The “Customer Credit Card Data” dataset provides valuable insights into credit card usage patterns and financial behavior. Each record represents an individual credit card holder, and the dataset includes the following features:

Id | Features | Description --|:---------|:----------- 1|**Cust_Id:** | Identification of credit card holder
2|**Balance:** | A credit card balance or Total amount left in their account to make purchases 3|**Balance_Frequency:** | How frequently the balance is updated, score between 0 and 1 (1 = frequently updated, 0 = not frequently updated) 4|**Purchases:** | Total amount of purchases made from account 5|**One_Off_Purchases:** | Maximum purchase amount done in one-go 6|**Installments_Purchases:** | Amount of purchase done in installment 7|**Cash_Advance:** | Cash in advance given by the user 8|**Purchases_Frequency:** | How frequently the Purchases are being made, score between 0 and 1 (1 = frequently purchased, 0 = not frequently purchased)
9|**One_Off_Purchases_Frequency:** | How frequently Purchases are happening in one-go (1 = frequently purchased, 0 = not frequently purchased)
10|**Purchases_Installments_Frequency:** | How frequently purchases in installments are being done (1 = frequently done, 0 = not frequently done)
11|**Cash_Advance_Frequency:** | How frequently the cash in advance being paid
12|**Cash_Advance_Trx:** | Number of Transactions made with "Cash in Advanced"
13|**Purchases_Trx:** | Number of purchase transactions made
14|**Credit_Limit:** | Limit of Credit Card for user
15|**Payments:** | Total amount of payments done by user
16|**Minimum_Payments:** | Minimum amount of payments made by user 17|**Prc_Full_Payment:** | Percentage of full payment paid by user
18|**Tenure:** | Tenure of credit card service for user

This dataset is valuable for analyzing credit card behavior, identifying trends, and building predictive models related to credit usage. Researchers, analysts, and financial institutions can leverage this data to gain deeper insights into customer profiles and optimize credit card services.

The monthly card payment statistics provide data in relation to credit and debit card transactions undertaken by Irish resident households. The data includes the monthly value and volume of transactions across both credit and debit cards by Irish households. The data is collected from issuers of credit and debit cards and specifically from reporting agents that are resident in Ireland (including established foreign branches). The aggregate data is further broken down into, remote and non-remote card spending; contactless and mobile wallet card spending; sectoral card spending; domestic and non-domestic card spending; regional card spending in Ireland; and cash withdrawals. A breakdown of the number of credit & debit cards currently issued to Irish residents is also provided. Scope: Only Personal Cards are in scope for reporting, business cards and cards issued to non-Irish residents are not in scope. The reporting instructions in the Landing page link has descriptive details about the table and the column names used in data collection

Credit Card Customer Data Description This dataset contains information about credit card customers, including their account balances, transaction behaviors, and payment patterns. The data is structured in a tabular format with the following columns:

CUST_ID: Unique identifier for each customer. BALANCE: Current balance on the credit card account. BALANCE_FREQUENCY: Frequency of the balance updates (range: 0 to 1). PURCHASES: Total purchases made with the credit card. ONEOFF_PURCHASES: Total one-off purchases made with the credit card. INSTALLMENTS_PURCHASES: Total purchases made in installments. CASH_ADVANCE: Total cash advances taken from the credit card. PURCHASES_FREQUENCY: Frequency of purchases made (range: 0 to 1). ONEOFF_PURCHASES_FREQUENCY: Frequency of one-off purchases (range: 0 to 1). PURCHASES_INSTALLMENTS_FREQUENCY: Frequency of installment purchases (range: 0 to 1). CASH_ADVANCE_FREQUENCY: Frequency of cash advances taken (range: 0 to 1). CASH_ADVANCE_TRX: Total number of cash advance transactions. PURCHASES_TRX: Total number of purchase transactions. CREDIT_LIMIT: Credit limit assigned to the customer’s account. PAYMENTS: Total payments made towards the credit card balance. MINIMUM_PAYMENTS: Minimum payments required. PRC_FULL_PAYMENT: Percentage of full payments made (range: 0 to 1). TENURE: Duration (in months) the account has been active. Insights This dataset can be used to analyze customer spending behavior, assess credit risk, and identify trends in credit card usage. It provides a comprehensive overview of customer transactions, payment patterns, and credit management.

