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We are committed to provide you with the necessary tools and resources to make your integration process smooth and successful and to help you build a scalable, secure, and efficient solution. Explore our reference architecture diagrams and should you have any questions or need further assistance, please contact api-support@secutix.com
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| Use case | Description | Reference Architecture |
|---|---|---|
| CRM Integration | This is the reference architecture guide for integrating S-360 with your CRM. This guide provides a step-by-step approach and best practices to seamlessly connect these two essential components, enabling you to synchronize data and maximize the value of your CRM system. | |
| Website Integration - Catalog display | In this scenario, you | |
| Website Integration - Partial Integration | With this approach, you can utilize our APIs to create a unique ticketing experience up until the payment step. At that point, you can seamlessly redirect users to our standard ticketshop to complete the payment process. This architecture offers the flexibility to design a tailored ticketshop while leveraging the reliability and security of our default payment system. | |
| Website Integration - End to End Integration | In this scenario, you have the freedom to create a fully customized ticketshop experience using only our APIs. From catalog display to ticket purchase and payment, every step can be tailored to your specific requirements. This architecture empowers you to build a seamless ticketing solution that aligns precisely with your brand and business needs. | |
| Ticket Distribution Integration | This is the reference architecture guide for integrating S-360 with ticket distribution companies. This guide provides a step-by-step approach and best practices to seamlessly connect your distribution platform with S-360's powerful APIs, enabling you to access S-360's extensive cat | |
Data analytics integration | This is the reference architecture guide for integrating S-360 with your datalake. This guide provides a step-by-step approach and best practices to seamlessly connect these two components, enabling you to maximize the accuracy of your data and optimize the value you get out of it. |
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