Bank Branch Performance Metrics
This dataset provides comprehensive performance metrics for individual bank branches, including account activity, transaction volumes, and customer feedback scores over specific reporting periods. It enables detailed analysis of operational efficiency, customer satisfaction, and issue resolution, supporting data-driven management decisions and branch benchmarking.
Sample rows
preview · 8 of 200 rows · all 19 columns| branch_idstring | resolution_ratefloat | address_statestring | branch_namestring | branch_managerstring | address_streetstring | address_citystring | address_postal_codestring | address_countrystring | reporting_period_startdate | reporting_period_enddate | accounts_openedinteger | accounts_closedinteger | total_transactionsinteger | transaction_volumefloat | customer_feedback_countinteger | customer_satisfaction_scorefloat | net_promoter_scoreinteger | issues_reported_countinteger |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| BR-001 | 98.5 | NY | Downtown Financial | Sarah Martinez | 123 Market St | New York | 10001 | USA | 2024-01-01 | 2024-03-31 | 400 | 78 | 32650 | 11200000.45 | 152 | 4.9 | 95 | 6 |
| BR-002 | 99 | CA | Bayview Branch | David Kim | 56 Bayview Ave | San Francisco | 94105 | USA | 2024-01-01 | 2024-03-31 | 380 | 102 | 28920 | 10250000.22 | 143 | 4.8 | 97 | 7 |
| BR-003 | 100 | IL | Lakeshore Center | Jessica Wang | 789 Lakeshore Blvd | Chicago | 60611 | USA | 2024-02-01 | 2024-04-30 | 305 | 65 | 23120 | 8450000 | 106 | 4.6 | 87 | 5 |
| BR-004 | 97.5 | Lombardy | Sunshine Plaza | Andrea Rossi | 12 Via Roma | Milan | 20121 | Italy | 2024-01-01 | 2024-03-31 | 180 | 39 | 11280 | 2730000.12 | 46 | 4.2 | 78 | 6 |
| BR-005 | 98 | ON | Toronto Main | Michael O'Leary | 115 King St W | Toronto | M5H 1J9 | Canada | 2024-01-01 | 2024-03-31 | 170 | 28 | 10800 | 2665000 | 44 | 4 | 81 | 5 |
| BR-006 | 100 | Lisboa | Lisboa Central | Ana Pereira | 45 Avenida da Liberdade | Lisbon | 1250-139 | Portugal | 2024-02-01 | 2024-04-30 | 95 | 16 | 5450 | 860200 | 24 | 3.8 | 61 | 4 |
| BR-007 | 80 | Stockholms län | Stockholm Sodra | Erik Lindberg | 17 Södermalms torg | Stockholm | 11645 | Sweden | 2024-01-01 | 2024-03-31 | 86 | 35 | 4020 | 705000.5 | 22 | 3.4 | 48 | 5 |
| BR-008 | 26 | BC | Vancouver Granville | Jennifer Lee | 400 Granville St | Vancouver | V6C 1S5 | Canada | 2024-02-01 | 2024-04-30 | 15 | 18 | 1212 | 127500 | 6 | 2.2 | -22 | 8 |
| BR-009 | 100 | NSW | Sydney Cove | William MacGregor | 1 Macquarie St | Sydney | 2000 | Australia | 2024-01-01 | 2024-03-31 | 280 | 91 | 21380 | 6702000 | 111 | 4.7 | 90 | 3 |
| BR-010 | 75 | Geneva | Geneva Quartier | Lucas Meyer | 22 Rue du Rhône | Geneva | 1204 | Switzerland | 2024-01-01 | 2024-03-31 | 65 | 21 | 2780 | 510350 | 13 | 3.9 | 54 | 4 |
| BR-011 | 100 | Central | Central Singapore | Mei Lin Tan | 100 Orchard Rd | Singapore | 238840 | Singapore | 2024-01-01 | 2024-03-31 | 295 | 80 | 17500 | 5301200 | 104 | 4.5 | 86 | 2 |
| BR-012 | 100 | MA | Boston Beacon | Thomas Richardson | 45 Beacon St | Boston | 02108 | USA | 2024-02-01 | 2024-04-30 | 240 | 46 | 16250 | 4150000 | 90 | 4.6 | 89 | 5 |
| BR-013 | blank | Leningrad Oblast | Remote Mountain | Ivan Petrov | 8 Lenina Ulitsa | Kirovsk | 184250 | Russia | 2024-01-01 | 2024-03-31 | 0 | 0 | 0 | 0 | 0 | 1 | blank | 0 |
| BR-014 | blank | KY | Eden Valley Branch | Linda Green | 21 Valley Rd | Eden Valley | 40330 | USA | 2024-01-01 | 2024-03-31 | 0 | 0 | 0 | 0 | 0 | 1 | blank | 0 |
| BR-015 | 0 | Berlin | Berlin Mitte | Johannes Becker | 9 Friedrichstrasse | Berlin | 10117 | Germany | 2024-01-01 | 2024-03-31 | 38 | 22 | 2510 | 61000 | 6 | 1.6 | -100 | 20 |
| BR-016 | 14 | England | London East | Elizabeth Cooper | 84 Commercial Rd | London | E1 1LP | UK | 2024-02-01 | 2024-04-30 | 7 | 16 | 270 | 6100 | 2 | 1.2 | -54 | 7 |
