Maintain the visibility of data automation: logging, auditing and error handling of the bridge of knowledge and action

The bridge of knowledge and action workflow automation solution requires almost no active maintenance , Because it will always run smoothly in the background . Although convenient , But there may also be a worrying problem ： Since daily intervention is no longer required , Whether the enterprise will lose the visual control over the data ？ What if something goes wrong and nobody notices it ？

The bridge of knowledge and action solves these problems through a series of visibility functions , Ensure that the data is completely transparent in the automated process . Maintaining visibility into data enables organizations to generate meaningful reports , Or conduct an audit 、 Respond to handling faults , And ensure that the data processing can still be controlled by manual operation after problems occur in the automation process .

Why visibility is so important ？

In addition to focusing on data flow , The following specific reasons also require a high degree of visibility from automation solutions ：

• Generate audits and reports to cross check and understand data processing
• Non repudiation of trading partners
• Respond intelligently to errors and faults

This article discusses the above challenges and features in the data processing platform , To ensure that visibility is not a problem for users .

Audit and reporting

Auditing and reporting help ensure that data is properly managed and processed . In the data automation platform , Auditing can have two different meanings : Audit transactions handled by the application ( for example , Generate an audit for data sent by a particular trading partner ), And the audit automation platform itself .

Transaction audit

A transaction audit provides a record of the data processed by an automated workflow . These audits can be cross checked with external records , To ensure that all parties （ For example, trading partners ） Agree on the correct handling of key data sets .

Generating an accurate transaction audit requires the ability to filter out unrelated transactions . Highlight specific transactions that are associated within a specified time frame （ for example , From the same trading partner ） Helps ensure that no data is missed or mishandled .

Platform audit

It is also necessary to change the configuration of the audit data automation platform . These audits help resolve errors and failures after configuration changes , In order to prepare for configuration rollback or better understand and debug problems .

Platform audits require that automated platforms have user scenarios that link configuration changes to specific users .

Non repudiation

Non repudiation means to ensure that the trading partner will not transmit correctly to your organization 、 Objection to receiving or otherwise processing their data . In rare cases where important data are missing , Non repudiation helps protect organizations from potential liability .

Automation solutions need to be able to provide external parties with evidence that their data has been sent or received correctly .

Errors and alerts

System administrators need to be able to understand and react to failures that occur during data processing . The most common form of error response is in the form of an alarm —— Whenever there is a problem with the automated workflow , Administrators receive alerts via email or text .

More complex error responses help reduce the burden on system administrators to monitor and respond to alerts , And it can be designed to solve or eliminate the emergency situation that may be caused by processing failure . Error response and alerts work together to ensure that there is no risk in automating day-to-day data management tasks .

How does the bridge of knowledge and action maintain data visibility

The bridge of knowledge and action is designed to keep data visible even in automated workflows . The bridge of knowledge and action supports intelligent audit through a set of enterprise functions detailed below 、 Non repudiation and error management .

Auditing in the bridge of knowledge and action

The bridge of knowledge and action simplifies the process of transaction audit and platform audit . The transaction log in the bridge of knowledge and action provides searchable transaction records , Use the metadata associated with each transaction to ensure that similar transactions can always be grouped together through simple search terms in the transaction log . Besides , The bridge of knowledge and action supports adding custom metadata to transactions , To maintain fine control over how transactions are grouped .

The bridge of knowledge and action also provides a convenient audit log , Facilitate platform audit . Each knowledge and action bridge user is associated with the changes they make in the application , So that managers and other team members can trace the use of users when necessary . Combined with the role system , Make sure that users do not exceed the access rights they need , This helps restore the configuration from .

The automatic non repudiation of the bridge of knowing and doing

The bridge of knowledge and practice will automatically generate and request receipts when exchanging data with trading partners （ for example MDN）. Before the bridge of knowledge and action marks the transaction as successful , Receipt from the other party is required . let me put it another way , The bridge of knowledge and action does not allow the possibility of data being processed but not confirmed , Because this will lead to the most risky mistake .

Since the receipt is part of the transaction itself , therefore Users of the bridge of knowledge and action do not need to assume any further responsibility to ensure non repudiation .

Configure alerts and custom error responses in the bridge of knowledge and action

The bridge of knowledge and action supports global alerts and specific custom error responses . Global alerts only need to specify an e-mail address for the appropriate system administrator , To ensure that data processing failures are never ignored .

The custom workflow of the bridge of knowledge and action also supports the intelligent processing of specific errors —— When an error occurs during processing , Each element in the automated data pipeline can invoke a custom workflow . therefore , System administrators can make full use of the flexibility of the knowledge and action bridge workflow to configure their own error handling logic .

Combine , The error handling function of the bridge of knowledge and action ensures that administrators can solve data processing errors through personal intervention or intelligent automatic error recovery .

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