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| Customer ID | First Name | Last Name | Phone | Items Bought | Money Spent | Last Login | |
|---|---|---|---|---|---|---|---|
| #00001 | Alia | Willams | +143-148-60985 | info@example.com | 250 | $4500 | 10/10/2019 4:30pm |
| #00002 | Nathan | James | +278-119-88790 | info@example.com | 390 | $3500 | 12/10/2019 2:37am |
| #00003 | Kelly | Thomas | +125-117-88763 | info@example.com | 135 | $2400 | 14/10/2019 7:50pm |
| #00004 | Steve | Smitth | +334-676-66530 | info@example.com | 765 | $7890 | 18/10/2019 9:30pm |
| #00005 | Kevin | Oliver | +435-667-99808 | info@example.com | 763 | $5690 | 21/10/2019 3:20pm |
| Customer ID | First Name | Last Name | Phone | Items Bought | Money Spent | Last Login | |
|---|---|---|---|---|---|---|---|
| #00001 | Alia | Willams | +143-148-60985 | info@example.com | 250 | $4500 | 10/10/2019 4:30pm |
| #00002 | Nathan | James | +278-119-88790 | info@example.com | 390 | $3500 | 12/10/2019 2:37am |
| #00003 | Kelly | Thomas | +125-117-88763 | info@example.com | 135 | $2400 | 14/10/2019 7:50pm |
| #00004 | Steve | Smitth | +334-676-66530 | info@example.com | 765 | $7890 | 18/10/2019 9:30pm |
| #00005 | Kevin | Oliver | +435-667-99808 | info@example.com | 763 | $5690 | 21/10/2019 3:20pm |
| Customer ID | First Name | Last Name | Phone | Items Bought | Money Spent | Last Login | |
|---|---|---|---|---|---|---|---|
| #00001 | Alia | Willams | +143-148-60985 | info@example.com | 250 | $4500 | 10/10/2019 4:30pm |
| #00002 | Nathan | James | +278-119-88790 | info@example.com | 390 | $3500 | 12/10/2019 2:37am |
| #00003 | Kelly | Thomas | +125-117-88763 | info@example.com | 135 | $2400 | 14/10/2019 7:50pm |
| #00004 | Steve | Smitth | +334-676-66530 | info@example.com | 765 | $7890 | 18/10/2019 9:30pm |
| #00005 | Kevin | Oliver | +435-667-99808 | info@example.com | 763 | $5690 | 21/10/2019 3:20pm |
| Country | Languages | Population | Median Age | Area (Km²) |
|---|---|---|---|---|
 Hong Kong
|
Chinese (official), English | 7,39,000 | 31.3 | 1106 |
 Australia
|
English 79%, native and other languages | 23,630,169 | 37.3 | 7,739,983 |
 Tanzania
|
Swahili (national), English, Arabic, Chaga, Makonde | 57,353,670 | 39.1 | 945,086 |
 Russia
|
Russian, others | 142,467,651 | 38.4 | 17,076,310 |
 Germany
|
German, Danish, Low Rhenish, Romani | 82,081,261 | 41.1 | 357,386 |
| Data retrieved from Crowdnub admin. | ||||
| # | Title | Module | Reporter | Status | Owner | Severity | Created | Updated | Due |
|---|---|---|---|---|---|---|---|---|---|
| 1 | App crashes | Main App | Lewis | Open | Micheal | High | Aug-10, 2019 | Sep-14, 2019 | Oct-20, 2019 |
| 2 | Saving file | Form Screen | James | In Progress | Donald | Low | Aug-10, 2019 | Sep-14, 2019 | Oct-20, 2019 |
| 3 | Login fail | Main App | Powell | Open | Glory | High | Aug-10, 2019 | Sep-14, 2019 | Oct-20, 2019 |
| 4 | Saving file | Form Screen | James | In Progress | Donald | Low | Aug-10, 2019 | Sep-14, 2019 | Oct-20, 2019 |
| 5 | Login fail | Main App | Powell | In Progress | Glory | High | Aug-10, 2019 | Sep-14, 2019 | Oct-20, 2019 |