Listing Thumbnail

    Flux Vision Retail - Parisian flows sample 2021

     Info
    Deployed on AWS
    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.

    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

    DescriptionValue
    Update FrequencyMonthly average based on the year 2021
    Data Source(s)Orange mobile network technical events & CRM data
    Original Publisher of dataFlux Vision, Orange Business Services
    Data Creation Date2021
    Data Modification DatePrepackaged 2021 data, no modification applicable
    Geographic coverage751083003 : Iris Champs-Elysées sector Galeries Lafayette - 751010104 : Louvre area
    Time period coverageTypical 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 dataAnonymous 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?


    About Your Company

    Details

    Delivery method

    Deployed on AWS
    New

    Introducing multi-product solutions

    You can now purchase comprehensive solutions tailored to use cases and industries.

    Multi-product solutions

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Flux Vision Retail - Parisian flows sample 2021

     Info
    This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Vendor refund policy

    Aucun remboursement n'est proposé par le produit.

    How can we make this page better?

    We'd like to hear your feedback and ideas on how to improve this page.
    We'd like to hear your feedback and ideas on how to improve this page.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    AWS Data Exchange (ADX)

    AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.

    Additional details

    Data sets (1)

     Info

    You will receive access to the following data sets.

    Data set name
    Type
    Historical revisions
    Future revisions
    Sensitive information
    Data dictionaries
    Data samples
    Flux Vision Retail - Parisian flows sample 2021
    No historical revisions
    All future revisions
    Not included
    Not included

    Resources

    Vendor resources

    Similar products