Analysts Corner

OCTOBER 31, 2023

Integrated Knowledge Bases — AI Midjourney generated image In this second article in the series, I will explore a possible path for AI advancement that must have a profound impact on our society: access to integrated knowledge bases. Banking sector : integrating credit information, accounts, and financial transactions.

Artificial Intelligence 246

Artificial Intelligence Monitoring Banking Healthcare 246

Smart Data Collective

JUNE 23, 2022

This article will list five fundamental focus areas for a business’ financial performance. Some budgeting tools will connect with your bank account and data mine information about your spending habits. This includes monitoring all ingoings and outgoings. Data analytics tools make it easier to take a deep dive into your finances.

Data Mining 321

Data Mining Finance Government Data Analytics 321

Smart Data Collective

MAY 4, 2023

UMass Global has a very insightful article on the growing relevance of big data in business. Examples include customer reviews, social media posts, medical records, and bank records. In this article, we’ll explore the importance of data gathering for businesses and how residential proxies can help improve the process.

Big Data 274

Big Data Data Mining Banking Digital 274

Smart Data Collective

MAY 7, 2023

This article will explore the records that a business needs to keep, how cloud advances have made record keeping easier than ever, and how businesses can take advantage of these advancements to ensure compliance with regulations. You may have to pay huge sums of money in fines for improper record keeping.

Cloud Computing 338

Cloud Computing Documentation Banking Government 338

Smart Data Collective

SEPTEMBER 2, 2021

Devise a cash management process for your business and train your staff on this procedure to guarantee that all employees understand the rule for all matters involving cash handling, including making bank deposits and using a Point Of Sale system. This is where data analytics can be most useful. How can big data help with cleaning?

Retail 334

Retail Big Data Data Analytics Data Analytics 334

ElegantJ BI

JUNE 21, 2017

While analytics is used for many things from descriptive, monitoring, predictive, diagnostic to prescriptive analytics, for putting Analytics in ?? ??? , the usual objective is monitoring and effective decision making. Monitoring is simple, necessary and effective. Make an investment in monitoring your fitness.

Monitoring 204

Monitoring Logistics Business Intelligence Business Intelligence 204

Smart Data Collective

APRIL 10, 2019

We have read many articles and watched the news about hackers breaking into websites of unsuspecting corporations and small businesses more and more often. That is what this article is going to explain. They will monitor the activity so that they can glean the patterns of the users. What is metadata and how is it used?

Banking 223

Banking Retail Monitoring Planning 223

Smart Data Collective

SEPTEMBER 9, 2019

Technical analysts try to monitor market trends and make accurate predictions. The Journal of Internet Banking and Commerce shows that AI has a lot of potential in this area and will be used in more trading accounts. Towards Data Science recently published an article on the intersection of technical analysis and AI.

Artificial Intelligence 232

Artificial Intelligence Banking Big Data Monitoring 232

Smart Data Collective

MAY 17, 2021

For example, when you’re reading a physical newspaper or a magazine, it’s impossible for the media company that owns the newspaper or magazine to monitor which pages you spent the most time reading and what type of articles you prefer. However, this can be easily tracked when you’re reading a digital version.

Digital 265

Digital User Experience Banking Monitoring 265

Smart Data Collective

FEBRUARY 24, 2022

The truth behind customer onboarding processes in many industries such as banks is relatively poor at managing and collecting consumer data. Many companies who use data analytics will usually use a standard analytics platform to monitor their marketing practices. Well, that’s about it for this article. Wrapping it up.

Data Analytics 312

Data Analytics Data Analytics Visualization User Experience 312

Modern Analyst

FEBRUARY 23, 2025

To guard against security threats, in this article, we provide business analysts an overview of the vulnerable detection approach as well as the methodology and its application on a corporate scale. Step 6: Monitor and Continuously Improve Regularly review and update threat models as business processes evolve.

Banking 64

Banking E-Commerce Cybersecurity Digital 64

Smart Data Collective

MAY 7, 2023

However, for the scope of this article, we want to focus on the benefits of using blockchain for cryptocurrency applications. Cryptocurrencies are also becoming attractive for official banking organizations. You also need to monitor all available platforms that provide cryptocurrency management carefully.

Digital 289

Digital Banking Finance Data Security 289

ElegantJ BI

OCTOBER 17, 2018

In this article, we will discuss the Binary Logistic Regression Classification method of analysis, and how it can be used in business. Business Benefit: Once classes are assigned, the bank will have a loan applicant dataset with each applicant labeled as “likely/unlikely to default. What is Binary Logistic Regression Classification?

Logistics 130

Logistics Banking Data Discovery Business Intelligence 130

ElegantJ BI

OCTOBER 17, 2018

In this article, we will discuss the Binary Logistic Regression Classification method of analysis, and how it can be used in business. Business Benefit: Once classes are assigned, the bank will have a loan applicant dataset with each applicant labeled as “likely/unlikely to default. What is Binary Logistic Regression Classification?

Logistics 130

Logistics Banking Data Discovery Business Intelligence 130

ElegantJ BI

OCTOBER 16, 2018

This article discusses the analytical method of Hierarchical Clustering and how it can be used within an organization for analytical purposes. Business Benefit: Once the segments are identified, the bank will have a loan applicants’ dataset with each applicant labeled as high/medium/low risk. What is Hierarchical Clustering?

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 16, 2018

This article discusses the analytical method of Hierarchical Clustering and how it can be used within an organization for analytical purposes. Business Benefit: Once the segments are identified, the bank will have a loan applicants’ dataset with each applicant labeled as high/medium/low risk. What is Hierarchical Clustering?

