How a self-learning address validation solution repairs 90% of addresses instantly without the need for human intervention.
If you’re a logistics company, one of your most valuable assets is your address data. If your address data is poor quality, you can’t optimize routes effectively, your drivers waste time finding where to drop off packages, and, in the worst case, you can’t deliver at all.
A manual address validation bottleneck
Address data can be notoriously tricky to validate and interpret, especially in emerging markets where language, alphabets, address structure and rules can vary dramatically. For one logistics company, the only way they could find to manage data quality was to have a team of 30 people manually verifying the data and working shifts to meet overnight delivery deadlines. But as the company expanded, this manual process was becoming a serious bottleneck.
The CloverDX services team came in to solve the company’s address data problems, paving the way for business growth.
The solution validates, geo-locates and repairs almost 90% of addresses instantly, without the need for human intervention
A data validation and cleansing framework
Working with multiple third-party systems (including Google Maps, HERE maps and Baidu), we created a data validation and cleansing framework, along with a user interface so that teams could interact easily with the solution. The framework can be tailored to country-specific address structures, validation rules and legal restrictions using rules that can be easily modified to support additional countries without the need for expensive coding.
The solution validates, geo-locates and repairs almost 90% of addresses instantly, so the hard-to-scale bottleneck of 30 people has been removed. Human interactions in the address validation process have been reduced by 90% (and are still decreasing with the system’s self-learning capability) and as a result, the company can now readily expand their business.
Data integration software and ETL tools provided by the CloverDX platform (formerly known as CloverETL) offer solutions for data management tasks such as data integration, data migration, or data quality. CloverDX is a vital part of enterprise solutions such as data warehousing, business intelligence (BI) or master data management (MDM). CloverDX Designer (formerly known as CloverETL Designer) is a visual data transformation designer that helps define data flows and transformations in a quick, visual, and intuitive way. CloverDX Server formerly known as CloverETL Server) is an enterprise ETL and data integration runtime environment. It offers a set of enterprise features such as automation, monitoring, user management, real-time ETL, data API services, clustering, or cloud data integration.