We’ve all heard the saying “you are what you eat” in reference to our morning donut and coffee. But did you ever consider that the same principle applies to your organization’s data collection processes? Much like the saturated fats from bad-for-you food that clog up your arteries, unchecked bad data can enter your database and compromise your ability to draw on that information in the future. That’s why it’s important to put measures in place to validate and correct bad data at every point of entry. Before your database has a cardiac event (and increases your stress levels), let’s talk about your data’s diet.
The Data Governance and Information Quality (DGIQ) Conference and Dataversity took their talents to sunny San Diego this week. DGIQ looks at the latest trends and practices used by the leaders in the data space and how they apply strategies around data governance and data quality. This event had a heavy focus on the emergence of data governance and regulatory issues companies are facing in regards to their own data as well as the importance of understanding the integrity and quality of their data moving forward to help drive the bottom line.
Do you ever wonder how, no matter what you do, your competition consistently gets ahead of you? Well, you’re not alone! Unfortunately, this is a common frustration for a lot of marketers. We all know how invaluable gaining a competitive advantage is; the challenge is figuring out the how, the what, and the when. While there may not be one simple solution, lead nurturing is one of the best ways to beat out your competition.
This morning, the Pan-Mass Challenge (PMC) announced that Experian is officially sponsoring the 2017 race. We are excited to share this news and to put our support behind an organization that many of our own employees have been passionate about for years.
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.
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