Flux Vision Retail - Parisian flows sample 2021
Provided By: Orange Business
Flux Vision Retail - Parisian flows sample 2021
Provided By: Orange Business
Flux Vision relies on technical data coming from mobile networks to build statistics on the mobility of the overall population. The algorithms guarantee irreversible anonymization by deleting all personal data and making it impossible to identify people individually. These exclusive algorithms are the result of several years of research and comply with the recommendations of the CNIL and the GDPR. This sample represents the flows evolution in two zones in Paris based on 6 monthly averages 2021.
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Payment schedule: Upfront payment | Offer auto-renewal: Not supported
$0 for 6 months
Overview
Flux Vision Retail by Orange Business
Flux Vision relies on technical data coming from mobile networks and as such is as accurate as our capability to model the network's coverage. Large number mobile radio network technology specifics are key in the construction of the spatial and temporal analytics modeling technology used by Flux Vision. Flux Vision capitalizes a deep understanding of the implications of the evolution of the network settings and the way it communicates with the mobile device fleet (which is also in continuous evolution). This is the key element that allows Flux Vision to have a probabilistic approach for the location of mobile phone users and further build reliable mobility & attendance indicators, which are reflecting business vision, continuously alimented by experiences on market with customers.
Use Cases
• Gain insight on the mobility pattern of specific profile (length of visit, socio-demographic data of customers…)
• Determine the best location to establish malls, analyzing traffic and travel times between living areas and potential catchment areas
• Organize services depending on attendance peaks
• Better know the distribution and origin of its customers
• Analyze the flow of visitors and understand behaviors of customers
• Compare the performance of its own business and competitor sites
Metadata
| Description | Value |
|---|---|
| Update Frequency | Monthly average based on the year 2021 |
| Data Source(s) | Orange mobile network technical events & CRM data |
| Original Publisher of data | Flux Vision, Orange Business Services |
| Data Creation Date | 2021 |
| Data Modification Date | Prepackaged 2021 data, no modification applicable |
| Geographic coverage | 751083003 : Iris Champs-Elysées sector Galeries Lafayette - 751010104 : Louvre area |
| Time period coverage | Typical days of April – Sept 2021 |
| Is historical data “point-in-time” | YES |
| Data Set(s) Format(s) | zipped CSV files, corresponding data dictionary notes |
| Raw or scraped data | Anonymous statistics |
Tables
Example of table "Attedance_Daily_Age" :
| Period | Day | Zone | LengthOfStay | Age | Volume |
|---|---|---|---|---|---|
| 202104 | Sunday | 751010104 | 30min3h | 18-24 | 1613 |
| 202104 | Sunday | 751010104 | 30min3h | 25-34 | 2763 |
| 202104 | Sunday | 751010104 | 30min3h | 35-44 | 1783 |
| 202104 | Sunday | 751010104 | 30min3h | 45-54 | 1660 |
| 202104 | Sunday | 751010104 | 30min3h | 55-64 | 1572 |
Data Set Specification
The total population is statistically represented thanks to our adjustment processes and not only Orange subscribers. The dataset includes monthly averages made over the year 2021 (6 months: April to September).
The dataset includes 9 files valuing :
- The volume of visitors by day type calculated on a monthly average basis from April to September 2021. Attendance_Daily
- The volume of visitors by day type calculated on a monthly average basis from April to September 2021 and by 30mn slots. Attendance_30min
- The volume of visitors by day type calculated on a monthly average basis from April to September 2021 and by IRIS of activity areas. Attendance_Daily_ActivityArea_IRIS
- The volume of visitors by day type calculated on a monthly average basis from April to September 2021 and by IRIS of overnight areas. Attendance_Daily_OvernightArea_IRIS
- The volume of visitors by day type calculated on a monthly average basis from April to September 2021 and by age. Attendance_Daily_Age
- The volume of visitors by day type calculated on a monthly average basis from April to September 2021 and by gender. Attendance_Daily_Gender
- The volume of visitors by day type calculated on a monthly average basis from April to September 2021 and nationality. Attendance_Daily_Nationality
- The volume of visitors by day type calculated on a monthly average basis from April to September 2021 and by Province. Attendance_Daily_Province
- The volume of visitors by day type calculated on a monthly average basis from April to September 2021 and by SPC. Attendance_Daily_SPCGéoLife
Data Dictionnary
| Variable | Signification | Comments |
|---|---|---|
| Period | Defined period to create average data : 6 months from April to September 2021 | Format: YearMonth |
| DayType | Weekday / Saturday / Sunday | Weekdays (average of labour days of the month) / Saturday (average of saturdays of the month) / Sunday (average of sundays of the month) |
| Volume | Total volume | Whole value - if the number of volume is >=20 |
| Hour | 30mn slot field: 00:00-00:30 - 23:00-23:30. | Operational field |
| Zone | Observed area | 751083003 : Iris Champs-Elysées sector Galeries Lafayette - 751010104 : Louvre area |
| Type | Visitors’ nationality | National / International according to the visitors' SIM card nationality |
| Nationality | Countries of the visitor’s nationality | Optional field, to group the countries is proposed |
| SPC Geolife | Geolife SPC class of visitors (11 values) : Suburban wealthy family / Peri-urban growing / Popular / Second home / Rural growing / Rural working class / Rural traditional / Urban middle class / Urban underprivileged / Urban growing / Urban wealthy family | Optional field according a sociological clustering of the difference living area in France. |
| Gender | Visitor’s gender: M / F / NR | Optional field |
| Age | Age group: <18 ; 18-24 / … / >65 ; NR | Optional field |
| ActivityArea | Place of main activity during the day (workplace...) | Optional field |
| OvernightArea | Place of overnight stay the night before (residence or accommodation).” | Optional field |
Pricing Information
These data samples are accessible to have an example of Flux Vision Retail data, based on demand. If more local data or explanation are needed, please contact us for a free estimate quote.
Subscription Verification Request Information
Flux Vision team requires the name of the company, the full name of person In request, the position (job naming/ role) and the reason of the demand
Need Help?
- If you have questions about our products, contact us using the contact information below: fluxvision.support@orange.com
About Your Company
Provided By
Fulfillment Method
AWS Data Exchange
Data sets (1)
You will receive access to the following data sets
Revision access rules
No historical revisions | All future revisions
Name | Type | Data dictionary | AWS Region |
|---|---|---|---|
Flux Vision Retail - Parisian flows sample 2021 | Not included | EU (Frankfurt) |
Usage information
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