Smart Data Collective

MAY 14, 2021

Banking has been gradually going digital for years now, but that shift was accelerated last year. Without being able to physically enter branches, more people were reaching out to their banks via phone or online. To ramp up this increased need for virtual customer support, many banks have turned to using virtual assistants.

Banking 290

Banking Retail Big Data Healthcare 290

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.

Customer Experience 363

Customer Experience Customer Experience Big Data Banking 363

Smart Data Collective

AUGUST 27, 2020

The UK Office of National Statistics shows that roughly 30% of all retail sales are conducted over the Internet. To start with, retailers who want to perform an online transaction with you may ask if you’d like to have your card data stored online. From there, banks and retailers have options. All online.

Retail 286

Retail Banking Big Data Cybersecurity 286

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 321

Artificial Intelligence Cybersecurity Banking Retail 321

Simplilearn

MAY 9, 2023

One can witness the growing adoption of these technologies in industrial sectors like banking, finance, retail, manufacturing, healthcare, and more. Companies are striving to make information and services more accessible to people by adopting new-age technologies like AI and machine learning. Read More.

Artificial Intelligence 246

Artificial Intelligence Banking Retail Healthcare 246

The BAWorld

NOVEMBER 30, 2023

This article on fundamentals of banking domain is the first article of the three-part Banking domain knowledge series. In this article, we explain the following topics: The Banking System Functions of Banking Evolution of Indian banking system The next two in this series will explain the concepts of Retail and Corporate banking.

Banking 98

Banking Retail Portfolio Management Government 98

Smart Data Collective

AUGUST 29, 2022

For example, insurance companies use cluster analysis to detect false claims, while banks use it to assess creditworthiness. Predictive analytics has been successfully used in different industries such as ecommerce, telecommunications, marketing, banking, insurance, or energy, to name a few. Predictive analytics. billion by 2030.

Predictive Analytics 331

Predictive Analytics Banking Healthcare Retail 331

Smart Data Collective

MARCH 30, 2022

Keep reading to discover how you can build the next big online retailing company with our step-by-step guide to building a successful analytics-driven e-commerce shop. You can use data analytics for everything from finding the right bank account to lowering your expenses and ensuring you don’t miss any deductions around tax time.

E-Commerce 321

E-Commerce Banking Big Data Finance 321

Smart Data Collective

APRIL 28, 2021

This has pushed investors, retail and institutional, into a buying frenzy. It provided us with the first decentralized digital payment system, independent from banks and governments. In November, Investopedia reported that prices of bitcoin rose 111% and they seem to be increasing even further.

Supply Chain 345

Supply Chain Banking Finance Government 345

Smart Data Collective

FEBRUARY 2, 2021

In a report titled Analytics: The real-world use of big data in retail , IBM found that 62% of retail leaders were able to create a competitive advantage thanks to data analytics and predictions. Moreover, the use of data in talent acquisition helps build more relevant offers, increases retention, and forecast talent demand.

Big Data 267

Big Data IBM cost Talent Acquisition IBM Support 267

Smart Data Collective

AUGUST 19, 2023

Credit risk is one of the most critical hazards that banks and financial organizations face. The World Bank Blog has an entire post dedicated to this topic. For example, if a bank has diversified its loan portfolio across retail, manufacturing, and technology, a downturn in one area will not devastate the entire portfolio.

Data Analytics 246

Data Analytics Data Analytics Banking Finance 246

Smart Data Collective

JUNE 11, 2021

Historically, most of the digital transactions were conducted at Western Union retail locations which make for an expansive network of outlets sited across the globe. They’ve reported that almost 20% of their transfers are diverted to bank accounts. They used data analytics tools to facilitate these transactions.

Big Data 253

Big Data Banking Retail Digital 253

Smart Data Collective

AUGUST 21, 2022

We may get one from our bank and use it to make cashless payments. It’s called a “credit” card because the bank loans us money to use it to make purchases. Prepaid cards may be used to make payments for retail and online purchases, as well as ATM withdrawals, using pre-loaded cash. Identification of the bank.

Big Data 246

Big Data Banking Retail Data Analytics 246

Smart Data Collective

APRIL 8, 2020

Data warehousing industry application scope spans across several domains related to analytics and even cloud in some cases, including BFSI, healthcare, manufacturing, telecom & IT, retail and government, among others. Big data and data warehousing.

Data Warehouse 361

Data Warehouse Big Data Data Mining Business Intelligence 361

Smart Data Collective

FEBRUARY 11, 2023

While this was always the case for certain niches in the past, it’s becoming an increasingly popular practice even among retail and part-time positions that usually don’t have such harsh restrictions on their employees. The problem is that many people are struggling to get financial aid. Fortunately, big data is simplifying the process.

Big Data 328

Big Data IBM cost Banking Retail 328

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. It doesn’t matter if you own a manufacturing business, an ecommerce, or a retail shop, you have IT needs. Last year, global businesses spent over $271 billion on big data.

Big Data 312

Big Data Banking Data Mining Data Analytics 312

Smart Data Collective

DECEMBER 21, 2020

That is more than retailers and the banking industry. According to the AI 360 report, released by the professional services firm Genpact, more than $5m is being invested annually by 87% of insurers. The insurance industry is especially suited to AI because it deals with enormous amounts of big data.

