Product Wise Declined (Business/Technical) Transactions
The "Declined (Business/Technical) Transaction" dataset provides valuable insights into declined transactions, categorizing them into business and technical declines. It serves as a crucial resource for analyzing transaction declines in the context of various financial products and issuer banks. The dataset includes key variables such as transaction dates, product names, issuer bank names, total transaction volume (in million), approved transaction volume (as a percentage), business decline transactions (as a percentage), and technical decline transactions (as a percentage). This dataset is essential for financial analysts, payment service providers, and issuers interested in monitoring and improving transaction acceptance rates.
Data Dictionary
- ID
- id
- Type
- numeric
- Label
- index
- ID
- date
- Type
- date
- Label
- Date
- ID
- product
- Type
- text
- Label
- Product
- ID
- issuer_bank
- Type
- text
- Label
- Issure Bank Name
- ID
- total_volume
- Type
- numeric
- Label
- Total Volume
- ID
- approved_transaction_volume
- Type
- numeric
- Label
- Approved Transaction Volume
- ID
- business_decline_transactions
- Type
- numeric
- Label
- Bussiness Decline Transactions
- ID
- technical_decline_transactions
- Type
- numeric
- Label
- Technical Decline Transactions
Additional Information
| Field | Value |
|---|---|
| Data last updated | October 6, 2023 |
| Metadata last updated | August 22, 2024 |
| Created | October 6, 2023 |
| Format | CSV |
| License | No License Provided |
| Additional info | Number of banks = 107 |
| Data extraction page | https://www.npci.org.in/statistics/bd-td-and-uptime |
| Data insights | The dataset enables users to extract valuable insights into declined transactions across different financial products and issuer banks. Key insights include:Transaction Decline Analysis: Users can analyze and understand the reasons behind transaction declines, distinguishing between business and technical declines.Product Performance: The dataset allows for the assessment of how different financial products perform in terms of transaction acceptance rates.Issuer Bank Comparison: Users can compare issuer banks to identify variations in transaction declines and approval rates. |
| Data last updated | 2023-07-01 00:00:00 |
| Data retreival date | 2023-09-13 00:00:00 |
| Datastore active | True |
| Frequency | Monthly |
| Granularity | Bank |
| Has views | True |
| Id | f8c33592-34cd-4bdf-b4b8-d845d67b4eb4 |
| Idp ready | True |
| Lgd mapping | na |
| Methodology | The dataset is collected and maintained by the National Payments Corporation of India (NPCI). |
| No indicators | 4 |
| Package id | 150fe363-f61f-41f2-9215-15f61358f427 |
| Position | 2 |
| Size | 161.6 KiB |
| Sku | npci-product_bnk_wise_bd_td_stats-in-mn-aaa |
| State | active |
| Url type | upload |
| Years covered | 2021-2023 |
| Methodology | The dataset is collected and maintained by the National Payments Corporation of India (NPCI). |
| Indicators | |
| Similar Resources | |
| Granularity Level | Bank |
| Data Extraction Page | https://www.npci.org.in/statistics/bd-td-and-uptime |
| Data Retreival Date | 2023-09-13 00:00:00 |
| Data Last Updated | 2023-07-01 00:00:00 |
| Sku | npci-product_bnk_wise_bd_td_stats-in-mn-aaa |
| Dataset Frequency | Monthly |
| Years Covered | 2021-2023 |
| No of States/UT(s) | |
| No of Districts | |
| No of Tehsils/blocks | |
| No of Gram Panchayats | |
| Additional Information | Number of banks = 107 |
| Number of Indicators | 4 |
| Insights from the dataset | The dataset enables users to extract valuable insights into declined transactions across different financial products and issuer banks. Key insights include:Transaction Decline Analysis: Users can analyze and understand the reasons behind transaction declines, distinguishing between business and technical declines.Product Performance: The dataset allows for the assessment of how different financial products perform in terms of transaction acceptance rates.Issuer Bank Comparison: Users can compare issuer banks to identify variations in transaction declines and approval rates. |
| IDP Ready | Yes |
| LGD Mapping | Not Applicable |