Use Cases Customer Segmentation: Group customers based on their spending habits and payment behaviors. Credit Risk Assessment: Evaluate risk levels associated with different customer profiles. Predictive Modeling: Develop models to predict future spending or likelihood of default.

Turkey Credit Card Transaction: Total: Value: Domestic Cards: Cash Advance data was reported at 6,241.090 TRY mn in Mar 2018. This records an increase from the previous number of 5,463.600 TRY mn for Feb 2018. Turkey Credit Card Transaction: Total: Value: Domestic Cards: Cash Advance data is updated monthly, averaging 1,676.820 TRY mn from Jan 2002 to Mar 2018, with 195 observations. The data reached an all-time high of 6,405.300 TRY mn in Oct 2016 and a record low of 183.830 TRY mn in Feb 2002. Turkey Credit Card Transaction: Total: Value: Domestic Cards: Cash Advance data remains active status in CEIC and is reported by The Interbank Card Center. The data is categorized under Global Database’s Turkey – Table TR.KA012: Credit and Debit Cards Statistics.

This Dataset contains year, month, bank-type and bank-wise total value and volume of card payments and cash withdrawal transactions of credit and debit Cards at point of sale (PoS), ATMs and online during each month

Turkey Number of Transactions: Credit Card Issued by BKM Member Bank: Cash Adv data was reported at 98.120 Unit mn in 2017. This records an increase from the previous number of 90.973 Unit mn for 2016. Turkey Number of Transactions: Credit Card Issued by BKM Member Bank: Cash Adv data is updated yearly, averaging 84.784 Unit mn from Dec 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 98.120 Unit mn in 2017 and a record low of 39.000 Unit mn in 2002. Turkey Number of Transactions: Credit Card Issued by BKM Member Bank: Cash Adv data remains active status in CEIC and is reported by The Interbank Card Center. The data is categorized under Global Database’s Turkey – Table TR.KA013: Credit and Debit Cards Statistics: Annual.

Turkey Credit Card Transaction: Intl: Vol: Domestic Cards: Cash Advance data was reported at 58,203.000 Unit in Mar 2018. This records an increase from the previous number of 56,290.000 Unit for Feb 2018. Turkey Credit Card Transaction: Intl: Vol: Domestic Cards: Cash Advance data is updated monthly, averaging 60,060.000 Unit from Jan 2002 (Median) to Mar 2018, with 195 observations. The data reached an all-time high of 164,165.000 Unit in Nov 2006 and a record low of 19,769.000 Unit in Mar 2002. Turkey Credit Card Transaction: Intl: Vol: Domestic Cards: Cash Advance data remains active status in CEIC and is reported by The Interbank Card Center. The data is categorized under Global Database’s Turkey – Table TR.KA012: Credit and Debit Cards Statistics.

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Data is the new oil, and this dataset is a wellspring of knowledge waiting to be tapped😷!

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** For more related datasets: ** https://www.kaggle.com/datasets/rajatsurana979/fifafcmobile24 https://www.kaggle.com/datasets/rajatsurana979/most-streamed-spotify-songs-2023 https://www.kaggle.com/datasets/rajatsurana979/comprehensive-credit-card-transactions-dataset https://www.kaggle.com/datasets/rajatsurana979/hotel-reservation-data-repository https://www.kaggle.com/datasets/rajatsurana979/percent-change-in-consumer-spending https://www.kaggle.com/datasets/rajatsurana979/fast-food-sales-report/data

Description: Welcome to the world of credit card transactions! This dataset provides a treasure trove of insights into customers' spending habits, transactions, and more. Whether you're a data scientist, analyst, or just someone curious about how money moves, this dataset is for you.

Features: - Customer ID: Unique identifiers for every customer. - Name: First name of the customer. - Surname: Last name of the customer. - Gender: The gender of the customer. - Birthdate: Date of birth for each customer. - Transaction Amount: The dollar amount for each transaction. - Date: Date when the transaction occurred. - Merchant Name: The name of the merchant where the transaction took place. - Category: Categorization of the transaction.

Why this dataset matters: Understanding consumer spending patterns is crucial for businesses and financial institutions. This dataset is a goldmine for exploring trends, patterns, and anomalies in financial behavior. It can be used for fraud detection, marketing strategies, and much more.

