As enterprise data becomes more expansive, it also becomes more convoluted. Poor management of high-volume data can quickly create chaos for an organization’s system of records, thus compromising data integrity.
But data mapping tools can help organizations avoid this nightmare scenario by maintaining clean records and ensuring that duplicate data is identified and eliminated. When choosing a decision management system for your data, pick a solution that offers all of the mapping tools you need to ensure integrity at any scale.
Here are some key data mapping tools you’ll want to consider.
Address Validation
Addresses in customer and contact lists are a common source of duplicate data in a master system of record. Thanks to small inconsistencies in how addresses are filled out in forms, a single address can produce multiple data entries across your records.
A decision management system should offer address validation as a simple tool to standardize address entry in forms to eliminate the possibility of duplicate entries. The best way to do this is through a third-party solution like SmartyStreets, which references the U.S. Postal Service’s address system to validate addresses in any list. This system ensures that all addresses entered are matched to an official USPS-recognized address, thus validating those entries before they’re submitted into the system.
Interceptor Cleaning Rules
Although source systems may not be accessible to your business when looking to change or correct “dirty” data, an interceptor can implement a system of rules to identify dirty data and convert it when it’s entered into reporting system databases.
An automated interceptor helps standardize your master records data instantly, thus preserving the integrity of your master data in spite of flaws discovered in source data.
