In 2012, Experian Data Quality partnered with the Common App to provide real-time address validation to users of the system for the college application process. This solved a multitude of data problems that colleges were having with getting acceptance letters to the right students. The original expectation had been that students wanted to get the information right and therefore would update the application address fields appropriately.
With deregulation across the utilities industry, it is more important than ever to understand your customers. Here at Experian Data Quality, we can help. Our solutions can give you a better sense of the customer information you have and provide you with additional data attributes. This will help your organization gain a better picture of who your customers are, and therefore personalize each customer interaction through enhanced insights.
If companies are collecting data, but it's inaccurate or outdated, they're only going to get themselves into trouble. Here are three examples of data quality best practices.
Deep in the heart of Texas, a consortium of professionals from the retail banking industry met last week for the seventh annual Consumer Bankers Association (CBA) LIVE conference. While a majority of the conference’s 1,400 attendees represent organizations across the financial services industry, they appear to share similar challenges, interests, and concerns. Specifically, keynotes and highly-attended track sessions focused on key themes, including what the current political climate means for regulatory bodies such as the Consumer Financial Protection Bureau (CFPB), how the relationship between banks and fintech companies is evolving, and how banks should be leveraging digital channels to create engaging customer experiences. Here are my three key takeaways from this year’s CBA LIVE conference:
This year, Enterprise Data World (EDW) took their conference to the Omni Hotel in Atlanta, GA. EDW examines the latest trends in the world of data—especially in regards to data governance and data quality. This event focused on leveraging data as an asset and bringing IT and business users together to make better decisions for their enterprises. The keynote speakers focused on the emergence of the Chief Data Officer (CDO) within organizations, the importance of having a foundation of high quality data, data modeling, and much more.
Last week, I had the opportunity to speak with Mike Delgado from Experian for a ‘Data Talk’ interview. We chatted about the 2017 Global Data Management Benchmark Report, and you can see the video of that interview in this post.
Here at Experian Data Quality, we help our clients ensure that their address data quality is up to date and accurate. We also help you provide the best user experience possible for your customers thanks to our recent launch of Global Intuitive real-time address verification. Each year, we process more than 3 billion transactions across every country and territory on Earth. Cool, right? While that may be the case, we’re not stopping there.
We’ve been working hard at combing data from numerous sources and building an address capture engine to create an API we’re really proud of. Today we’re happy to announce our first leap beyond Earth into our solar system with LunarCapture: an intuitive address capture API for the moon!
There are many different variations in the way addresses can be written, depending on which country you're in, which country you're mailing to, where you got the address information (a business card, a postal authority, an email signature, etc.), how recent the addresses are, and whether they have all the required parts of a complete address. All these factors contribute to potential areas of inaccuracies in address data.
Here's what you can do to verify your address data:
NameSearch is Experian Data Quality’s premier matching solution that can accurately and efficiently identify duplicates within your systems. NameSearch uses fuzzy matching to identify records that lead to the same individual, despite the misspellings, nicknames, typos, extra, or missing information across a single or multiple databases. It’s useful for organizations in any vertical that might require a matching solution, and, because of that, it is highly customizable.
The costs of shipping can vary based on the type of address to which you’re sending. We incorporate three datasets into our address verification solutions to help businesses get a better idea of what kind of address they are shipping to (business or residential), and that helps them make more cost effective shipping decisions. To help you decide which dataset is best for you, we’ve outlined the differences between ATI, RDI, and RTI.
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