Acknowledgments: We'd like to express our gratitude to the contributors and data scientists who helped curate this dataset. It's a collaborative effort to promote data-driven decision-making.

Let's Dive In: Explore, analyze, and visualize this data to uncover the hidden stories in the world of credit card transactions. We look forward to seeing your innovative analyses, visualizations, and applications using this dataset.

Concept: Number of transactions using non-cash instruments. Checks and transfers includes interbank and intrabank operations. Source: Central Bank of Brazil – Department of Banking Operations and Payments System 19884d1a-d1c3-46be-b957-9961408445b7 25223-number-of-paymens-with-credit-card

Turkey Credit Card Transaction: Total: Vol: Domestic Cards: Cash Advance data was reported at 8,723,182.000 Unit in Mar 2018. This records an increase from the previous number of 7,640,921.000 Unit for Feb 2018. Turkey Credit Card Transaction: Total: Vol: Domestic Cards: Cash Advance data is updated monthly, averaging 7,044,988.000 Unit from Jan 2002 (Median) to Mar 2018, with 195 observations. The data reached an all-time high of 9,036,489.000 Unit in May 2011 and a record low of 2,546,266.000 Unit in Feb 2003. Turkey Credit Card Transaction: Total: Vol: Domestic Cards: Cash Advance data remains active status in CEIC and is reported by The Interbank Card Center. The data is categorized under Global Database’s Turkey – Table TR.KA012: Credit and Debit Cards Statistics.

Cash-and-Equivalents Time Series for Synchrony Financial. Synchrony Financial, together with its subsidiaries, operates as a consumer financial services company in the United States. It provides credit products, such as credit cards, commercial credit products, and consumer installment loans. The company also offers private label credit cards, dual and general purpose co-branded cards, short- and long-term installment loans, and consumer banking products; and deposit products, including certificates of deposit, individual retirement accounts, money market accounts, savings accounts, and sweep and affinity deposits, as well as accepts deposits through third-party securities brokerage firms. In addition, it provides debt cancellation products to its credit card customers through online and mobile channels; and healthcare payments and financing solutions under the CareCredit and Walgreens brands; payments and financing solutions in the apparel, specialty retail, outdoor, music, and luxury industries, such as American Eagle, Dick's Sporting Goods, Guitar Center, Kawasaki, Pandora, Polaris, Suzuki, and Sweetwater. The company offers its credit products through programs established with a group of national and regional retailers, local merchants, manufacturers, buying groups, industry associations, and healthcare service providers; and deposit products through various channels, such as digital and print. It serves digital, health and wellness, retail, home, auto, telecommunications, pet, outdoor, and other industries. The company was founded in 1932 and is headquartered in Stamford, Connecticut.

Turkey Credit Card Transaction: Domestic: Value: Intl Cards: Cash Advance data was reported at 680.960 TRY mn in Sep 2018. This records a decrease from the previous number of 874.270 TRY mn for Aug 2018. Turkey Credit Card Transaction: Domestic: Value: Intl Cards: Cash Advance data is updated monthly, averaging 116.530 TRY mn from Jan 2003 (Median) to Sep 2018, with 189 observations. The data reached an all-time high of 874.270 TRY mn in Aug 2018 and a record low of 18.370 TRY mn in Feb 2004. Turkey Credit Card Transaction: Domestic: Value: Intl Cards: Cash Advance data remains active status in CEIC and is reported by The Interbank Card Center. The data is categorized under Global Database’s Turkey – Table TR.KA012: Credit and Debit Cards Statistics.

Cash-Ratio Time Series for Visa Inc. Class A. Visa Inc. operates as a payment technology company in the United States and internationally. The company operates VisaNet, a transaction processing network that enables authorization, clearing, and settlement of payment transactions. It also offers credit, debit, and prepaid card products; tap to pay, tokenization, and click to pay services; Visa Direct, a solution that facilitates the delivery of funds to eligible cards, bank accounts, and digital wallets; Visa B2B Connect, a multilateral business-to-business cross-border payments network; Visa Cross-Border Solution, a cross-border consumer payments solution; and Visa DPS that provides a range of value-added services, including fraud mitigation, dispute management, data analytics, campaign management, a suite of digital solutions, and contact center services. The company also provides acceptance solutions, which include Cybersource and Authorize.net that provides new and enhanced payment integrations with ecommerce platforms, enabling sellers and acquirers to offer tailored commerce experiences; risk and identity solutions, such as Visa Advanced Authorization, Visa Secure, Visa Consumer Authentication Service, Visa Protect Authentication Intelligence, and Visa Provisioning Intelligence; and Visa Consulting and Analytics, a payment consulting advisory services. It provides its services under the Visa, Visa Electron, Interlink, V PAY, and PLUS brands. The company serves merchants, financial institutions, and government entities. Visa Inc. was founded in 1958 and is headquartered in San Francisco, California.

