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Data quality

How customizable is NameSearch?

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.

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How can I use address verification to identify business versus residential addresses?

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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Ready or not, the digital economy is coming

The digital economy is coming, says IDC, and traditional organizations will need to adapt in order to stay relevant—and fast! This new economy, which is facilitated by technologies such as the cloud, artificial intelligence, the Internet of Things, and augmented and virtual reality, is rapidly changing the way business is done both here in the U.S. and abroad. According to IDC’s research, 33 percent of the current U.S. economy is digitized, and by 2020 (just three years away) they predict that 50 percent of the global 2,000 will see a majority of their businesses digitized.

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Making abundance from scarcity: Insights from the Gartner Data and Analytics Summit

This week I was able to attend the Gartner Data and Analytics Summit in Dallas. For those of you who weren’t able to join this meeting of data professionals, I thought I would share a few of my key take-aways from the event.

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Shifting gears: A data-driven perspective on bicycle share services

I recently received an email from Hubway, the bike-share program here in Boston. The subject read “Join the 2017 Hubway Data Challenge presented by Microsoft – over $7,500 in prizes.” Now for a little bit of background information, I am a regular user of Hubway. I live next to a docking station, so to get to work every day I take it to the nearest subway stop, which also has a docking station. I do this again on my way back home each night. On the weekends, I sometimes take it to the gym, which conveniently has two docking stations within walking distance. On a few occasions, my wife and I will bike from Fenway Park after a baseball game to the closest Red Line subway station to avoid the foot traffic. Let’s just say I use it a lot.

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The Idaho Transportation Department looks to data quality for the long haul

When it comes to data management practices, government agencies today have their work cut out for them. As the breadth and volume of data entering organizations continue to grow, harnessing this information for strategic initiatives becomes increasingly elusive—even for the most advanced agencies. One such area where data is heavily relied upon is in the transportation sector, which is typically responsible for maintaining roadways and airways in addition to issuing permits for both residents and companies. As you can imagine, transportation departments have a lot of information that requires strong data management practices.

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The importance of data quality tools within omni-channel solutions

In my role, I frequently talk to retailers and I find that many are facing challenges with disparate, sometimes outdated systems. Oftentimes they are using multiple vendors for their necessary technology solutions. This can create a headache when retailers have data initiatives that span these multiple platforms. 

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The value of trustworthy data and how to get it

Do you consider yourself data driven? Do you use the data you have to make informed, strategic decisions? If so, you’re in good company. In fact, more than 80 percent of organizations believe that data is an integral part of forming their business strategy. With such an emphasis on making informed decisions, it’s really important to trust the data you’re working with. Right?

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Experian Data Quality helps the Mean Green save some green and improve student communications

Effective communication with prospective, current, and former students is a top priority for universities. Communicating with potential students is particularly important given how many other colleges and universities are competing for their attention. Colleges want to provide current students with timely communication on classes, tuition payments, grades, sporting events, performances and more, and keep alumni up to date with university happenings, networking events, and fundraising campaigns. The University of North Texas (UNT) at Denton, known as the “Mean Green” in sports, realized that issues with the addresses in their database and duplicate records were potentially jeopardizing communications with students. 

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Inside the circle of trust: Data management for modern enterprises

There’s a lot on the line when it comes to your data quality. From regulation to revenue, it can make or break your company. While organizations today talk a lot about making data-driven decisions, we find that many of them lack the confidence in the quality of their data necessary to drive new initiatives. Given that C-level executives believe that 33 percent of their organizations’ data is inaccurate, it’s easy to understand why. Do you fully trust your data to make important decisions?

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