"transactiegegevens worden vervolgens" тілін Ағылшын тіліне аударыңыз

EN Shopper opens Alipay and scans the QR code. The transaction details are then displayed on the screen.

• Shopper opens Alipay
• scans the QR

EN Shopper opens WeChat and scans the QR code. The transaction details are then displayed on the screen.

• Shopper opens WeChat
• scans the QR

EN Log on to Element Manager, then expand Configuration, then Telephony, then Call Detail Recording

• Manager
• then expand Configuration
• then Telephony
• then Call Detail

EN Shopper is directed to WeChat Pay, where transaction details are displayed.

• Shopper is directed
• WeChat Pay

EN Identifies patterns and trends, such as which customers are likely to delay payment. B2B transaction data can be stored for up to 2 years to enhance the data sets for analysis.

• Identifies patterns
• trends
• customers are likely
• delay payment
• years to enhance

EN The resulting usage behavior of you as well as your interests can then be used to create a user profile in order to then create visible advertisements for you within and outside of the respective platform

• resulting usage behavior
• interests can then
• used to create
• then create visible
• within
• platform

EN Additional information regarding IP addresses, transactional records and other customer records may be available.

• Additional information regarding
• addresses
• transactional records

EN The information on this page has been compiled by Adyen based on actual transaction data, market knowledge and customer payment preferences

• market knowledge
• customer payment preferences

EN Transaction information (merchant name, description of the transaction, payment amount)

• merchant name
• payment amount

EN One system for all transactional data

EN Leveraging historical and current transactional data, analytics can identify trends and patterns

• Leveraging historical
• analytics can identify
• patterns

EN Armed with realtime business transaction data, supply chain analytics offers end-to-end visibility and refines trading partner performance management to drive revenues and profit.

• Armed with realtime
• supply chain analytics
• end-to-end visibility
• refines trading partner
• management to drive

EN Timely, accurate and complete B2B transaction data helps ensure collaboration and prompt resolution when issues occur.

• Timely
• accurate
• ensure collaboration

EN Visualize the volumes of B2B transaction data from solutions, such as OpenText™ Trading Grid, in conjunction with IoT-sources to make informed decisions and send directed notifications.

• Visualize the volumes
• Trading Grid
• conjunction with IoT-sources
• informed decisions
• send directed

EN Augment data from sensors and other IoT devices with other supply chain data, such as warehouse and transactional information, to provide more granular visibility.

• warehouse
• granular

EN use of transactional data for the purposes of making and receiving payments and pursuing recovery of debts was necessary;

• purposes of making
• receiving payments
• necessary

EN Our partnership with banks allows us to process financial transaction data from consumers into anonymized reports and create targeted cashback campaigns.

• partnership with banks
• process financial transaction
• consumers into anonymized
• create targeted cashback

EN You’ll have unlimited access to all real-time dashboards based on the aggregated and anonymized transactional data of Cake users.

• real-time dashboards based
• aggregated
• Cake

EN The messages often includes transaction details gleaned through social engineering or a computer intrusion

• messages often includes
• engineering
• computer intrusion

EN PremiumWebCart IPN is a very useful utility, which enables you not only to track transaction data,?

• very useful utility
• track transaction

EN One system for all transactional data

EN will maintain local copies of customer and transaction data for compliance

• maintain local copies
• customer

EN Additional information regarding IP addresses, transactional records and other customer records may be available.

• Additional information regarding
• addresses
• transactional records

EN Financial service providers store their customers’ banking, assets and transaction data, all of which are extremely sensitive.

• Financial service providers
• banking
• assets
• extremely

EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.

• Inferred
• Derived Information
• infer
• derive data elements
• analysing our relationship
• example
• generate propensities
• attributes
• scores for marketing
• security
• fraud

EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.

• Inferred
• Derived Information
• infer
• derive data elements
• analysing our relationship
• example
• generate propensities
• attributes
• scores for marketing
• security
• fraud

EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.