Payments data is reported by payment service providers (PSPs) including banks, credit unions, payment institutions, e-money institutions and payment service operators (companies that processes clearing and settlement of payment transactions) resident in Ireland in accordance with the Payment Statistics Regulation introduced in 2022. This includes fraud and non fraud data in the same dataset with an identifier to distinguish the two. The frequency of data collection is semi-annual basis, and covers: • Total value and volume of payment ( inclusive of fraudulent payment) transactions by payment methods used (card payments, cash withdrawals, credit transfers, direct debits, electronic-money and remittances). • Main types of fraud for electronically initiated - card payments, cash withdrawals, credit transfers, direct debits and e-money payments. • Granular details include regional breakdown by country to which the payment is sent/received, payment channel used whether electronic or non-electronic (file or paper based forms), payment sub channel used such as online (remote) or via payment terminal at the counter (non-remote), use of strong customer authentication (SCA) during the payment • Losses due to fraud and the distribution of losses among payment service user, payment service provider and other parties. Dataset HPAY is the parent dataset with key headline numbers of all the payment services. Individual datasets like HPCT (Credit Transfers), HPDD (Direct debits), HPEM (e-money), HPCP (card payments) has more granular details as per the payment types . For quick references in relation to fraudulent payments in the datasets, refer to column FRD_TYP with codes like “F”,”F1”,”F2”,”F3” etc . Description of the fraud codes are in the subsequent column FRD_TYP_DESC. Non-fraud payments takes a default value of “_Z”. For complete dataset description and hierarchy details, kindly refer to the manual here on the Central bank website.

Total-Cash-From-Operating-Activities Time Series for Visa Inc. Class A. Visa Inc. operates as a payment technology company in the United States and internationally. The company operates VisaNet, a transaction processing network that enables authorization, clearing, and settlement of payment transactions. It also offers credit, debit, and prepaid card products; tap to pay, tokenization, and click to pay services; Visa Direct, a solution that facilitates the delivery of funds to eligible cards, bank accounts, and digital wallets; Visa B2B Connect, a multilateral business-to-business cross-border payments network; Visa Cross-Border Solution, a cross-border consumer payments solution; and Visa DPS that provides a range of value-added services, including fraud mitigation, dispute management, data analytics, campaign management, a suite of digital solutions, and contact center services. The company also provides acceptance solutions, which include Cybersource and Authorize.net that provides new and enhanced payment integrations with ecommerce platforms, enabling sellers and acquirers to offer tailored commerce experiences; risk and identity solutions, such as Visa Advanced Authorization, Visa Secure, Visa Consumer Authentication Service, Visa Protect Authentication Intelligence, and Visa Provisioning Intelligence; and Visa Consulting and Analytics, a payment consulting advisory services. It provides its services under the Visa, Visa Electron, Interlink, V PAY, and PLUS brands. The company serves merchants, financial institutions, and government entities. Visa Inc. was founded in 1958 and is headquartered in San Francisco, California.

This dataset contains transaction-level records of purchases of parking from the Pittsburgh Parking Authority. Individual transactions are published with information including the zone or meter where the purchase was made, start time of the interval paid for, end time of the interval paid for, purchase time (for meter transactions), date recorded in the database (a good proxy for purchase time for mobile transactions), amount paid in that transaction, whether the transaction was made through a smart phone (a "mobile" transaction) or at a meter (in which case the means of payment will be identified as cash, credit card, or a combination of the two), and whether a given purchase started a new parking session or extended an existing session. The payment-interval start times are the same for all transactions in a given session: If someone pays to park at 9am and then 15 minutes later adds more money to extend their parking session, there will be two rows in the table (one for the 9am purchase and one for the 9:15am purchase), but both rows will have the same payment-interval start time (9am) since the payment interval is at the parking-session level. This dataset is considered "beta" at this point. The formatting of values and the set of fields may change as this dataset approaches its final state.

