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.
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
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
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.
This listing offers one pricing dimension: Product Access, billed as Units at no charge. It is a free sample dataset covering Parisian visitor flows for 2021. Since there is only one option, there are no tiers, instance sizes, or usage add-ons to compare. Subscribing grants you access to the product. The dataset draws on anonymized mobile network data to provide retail-focused attendance and pedestrian traffic indicators for a defined area.
Top-of-mind questions for buyers
What does one unit of Product Access grant me?
One unit grants access to the sample dataset covering Parisian visitor flows for 2021. It is a fixed sample, not a live subscription. There are no additional units to buy or scale. Subscribing gives you access to the retail-focused attendance and pedestrian traffic indicators included in the sample.
What indicators does this retail sample dataset actually contain?
The retail sample provides daily attendance and per 30-minute slot counts, socio-demographic profiles, catchment area data, and footfall and penetration rates. These come from anonymized mobile network data. The dataset covers a defined study area rather than live or ongoing data.
Does the free sample give me live or updated data over time?
No. This is a fixed 2021 sample dataset, not a live feed. It does not update on a daily or monthly basis. It lets you evaluate the data format and indicator types using historical Parisian flows. Contact the vendor for live or ongoing data needs.
www.orange-business.com
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Aucun remboursement n'est proposé par le produit.
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Deepgram is the enterprise Voice AI platform for building and scaling real time voice applications on AWS. This product listing contains multiple versions of the flux model which can each transcribe a set of languages. See version details for more information.
You will be billed $0.0078/min as described by https://deepgram.com/pricing.
Our APIs for Nova Speech to Text (STT) are natively available in the new SageMaker Bi-Directional Streaming API. Additional native touchpoints with Amazon Bedrock, Lex, and Amazon Connect make it simple to compose full voice experiences with the cloud services your teams already trust.
Deepgram is the enterprise Voice AI platform for building and scaling real time voice applications on AWS. This product listing contains multiple versions of the flux model which can each transcribe a set of languages. See version details for more information.
You will be billed $0.0077/min as described by https://deepgram.com/pricing. Private pricing available upon request.
Our APIs for Nova Speech to Text (STT) are natively available in the new SageMaker Bi-Directional Streaming API. Additional native touchpoints with Amazon Bedrock, Lex, and Amazon Connect make it simple to compose full voice experiences with the cloud services your teams already trust.
Deepgram is the enterprise Voice AI platform for building and scaling real time voice applications on AWS. This product listing contains multiple versions of the flux model which can each speak a set of languages and voices. See version details for more information. Deepgram charges are billed per request as described by https://deepgram.com/pricing
Our APIs for Nova Speech to Text (STT) are natively available in the new SageMaker Bi-Directional Streaming API. Additional native touchpoints with Amazon Bedrock, Lex, and Amazon Connect make it simple to compose full voice experiences with the cloud services your teams already trust.
By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, the PhysicsX platform - Flux - unlocks new levels of optimization and automation in design, manufacturing, and operations, empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.