed as a representative vendor in the Gartner ‘Market Guide for Enterprise-Reporting-Based Platforms,’ published in February 2016.

Business Intelligence 130

Business Intelligence Business Intelligence Logistics Data Discovery 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

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

SEPTEMBER 9, 2021

Use Case – 2 Business Problem: Predicting diamond prices using basic measurement metrics. The Smarten approach to data discovery is designed as an augmented analytics solution to serve business users. Original Post: What is Isotonic Regression and How Can a Business Utilize it to Analyze Data?

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.

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

DECEMBER 6, 2021

With built-in analytics that offer out-of-the-box reporting you can manage sales, purchasing, payables and receivables, income and expenses, cash and bank, duties and taxes, monthly trends and other categories and factors, using top to bottom analysis, contribution analysis and key performance indicators (KPIs) so you are managing with facts.

Banking 130

Banking Finance Business Intelligence Business Intelligence 130

ElegantJ BI

DECEMBER 6, 2021

With built-in analytics that offer out-of-the-box reporting you can manage sales, purchasing, payables and receivables, income and expenses, cash and bank, duties and taxes, monthly trends and other categories and factors, using top to bottom analysis, contribution analysis and key performance indicators (KPIs) so you are managing with facts.

Banking 130

Banking Finance Business Intelligence Business Intelligence 130

ElegantJ BI

DECEMBER 6, 2021

With built-in analytics that offer out-of-the-box reporting you can manage sales, purchasing, payables and receivables, income and expenses, cash and bank, duties and taxes, monthly trends and other categories and factors, using top to bottom analysis, contribution analysis and key performance indicators (KPIs) so you are managing with facts.

Banking 130

Banking Finance Business Intelligence Business Intelligence 130

ElegantJ BI

JUNE 9, 2021

But, today every team member is expected to contribute to business direction, problem solving and leveraging of opportunities and the accounting and financial world is no exception.

Business Intelligence 130

Business Intelligence Business Intelligence Banking Visualization 130

ElegantJ BI

JUNE 9, 2021

But, today every team member is expected to contribute to business direction, problem solving and leveraging of opportunities and the accounting and financial world is no exception.

Business Intelligence 130

Business Intelligence Business Intelligence Banking Visualization 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

OCTOBER 18, 2018

Business Benefit: Based on the rules generated, the store manager can strategically place the products together or in sequence leading to growth in sales and, in turn, revenue of the store. Business Problem: A bank-marketing manager wishes to analyze which products are frequently and sequentially bought together.

Business Analysis 130

Business Analysis Business Analysis Banking Data Discovery 130

ElegantJ BI

AUGUST 10, 2018

In order to understand how best to make use of this algorithm; let’s look at some general examples, followed by some business use cases. Business Benefit: The business marketing team can focus on risky customer segments in an efficient way in order to avoid losing those customers. Use Case – 2.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Banking 130

ElegantJ BI

DECEMBER 14, 2021

Designed for Business Users The tools you provide for your business users should include Augmented Analytics, Business Intelligence and Reporting Integrated with the Tally ERP solution for easy access and intuitive use. Accessible from Within and Outside the Office Today’s team members often work outside the office.

Finance 130

Finance Business Intelligence Business Intelligence Banking 130