| BR-017 | 80 | Trentino-Alto Adige | Trento Nord | Giulia Bianchi | 6 Via Brennero | Trento | 38121 | Italy | 2024-01-01 | 2024-03-31 | 10 | 7 | 580 | 22000 | 5 | 2.6 | -15 | 3 |
| BR-018 | 100 | RJ | Rio Centro | Carlos Silva | 188 Av. Atlântica | Rio de Janeiro | 22021-001 | Brazil | 2024-01-01 | 2024-03-31 | 70 | 17 | 3720 | 305000 | 16 | 3.1 | 15 | 4 |
| BR-019 | 95 | NY | Chelsea District | Emily Turner | 77 8th Ave | New York | 10011 | USA | 2024-04-01 | 2024-06-30 | 320 | 48 | 25600 | 9540000 | 130 | 4.7 | 99 | 9 |
| BR-020 | 99.5 | TX | Tech Park Branch | Rakesh Patel | 500 Tech Rd | Austin | 78758 | USA | 2024-01-01 | 2024-03-31 | 410 | 112 | 38700 | 13500000 | 180 | 5 | 100 | 4 |
What the 200 rows show
from the 200-row sample- 98.0median resolution_
rate - 12address countries
- 46address cities
- 100median accounts_
opened - 29median accounts_
closed - 5,958median total_
transactions
Median 98.0, from 0.0 to 100.0.
- string 8
- integer 6
- float 3
- date 2
Columns
19 columns in three groups| column | type | description | example |
|---|---|---|---|
| Text 8 columns | |||
branch_id | string | Unique identifier for the bank branchunique | BR-001 |
branch_name | string | Official name of the bank branch | Downtown Financial |
branch_manager | string | Full name of the branch manager | Sarah Martinez |
address_street | string | Street address of the branch | 123 Market St |
address_city | string | City where the branch is located | New York |
address_state | string | State or region of the branch | NY |
address_postal_code | string | Postal code of the branch location | 10001 |
address_country | string | Country where the branch is located12 countries | USA |
| Numbers 9 columns | |||
accounts_opened | integer | Number of new accounts opened during the reporting period0 or more | 400 |
accounts_closed | integer | Number of accounts closed during the reporting period0 or more | 78 |
total_transactions | integer | Total number of transactions processed during the reporting period0 or more | 32650 |
transaction_volume | float | Total monetary value of transactions processed during the reporting period0 or more | 11200000.45 |
customer_feedback_count | integer | Number of customer feedback submissions received during the reporting period0 or more | 152 |
customer_satisfaction_score | float | Average customer satisfaction score (e.g., 1-5 scale) for the reporting period1 to 5 | 4.9 |
net_promoter_score | integer | Net Promoter Score (NPS) for the branch during the reporting period-100 to 100 · optional | 95 |
issues_reported_count | integer | Number of customer issues or complaints reported during the reporting period0 or more · optional | 6 |
resolution_rate | float | Percentage of reported issues resolved during the reporting period (0-100)0 to 100 · optional | 98.5 |
| Dates and times 2 columns | |||
reporting_period_start | date | Start date of the reporting period for metrics | 2024-01-01 |
reporting_period_end | date | End date of the reporting period for metrics | 2024-03-31 |
Use it for
A finance dashboard
Resolution_
rate and a breakdown of address_ state. Excel, Power BI or Tableau. What pattern can you find in 200 rows?
A class exercise
Hand out the rows and one question. Everyone works from the same 200 rows.
- Branches200BR-00198.5BR-00299BR-003100
A software demo
Believable branches with branch_
name, branch_ manager and address_ street to fill a screen in front of a buyer.
blueprint · bank-branch-performance-metrics
Behind this dataset
Same schema. As many rows as you need.
These 200 rows came out of a blueprint — 19 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.
- Log branch location and staff count
- Track daily transactions
- Include account opening and closure events
- Flag low-performing branches
1 credit per row. New accounts start with 25 free credits.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- bank-branch-performance-metrics