InfoQ Articles

NOVEMBER 1, 2022

This article reflects on the challenges of determining user experience and effectiveness and how modern techniques such as Real User Monitoring and Application Performance Monitoring can determine the true effectiveness of features.

Monitoring 92

Monitoring Banking Digital User Experience 92

Astera

JULY 11, 2023

One such innovation that has caught the attention of government bodies worldwide is automated bank statement data extraction. By harnessing the power of automated bank statement data extraction, governments are revolutionizing their operations and achieving substantial cost savings.

Banking 40

Banking Government Real-time Data Monitoring 40

Astera

JULY 11, 2023

Simplifying Real Estate Financial Management: What to Look for in an Automated Bank Statement Data Extraction Solution In the dynamic world of real estate, professionals face the exciting challenge of handling a significant volume of bank statements as part of their financial operations. How Does Automated Data Extraction Work?

Banking 40

Banking Artificial Intelligence Data Quality Documentation 40

Smart Data Collective

SEPTEMBER 13, 2023

Financial Information Mobile wallets, payment bracelets, bank applications on your smartphone, contactless payment cards, and even smart fridges are only a couple of devices that rely on IoT technology to make transactions easy for users. Wearable health monitors can tell them when your next medical appointment is.

Monitoring 233

Monitoring Healthcare Banking Data Management 233

Smart Data Collective

SEPTEMBER 19, 2022

Fintech analytics helps businesses in the financial and banking industry offer satisfactory services by: Enhancing View Of Customer Profiling. Fraud is a cause for concern in the banking industry, especially now that mobile banking takes a center stage. Improving Security. Forecasting Future Market Trends.

Customer Experience 321

Customer Experience Customer Experience Big Data Banking 321

Smart Data Collective

OCTOBER 7, 2021

Account Information Service Provider (AISP) is authorized to send and receive account data from banks and other financial institutions. Not only Fin-Techs can apply for AISP license , in some cases banks, insurance companies and other organizations use it for several reasons. PSD2 opened the new page of EU/EEA online services.

Banking 268

Banking Big Data Customer Experience Customer Experience 268

Analysts Corner

OCTOBER 31, 2023

Banking sector : integrating credit information, accounts, and financial transactions. Management : monitoring transactional data from business operations to generate indicators at various levels. For example: Governmental : aiming for integrated control of business and citizen taxes. Consider how connected you are.

Artificial Intelligence 246

Artificial Intelligence Healthcare Monitoring Banking 246

Smart Data Collective

SEPTEMBER 10, 2023

When it comes down to it, monitoring your child online isn’t about freedom or privacy. Parents who monitor and limit online screen time are much more aware and able to intervene when an issue crops up. Monitoring your child’s online activities can help alert you if they’re being bullied or if your child is bullying others.

Big Data 273

Big Data Monitoring Digital Banking 273

Smart Data Collective

SEPTEMBER 25, 2023

Companies need to appreciate the reality that they can drain their bank accounts on data analytics and data mining tools if they don’t budget properly. In a nutshell, IT budgeting is the process of managing your finances wisely to make sure your tech doesn’t break the bank and keeps your business running smoothly.

Big Data 261

Big Data Banking Data Mining Data Analytics 261

Smart Data Collective

MAY 10, 2022

For example, banks now apply AI to assess credit risks with high accuracy. It’s critical to financial institutions such as banks and credit unions that earn revenue from lending money with interest. Hence, banks go through the pain of assessing every prospective borrower’s creditworthiness. Fraud Detection.

Artificial Intelligence 274

Artificial Intelligence Cybersecurity Banking Retail 274

Smart Data Collective

JANUARY 12, 2022

It starts with which bills to pay, which opportunities need to be sacrificed, which partners to leave, and why they skimped on the best business bank account for another with a poor track record. Familiarize yourself with all the different aspects that affect your credit score and use financial analytics tools to monitor it.

Data Analytics 291

Data Analytics Data Analytics Finance Banking 291

BizAcuity

APRIL 1, 2023

AML regulations and procedures help organizations identify, monitor, and report suspicious transactions and provide an additional layer of protection against financial crime. Model Deployment: Deploy the model in production and monitor its performance. The process involves verifying customer data against various sources manually.

Predictive Analytics 130

Predictive Analytics Monitoring Banking Documentation 130

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. BI for BFSI Industry: Out-of-the-Box, Comprehensive Analytics!

Planning 130

Planning Banking Finance Business Intelligence 130

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. BI for BFSI Industry: Out-of-the-Box, Comprehensive Analytics!

Planning 130

Planning Banking Finance Business Intelligence 130

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. BI for BFSI Industry: Out-of-the-Box, Comprehensive Analytics!

