Learn how to identify risks to secure sensitive data with the data quality rule. What is its difference from SWG?
Data Quality Rules Overview
Data Quality Rule is a powerful method to deliver trusted information to data consumers. These are used to deliver trusted information to data consumers, by defining the rules that must be met for a set of master data elements. Also, it is similar to the data validation that can be applied in many programming environments.
However, with Data Quality Rules, you can create customized rules that meet the specific needs of your business. For example, you can define that “employee numbers must be unique” and “employee numbers must not contain any special characters.” This is instead of just selecting one of the predefined validation options for number fields.
Data Quality Rules are typically associated with both master data and transactional data in your enterprise. However, they can also be applied to data from external sources (i.e., customer and vendor data from JDE or other 3rd party systems). The Data Quality Rules engine applies the defined rules against any incoming data.
This is either before it is processed or at runtime. Thus, enabling you to define how trusted information should be delivered to different types of applications and users throughout your enterprise.
Data Quality Rules Application
Data Quality Rules are part of the Secure Web Gateway (SWG) product. But they can also be defined without SWG. So, in which case they don’t include additional security features such as Access Control or Data Masking features.
However, Data Quality rules can still be applied to both secure and unsecured data sources. So, Data Quality Rules are not meant to replace Master Data Management (MDM) solutions. These are such as JDE MDM or third-party MDM solutions.
They’re a complement to MDM solutions as they allow you to enforce more complex requirements. This is then what can be defined using standard MDM concepts such as validation keys, business keys, and hierarchies. Data Quality Rules are based on a standard XML schema known as XQDML.
This is an acronym for eXtensible Querying and Decision Making in eXtensible Markup Language. Also, this structure provides an open architecture for the future addition of new attributes and new types of rules. This is to accommodate future changes in business requirements or regulatory standards.
Data Validation Security Quality
Data Quality Rules can be applied to a single field (such as an e-mail address). Also, it includes a complex structure (such as an address) depending on the business needs. The Data Quality Rules engine can be used to validate the data in a transactional system, to verify that the data meets specific business rules.
Extensive testing has been performed to ensure that Data Quality Rules work with existing JD Edwards applications. These are such as Oracle JD Edwards EnterpriseOne, JDE/JDX, and JDE/DXC. Data Quality Rules are not a substitute for existing security measures such as Access Control.
But rather are a complement to them. They are used to ensure that trusted information is delivered only to those users and applications that have been granted access to the information. When combined with SWG, Data Quality Rules can be applied on top of Secure Web Gateway’s existing access control mechanisms.