Cash-and-Equivalents Time Series for Fiserv, Inc.. Fiserv, Inc. provides payments and financial services technology solutions in the United States, Europe, the Middle East and Africa, Latin America, the Asia-Pacific, and internationally. It operates through the Merchant Solutions and Financial Solutions segments. The company provides merchant acquiring and digital commerce services, mobile payment services, security and fraud protection solutions, stored-value solutions, software-as-a-service, and pay-by-bank solutions, as well as Clover, a point-of-sale and business management platform through various channels, including direct sales teams, strategic partnerships with agent sales forces, independent software vendors, independent sales organizations, financial institutions, and other strategic partners. It also offers debit card processing services, debit network services, security and fraud protection products, bill payment; person-to-person payments, account-to-account transfers, credit card processing services, prepaid card processing services, card production services, print services, government payment processing, student loan processing, and customer loan and deposit account processing; digital banking; financial and risk management; and professional services and consulting, check processing, automated clearing house, and real-time payments. It serves large enterprise, small business, banks, credit union, large financial institution, fintech, public sectors, and software providers. Fiserv, Inc. was incorporated in 1984 and is headquartered in Milwaukee, Wisconsin.

Payment Statistics Quarterly is reported by payment service providers, it records non-cash payments by non-monetary financial institutions which include Credit Transfers, Direct Debits, Card based Payment Transactions, E-money Transactions and Cheques.

Credit Card Financial Dashboard

This project presents a comprehensive Credit Card Financial Report created using Power BI. It aims to provide a detailed analysis of credit card operations on a weekly basis, offering real-time insights into key performance metrics and trends. The dashboard empowers stakeholders to monitor and analyze credit card operations effectively, facilitating informed decision-making processes.

Project Overview:

The "Credit Card Financial Dashboard" leverages a Kaggle dataset containing anonymized credit card transaction data. The dataset includes information such as transaction volume, transaction types, transaction amounts, customer demographics, spending behavior, and credit limits.

Project Contents:

1. Credit Card Transaction Report: This page provides a detailed analysis of credit card transactions, including transaction volume, types of transactions (e.g., purchases, cash advances), transaction amounts, and any anomalies or trends observed. Visualizations such as bar charts, line graphs, and pie charts are utilized to present the data effectively. 2. Credit Card Customer Report: The second page focuses on analyzing customer-related metrics, such as customer demographics (age, gender), spending behavior (average transaction amount, frequency of transactions), credit limits, and any customer-specific insights that can aid in decision-making processes. Visualizations such as demographic distributions, spending patterns, and credit limit distributions are included to provide a comprehensive overview of customer behavior.

Cash-and-Equivalents Time Series for Intuit Inc. Intuit Inc. provides financial management, payments and capital, compliance, and marketing products and services in the United States. The company operates in four segments: Global Business Solutions, Consumer, Credit Karma, and ProTax. The SGlobal Business Solutions segment provides QuickBooks services, which include financial and business management online services, desktop software, payroll solutions, time tracking, merchant payment processing and bill pay solutions, checking accounts, and financing services for small and mid-market businesses; and Mailchimp, a marketing automation and customer relationship management. This segment also offers QuickBooks online services and desktop software solutions comprising QuickBooks Online, QuickBooks Live, QuickBooks Online Advanced, QuickBooks Self-Employed, QuickBooks Solopreneur financial and business management offerings, QuickBooks Online Payroll, QuickBooks Checking, QuickBooks Desktop software subscriptions, and QuickBooks Assisted Payroll. The Consumer segment provides do-it-yourself and assisted TurboTax income tax preparation products and services. The Credit Karma segment offers consumers with a personal finance platform that provides recommendations for credit card, home, auto, and personal loan, and insurance products; online savings and checking accounts; and access to its credit scores and reports, credit and identity monitoring, credit report dispute, credit building tools, and tools. The ProTax segment provides Lacerte, ProSeries, and ProFile desktop tax-preparation software products; and ProConnect Tax Online bill pay tax products, electronic tax filing service, and bank products and related services. It sells products and services through direct sales channels, multichannel shop-and-buy experiences, mobile application stores, and partner and other channels. Intuit Inc. was founded in 1983 and is headquartered in Mountain View, California.