Planning 130

Planning Banking Finance Business Intelligence 130

Smart Data Collective

AUGUST 16, 2022

In most cases, the main target of cyber attackers in healthcare has been patients’ information, like credit and bank account numbers, social security numbers, and personal data related to their medical state. Monitor Networks 24/7. Again, machine learning is vital to network monitoring in 2022.

Cybersecurity 282

Cybersecurity Healthcare Monitoring Banking 282

BizAcuity

JANUARY 18, 2023

AML regulations and procedures help organizations identify, monitor, and report suspicious transactions and provide an additional layer of protection against financial crime. Model Deployment: Deploy the model in production and monitor its performance. How Machine Learning Helps Detect and Prevent AML. This is not the final step.

Predictive Analytics 130

Predictive Analytics Monitoring Banking Documentation 130

Smart Data Collective

MARCH 15, 2023

This can be done easily with the help of cloud data security tools that can automate and monitor key security functions. More notably, they have an intelligence data scanning facility that doesn’t break the bank, making it a great option for businesses trying to save on their cloud usage bill.

Data Security 228

Data Security Cybersecurity Banking Monitoring 228

Smart Data Collective

FEBRUARY 18, 2022

Unlike some other best bitcoin autotrading app, you can purchase coins using your debit card or bank transfer. eToro is an online brokerage regulated by the FCA and offers a UK bank account deposit option. You can purchase crypto assets with a debit card or via bank transfer. The Gemini app is a user-friendly app for beginners.

Banking 255

Banking Digital Finance User Experience 255

Astera

FEBRUARY 9, 2024

End-to-End Credit Risk Assessment Process The credit risk assessment is a lengthy process where banks receives hundreds of loan applications daily from various channels, such as online forms, email, phone, and walk-in customers. According to McKinsey , this can yield up to 50 percent cost savings for Banks. Let’s explore how!

Banking 52

Banking Data Warehouse Data Quality Data Security 52

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

Smart Data Collective

MAY 11, 2023

The recent slew of bank failures have created a lot of concerns about the state of the global economy. The good news is that big data technology is helping banks meet their bottom line. The banking sector, in particular, can use big data technology to improve the actuarial analysis of the loan underwriting and approval process.

Banking 246

Banking Data Mining Big Data Customer Experience 246

Smart Data Collective

MARCH 7, 2021

The good news is that there are a lot of ways to mitigate these risks by using AI technology, such as with fraud scoring, automating the removal of rogue users and constant monitoring of internal resources. They may also try to get your bank details through scam calls which involve contacting the target and posing as a billing company.

Cybersecurity 318

Cybersecurity Banking Artificial Intelligence Financial Analysis 318

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 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. Learn More: Loan Approval. View the Loan Approval Use Case Slide Share.

Predictive Analytics 130

Predictive Analytics Banking Monitoring Planning 130

Timo Elliott

MARCH 6, 2023

Another example is Mercedes-Benz, which used SAP Cash Application and machine learning to automatically match invoices with bank information, which led to a 58 percent increase in automatic matching and significant time and cost savings for the finance department.

Artificial Intelligence 277

Artificial Intelligence Innovation Supply Chain Logistics 277

ElegantJ BI

SEPTEMBER 9, 2021

Smarten Augmented Analytics tools include Assisted Predictive Modeling , Smart Data Visualization , Self-Serve Data Preparation , Clickless Analytics with natural language processing (NLP) for search analytics , Auto Insights , Key Influencer Analytics , and SnapShot monitoring and alerts.

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

Smart Data Collective

SEPTEMBER 9, 2020

Speak of apps that monitor how much you’re eating, sleeping and exercising and being free to request a doctor any concern by pushing a button into your smartphone. But this is now about to evolve as banks, insurers, and businesses compete to learn how and when to use AI technology to reduce the expenses.

Healthcare 274

Healthcare Artificial Intelligence Banking Data Mining 274

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

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

Smart Data Collective

SEPTEMBER 23, 2020

One of the big hesitations of banks and credit card companies when it comes to cryptocurrency is around its security. What you can do with big data analytics is build out continuing auditing and monitoring over transactions that take place.

Big Data 351

Big Data Data Analytics Data Analytics Banking 351

Smart Data Collective

AUGUST 7, 2022

These include: Coinify: One of the largest and most well-known cryptocurrency brokers in Europe, Coinify offers users the ability to buy and sell Bitcoin via a variety of methods, including credit/debit cards, bank transfers, and e-wallets. You can use data analytics tools to monitor social media. For one, it is fast and convenient.

Data Analytics 258

Data Analytics Data Analytics Banking Government 258