top of page
Industrial Structure

Localisation Order Management

Integrating a Localisation Order Management system will enable the client to efficiently manage localisation processes for their content, including EPG press sheets, subtitles, and dubbing across multiple regions and languages. This integration will provide teams with a streamlined approach to coordinate localisation tasks, track progress in real-time, and ensure timely delivery of localised content. By reducing manual oversight and automating repetitive tasks, the client aims to enhance operational efficiency, minimise errors, and meet the demands of diverse audiences.

Project Overview

Our client, a global media broadcaster, was facing challenges in managing the increasing volume of localisation orders for content distributed across multiple non-linear and VoD platforms in multiple languages.

 

Their existing process involved exporting data from their Broadcast Management System (BMS), onto various offline documents such as Excel and manually liaising between their Order Management system and the relevant teams. 

 

Our client's main goal was to automate and optimise the localisation workflow by building a technical integration between their core BMS and their external Order Management system to help reduce manual workloads, improving on accuracy, and ensuring real-time processing of localisation orders.

Project Approach

Porterson were consulted by the client to stand up a technical integration to facilitate the export localisation orders from their Broadcast Management System (BMS) to their Order Management system for non-linear and VoD channels. 

 

Porterson designed the solution architecture to include following components:

  • Broadcast Management System (BMS): Where orders were created, containing details about the content, languages, localisation type (subtitling, dubbing, etc.)

  • Order Management system: The platform responsible for managing the localisation orders and workflows, assigning tasks to internal teams or external vendors, and tracking the progress of orders

  • JSON Data Structure: The format used for transmitting localisation order data between the BMS and Order Management system

  • Amazon S3: Used as the central repository for storing JSON files.

  • SNS (Simple Notification Service): Managed notifications between the systems to ensure the Order Management system was alerted when new localisation orders were exported to S3.

 

Porterson executed the following implementation steps to achieve the overall success of this Project:

  • Requirements Analysis and Mapping:

    • The project started by Porterson Business Analysts engaging with the client’s internal Engineering team to understand current state workflows, gaps and determine if any existing functionality could be leveraged for the required technical integration.

    • Porterson conducted detailed workshops with key stakeholders to outline the mandatory data required for localisation orders and once the data was identified, a mapping document was created to standardise the format of the JSON files. The document ensured that both the BMS and Order Management systems were aligned on the structure and interpretation of the data. Some of the key fields included:

      • Order and Client IDs

      • Title and Episode Information

      • Localisation type (Subtitling, Dubbing, etc)

      • Delivery Deadlines

  • Testing and Validation:

 

Porterson made sure thorough testing was conducted to ensure all components of the integration functioned as expected including:

  • Functional Testing: Working extensively with Engineering teams to validate the localisation orders were correctly formatted and were successfully transferring data between the BMS and Order Management system.

  • Data Validation: Ensuring that the JSON data transmitted from the BMS matched the data received and processed by the Order Management system

  • End-to-End Workflow Testing: Simulating realistic localisation orders and tracking their lifecycle from creation in the BMS to completion within the Order Management system. This included verifying that orders were properly assigned, and tasks were updated

  • Performance Testing: Testing the system’s ability to handle large volumes of orders being sent from the BMS to the Order Management System simultaneously.

 

Key benefits of the integration:

 

Workflow Automation

  • Automated Localisation Orders: The integration automated the process of transferring localisation orders and associated media files from the client’s BMS to Order Management system, eliminating manual data entry and significantly reducing processing time.

  • File Management: With media files stored in S3 and easily accessible via secure URLs, the integration made file handling more efficient.

 

Improved Communication and Real-Time Updates

  • Instant Notifications via SNS: The use of SNS ensured that the Order Management system was notified immediately of any new orders or updates, enabling them to start localisation tasks without delays.

  • Reduced manual intervention: The automated behaviour of notifications and file transfers reduced the need for manual follow-ups, leading to faster localisation turnaround times.

 

Improved Accuracy and Scalability

  • Data Accuracy: Using JSON format ensured that all order details were accurately transmitted within a single source between systems, reducing errors and miscommunication between teams.

  • Scalability: The use of S3 and SNS ensured that the system could easily handle increased volumes of orders and allowed our client to expand localisation efforts.

 

Quicker Turnarounds

Accelerated Localisation Process: By automating the end to end workflow, the integration reduced the time it took to initiate and complete localisation tasks, enabling faster delivery of localised content to clients.

bottom of page