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 18, 2018

In this article, we will discuss the KNN Classification method of analysis. Credit/Loan Approval Analysis – Given a list of client transactional attributes, the business can predict whether a client will default on a bank loan. What is the KNN Classification Algorithm? It is useful for recognizing patterns and for estimating.

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 18, 2018

In this article, we will discuss the KNN Classification method of analysis. Credit/Loan Approval Analysis – Given a list of client transactional attributes, the business can predict whether a client will default on a bank loan. What is the KNN Classification Algorithm? It is useful for recognizing patterns and for estimating.

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 16, 2018

In this article, we will discuss the Decision Tree analysis method. 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.

Banking 130

Banking Retail Data Discovery Business Intelligence 130

ElegantJ BI

OCTOBER 16, 2018

In this article, we will discuss the Decision Tree analysis method. 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.

Banking 130

Banking Retail Data Discovery Business Intelligence 130

ElegantJ BI

SEPTEMBER 9, 2021

This article provides a brief overview of isotonic regression technique. What is Isotonic Regression? Isotonic Regression is a variant of linear regression and allows us to build models in piecewise linear manner i.e., breaking up the problem into few or many linear segments and performing linear interpolation of each function.

Data Discovery 130

Data Discovery Banking Business Intelligence Business Intelligence 130

ElegantJ BI

SEPTEMBER 9, 2021

This article provides a brief overview of isotonic regression technique. What is Isotonic Regression? Isotonic Regression is a variant of linear regression and allows us to build models in piecewise linear manner i.e., breaking up the problem into few or many linear segments and performing linear interpolation of each function. Use Case – 2.

Data Discovery 130

Data Discovery Banking Business Intelligence Business Intelligence 130

ElegantJ BI

SEPTEMBER 9, 2021

This article provides a brief overview of isotonic regression technique. What is Isotonic Regression? Isotonic Regression is a variant of linear regression and allows us to build models in piecewise linear manner i.e., breaking up the problem into few or many linear segments and performing linear interpolation of each function. Use Case – 2.

Data Discovery 130

Data Discovery Banking Business Intelligence Business Intelligence 130

ElegantJ BI

AUGUST 14, 2018

This article provides a brief explanation of the FP Growth technique of Frequent Pattern Mining. Use Case – 2 Business Problem: A bank marketing manager wishes to analyze which products are frequently and sequentially bought together. What is the FP Growth Algorithm?

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 16, 2018

This article provides a brief explanation of the SVM Classification method of analytics. Business Benefit: Once classes are assigned, the bank will have a loan applicant dataset with each applicant labeled as “likely/unlikely to default”. What is SVM Classification Analysis?

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

AUGUST 14, 2018

This article provides a brief explanation of the FP Growth technique of Frequent Pattern Mining. Use Case – 2 Business Problem: A bank marketing manager wishes to analyze which products are frequently and sequentially bought together. What is the FP Growth Algorithm?

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 16, 2018

This article provides a brief explanation of the SVM Classification method of analytics. Business Benefit: Once classes are assigned, the bank will have a loan applicant dataset with each applicant labeled as “likely/unlikely to default”. What is SVM Classification Analysis?

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

JUNE 21, 2017

While analytics is used for many things from descriptive, monitoring, predictive, diagnostic to prescriptive analytics, for putting Analytics in हर हाथ , the usual objective is monitoring and effective decision making. Monitoring is simple, necessary and effective. Make an investment in monitoring your fitness.

Monitoring 130

Monitoring Logistics Business Intelligence Business Intelligence 130

ElegantJ BI

JUNE 21, 2017

While analytics is used for many things from descriptive, monitoring, predictive, diagnostic to prescriptive analytics, for putting Analytics in हर हाथ , the usual objective is monitoring and effective decision making. Monitoring is simple, necessary and effective. Make an investment in monitoring your fitness.

Monitoring 130

Monitoring Logistics Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 18, 2018

In this article, we discuss the analytical method known as frequent pattern mining, previously known as ‘association’ What is Frequent Pattern Mining? Use Case – 2 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

OCTOBER 18, 2018

In this article, we discuss the analytical method known as frequent pattern mining, previously known as ‘association’ What is Frequent Pattern Mining? Use Case – 2 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

SEPTEMBER 19, 2021

This article provides a brief overview of random forest classification technique. What is Random Forest Classification? The Random Forest Classification model constructs many decision trees wherein each tree votes and outputs the most popular class as the prediction result. 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

This article provides a brief overview of random forest classification technique. 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.

Data Discovery 130

Data Discovery Banking Business Intelligence Business Intelligence 130

ElegantJ BI

SEPTEMBER 19, 2021

This article provides a brief overview of random forest classification technique. 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.

Data Discovery 130

Data Discovery Banking Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 17, 2018

This article explains the Karl Pearson Correlation method of analysis, and how it can be applied in business. Business Problem: A bank wants to find the correlation between income and credit card delinquency rate of credit card holders. What is the Karl Pearson Correlation Analytical Technique?

Data Discovery 130

Data Discovery Banking Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 17, 2018

This article explains the Karl Pearson Correlation method of analysis, and how it can be applied in business. Business Problem: A bank wants to find the correlation between income and credit card delinquency rate of credit card holders. What is the Karl Pearson Correlation Analytical Technique?

Data Discovery 130

Data Discovery Banking Business Intelligence Business Intelligence 130

Domo

FEBRUARY 26, 2025

In this article, we will talk about agentic AI, its benefits, and real-world applications. Self-reactiveness: Continuously monitoring performance and making real-time adjustments. AI agents in cybersecurity AI agents autonomously monitor and respond to security threats and identify vulnerabilities. What is agentic AI?

Supply Chain 59

Supply Chain Healthcare Monitoring Banking 59