• Inferred
• Derived Information
• infer
• derive data elements
• analysing our relationship
• example
• generate propensities
• attributes
• scores for marketing
• security
• fraud

EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.

• Inferred
• Derived Information
• infer
• derive data elements
• analysing our relationship
• example
• generate propensities
• attributes
• scores for marketing
• security
• fraud

EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.

• Inferred
• Derived Information
• infer
• derive data elements
• analysing our relationship
• example
• generate propensities
• attributes
• scores for marketing
• security
• fraud

EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.

• Inferred
• Derived Information
• infer
• derive data elements
• analysing our relationship
• example
• generate propensities
• attributes
• scores for marketing
• security
• fraud

EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.

• Inferred
• Derived Information
• infer
• derive data elements
• analysing our relationship
• example
• generate propensities
• attributes
• scores for marketing
• security
• fraud

EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.

• Inferred
• Derived Information
• infer
• derive data elements
• analysing our relationship
• example
• generate propensities
• attributes
• scores for marketing
• security
• fraud

EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.

• Inferred
• Derived Information
• infer
• derive data elements
• analysing our relationship
• example
• generate propensities
• attributes
• scores for marketing
• security
• fraud

EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.

• Inferred
• Derived Information
• infer
• derive data elements
• analysing our relationship
• example
• generate propensities
• attributes
• scores for marketing
• security
• fraud

EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.

• Inferred
• Derived Information
• infer
• derive data elements
• analysing our relationship
• example
• generate propensities
• attributes
• scores for marketing
• security
• fraud

EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.

• Inferred
• Derived Information
• infer
• derive data elements
• analysing our relationship
• example
• generate propensities
• attributes
• scores for marketing
• security
• fraud

EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.

• Inferred
• Derived Information
• infer
• derive data elements
• analysing our relationship
• example
• generate propensities
• attributes
• scores for marketing
• security
• fraud

EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.

• Inferred
• Derived Information
• infer
• derive data elements
• analysing our relationship
• example
• generate propensities
• attributes
• scores for marketing
• security
• fraud

EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.

• Inferred
• Derived Information
• infer
• derive data elements
• analysing our relationship
• example
• generate propensities
• attributes
• scores for marketing
• security
• fraud

EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.

• Inferred
• Derived Information
• infer
• derive data elements
• analysing our relationship
• example
• generate propensities
• attributes
• scores for marketing
• security
• fraud

EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.

• Inferred
• Derived Information
• infer
• derive data elements
• analysing our relationship
• example
• generate propensities
• attributes
• scores for marketing
• security
• fraud

EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.

• Inferred
• Derived Information
• infer
• derive data elements
• analysing our relationship
• example
• generate propensities
• attributes
• scores for marketing
• security
• fraud

EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.

• Inferred
• Derived Information
• infer
• derive data elements
• analysing our relationship
• example
• generate propensities
• attributes
• scores for marketing
• security
• fraud

EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.

• Inferred
• Derived Information
• infer
• derive data elements
• analysing our relationship
• example
• generate propensities
• attributes
• scores for marketing
• security
• fraud

EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.

• Inferred
• Derived Information
• infer
• derive data elements
• analysing our relationship
• example
• generate propensities
• attributes
• scores for marketing
• security
• fraud

EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.

• Inferred
• Derived Information
• infer
• derive data elements
• analysing our relationship
• example
• generate propensities
• attributes
• scores for marketing
• security
• fraud

EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.

• Inferred
• Derived Information
• infer
• derive data elements
• analysing our relationship
• example
• generate propensities
• attributes
• scores for marketing
• security
• fraud

EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.

• Inferred
• Derived Information
• infer
• derive data elements
• analysing our relationship
• example
• generate propensities
• attributes
• scores for marketing
• security
• fraud

EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.

• Inferred
• Derived Information
• infer
• derive data elements
• analysing our relationship
• example
• generate propensities
• attributes
• scores for marketing
• security
• fraud

EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.

• Inferred
• Derived Information
• infer
• derive data elements
• analysing our relationship
• example
• generate propensities
• attributes
• scores for marketing
• security
• fraud