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Monthly Archives: March 2015

Avoid data monsters: 3 ways to prevent CRM problems

Customer Relationship Management (CRM) systems allow you to store all your customer and prospect data—think along the lines of contact data, account information and leads—in one location. That kind of localized, accessible data storage platform enables organizations to gain a simplified view of their customers, and if they use it to its fullest potential, also facilitates internal data organization processes, better customer service and a more personalized experience for your consumers.

But what happens when:

  • Your current data quality strategy doesn’t use data to its fullest potential?
  • The data you store in your CRM is compromised, either by human error or technical limitations?
  • You’re letting the data in your CRM just sit there?

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Don’t let data become your Achilles heel

You have two hours to complete your midterm. You may use your notes and handouts you have prepared, but no textbooks. Begin.

Piece of cake, I think to myself with my notebooks and photocopies spread out across a tiny desktop. I have done my due diligence in anticipation for this exam. I love when teachers allow the use of notes. How can I possibly get lower than an A? I have my notes, my friends’ notes that I have photocopied and all the handouts. Across my desk sits a sea of black ink bathed in yellow highlighter.

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Decluttering your data using feng shui

Sam Weiner Data quality

Commonly known as an ancient Chinese philosophical method of organization, feng shui is more factually known as the harmonization and orientation of one’s surroundings in an auspicious manner. While feng shui is mostly practiced as a way of strategic organization, let’s take a minute to relate this ancient concept to something a little more abstract: data quality.

We can apply feng shui concepts to data quality in one very simple way—clutter removal. In an optimal clutter-free world, every second we spend on a task would be optimized. Imagine finding what you need when you need it! You could maximize productivity and channel positive energy into endless accomplishment. In a recent study conducted by the Ponemon Institute, Corporate Data: A Protected Asset or a Ticking Time Bomb, 73 percent of end users stated that the growth of numerous types of company data have significantly affected their ability to find and access that data. While it is important to clean, standardize and de-clutter existing dirty data, insuring new data is clean at point-of-capture is truly the key to improving the overall health of data within your organization.

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We’re moving: Introducing

We’re very excited to announce several major changes to Experian Data Quality’s website. You’ll see these changes will take effect in the coming weeks.

First, we are moving our website to (currently in beta mode). The decision to migrate, our website for the past two decades, is part of our rebranding efforts.

We first announced in October 2013 that we were rebranding from Experian QAS to Experian Data Quality. The name change signifies our continually expanding portfolio of data quality software and services. Moving our website represents the last and final part of this rebranding initiative.

Beyond migrating to a brand new domain, we are also launching a newly designed web experience. We’ve redesigned our site with you in mind! We revised the site from the ground up with a simple and modern design.

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Lead generators are always hungry!

Last week, Experian Data Quality attended LeadsCon West in Las Vegas, marking our second booth appearance at the show. Things are really heating up in the lead generation space; it seems that lead generators have an endless craving to discover new ways to further their business and find the next best thing in data technology. And why wouldn’t they? After all, more, better leads can mean more customers and more opportunities.

While there are a number of more and different leads can be found, making the most of data is a void lead generators are hungry to fill. Here are just a few examples of areas where data can be used to benefit lead generators.

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