Big Data 355

Big Data Documentation Cloud Computing Banking 355

Smart Data Collective

NOVEMBER 29, 2019

Banking, Insurance, Healthcare, and Retail are the top industries leveraging the power of RPA. Be it banking, telecom or retail, RPA bots can be deployed quickly, helping enterprises realize the benefits of RPA implementation. Automation can cut operating costs by up to 90%. What are the processes that can RPA automate?

Big Data 189

Big Data Banking Retail Healthcare 189

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

Dataversity

JANUARY 11, 2022

Artificial intelligence (AI) capabilities have led to groundbreaking advancements in various sectors, including banking, communications, and retail. However, AI systems have yet to […].

Artificial Intelligence 130

Artificial Intelligence Banking Retail 130

ElegantJ BI

AUGUST 11, 2017

Its customers include well-renowned entities in banking, life and general insurance and non-banking finance companies in India. Herald Logic was recently featured in the ’25 Most Promising Retail Solution Providers – 2017′ in Asia Pacific in the annual APAC CIO Outlook Magazine survey.

Data Discovery 204

Data Discovery Banking Business Intelligence Business Intelligence 204

Dataversity

AUGUST 9, 2024

Now, everyone from the smallest startups to the biggest banks and retailers wants to reap the benefits it has to offer. When generative AI exploded onto the tech scene in 2022, companies scrambled to adopt the “Next Big Thing.”

Banking 130

Banking Retail Artificial Intelligence 130

Smart Data Collective

JANUARY 27, 2022

AI technologies are already used in many business niches – from processing loan applications in banks and resume screening to voice assistants in GPS navigation systems. As a result, the best career prospects await logistics experts in large retail chains and transport companies. With their help, AI learns to.

Big Data 338

Big Data Logistics Artificial Intelligence Data Analytics 338

Smart Data Collective

JUNE 30, 2022

ShipBob clarifies that large retail companies use analytics tools to “keep track of all inventory in their large fulfilment centers and easily locate each SKU, so they can be accurately picked, packed, and shipped as orders are placed”. Optimized inventory management. Transparent communications.

Logistics 317

Logistics Supply Chain E-Commerce Data Analytics 317

Smart Data Collective

APRIL 10, 2019

Metadata typically contains the person’s name, address, phone number, credit card number, email address and even personal or business bank account numbers. Target experienced one of the largest attacks in the history of retail America on or before Black Friday of 2013. Why a Cyber-Criminal Steals Metadata.

Banking 224

Banking Retail Monitoring Planning 224

Simplilearn

AUGUST 5, 2021

After all, organizations in sectors ranging from retail to customer service to banking now use new technology and employ IT service managers to develop and maintain their websites, ecommerce, online customer service, and more. Read More.

Banking 130

Banking Retail 130

Dataversity

AUGUST 6, 2021

The 21st century has been characterized by the exponential growth of disruptive technology and its impact in multiple industry sectors – from manufacturing, banking, and finance to health care and retail. This has been accompanied by a concurrent data explosion, with every industry sector now generating information […].

Banking 130

Banking Retail Finance Data Warehouse 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

Smart Data Collective

SEPTEMBER 26, 2019

Most ordinary people had to settle for a savings account at their local bank while some even opted to simply put their savings under their mattress. Investment vehicles were not very different from one another and minimum capital requirements meant that even this was reserved for the few who had the means.

Finance 262

Finance Big Data Data Mining Banking 262

ElegantJ BI

AUGUST 14, 2018

Business Problem: A retail store manager wants to conduct Market Basket analysis to come up with better strategy of products placement and product bundling. Business Problem: A bank marketing manager wishes to analyze which products are frequently and sequentially bought together. Use Case – 1. Use Case – 2.

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

Analysts Corner

JULY 13, 2022

For example, the desired business goal of some bank might be to develop more long-term relationships with the clients, through contracting more retail lending products. Current offer comprises service in branches and simple submitting of application through internet banking, and the rest of the process is then offline.

Vision 245

Vision Visualization Banking Agile 245

Fingent

APRIL 1, 2021

Now, retailers have to fulfill orders in a multichannel, multitouch eCommerce environment; consumer banks have to provide secure and user-friendly apps, and travel brands have reconfigured their approach to stay relevant in the face of […].

Banking 98

Banking Retail Digital Transformation Digital 98

ElegantJ BI

AUGUST 14, 2018

Use Case – 1 Business Problem: A retail store manager wants to conduct Market Basket analysis to come up with better strategy of products placement and product bundling. Use Case – 2 Business Problem: A bank marketing manager wishes to analyze which products are frequently and sequentially bought together.

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

AUGUST 14, 2018

Use Case – 1 Business Problem: A retail store manager wants to conduct Market Basket analysis to come up with better strategy of products placement and product bundling. Use Case – 2 Business Problem: A bank marketing manager wishes to analyze which products are frequently and sequentially bought together.

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

FEBRUARY 28, 2021

Retail, Small Business Services : Understanding customer churn and how to sustain a customer relationship rather than having to replace a lost customer.

Predictive Analytics 130

Predictive Analytics Planning Supply Chain Logistics 130

ElegantJ BI

FEBRUARY 28, 2021

Retail, Small Business Services : Understanding customer churn and how to sustain a customer relationship rather than having to replace a lost customer.

Predictive Analytics 130

Predictive Analytics Planning Supply Chain Logistics 130