Why Truugo?

In this section, we describe the service's application areas and address practical challenges to be solved, explaining the necessity for Truugo.

High data quality is the prerequisite for process automation

Electronic data interchange (EDI) is pivotal for process automation in a networked business landscape. In these multi-party scenarios, ensuring data quality relies on systematic documentation, testing, and quality assurance. Truugo is a documentation and testing platform tailored to these needs, adaptable to various contexts where data quality is paramount.

Data quality is only as good as your documentation

The crucial part of the data interchange is the wire format - a mutually agreed-upon format facilitating information transmission between organizations. When this format lacks accurate documentation (message implementation guideline), challenges and costs arise concerning data integrity, interoperability, deployments, scalability, and maintenance.

Despite these challenges, guidelines are often manually maintained in Word documents, making verifying their integrity and quality impossible. Additionally, translating those requirements manually to validation rules is laborious and prone to human errors. Mixed documentation leads to unnecessary clarifications and varied implementations, making subsequent changes cumbersome and costly. These costs escalate as companies expand their networks.

Truugo provides well-structured tools for managing data quality

Truugo strives to deliver cutting-edge tools for effectively managing data quality, extending also beyond the realm of EDI to encompass documentation, conformance testing, quality assurance, and detailed error reporting across various testing scenarios. In addition, all functions are interconnected, ensuring that documentation and testing rules are updated simultaneously. That significantly saves resources in terms of maintenance, with the most substantial savings stemming from always up-to-date and aligned specifications.

Truugo is instrumental in elevating data quality, streamlining operations, mitigating business risks, and enhancing customer experience.

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