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Monthly Archives: November 2017

How to take control of your Metro 2® reporting and FCRA compliance

Michael Berard Data quality

The major consumer credit bureaus expect for data furnishers to report on their data in a single, standardized format, known as Metro 2®. While the Metro 2® standards are designed to make it easier to keep credit information up-to-date, many organizations still face many challenges with their Metro 2® reporting. From lack of resources to manual, time-consuming processes, many organizations currently struggling to comply with Metro 2® regulation take a reactionary approach to their reporting. As consumers become more well informed about their credit, through various ease-of-access channels, and as disputes grow exponentially, many data furnishers are looking for ways to ease their Metro 2® reporting. 

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Key takeaways from NASWA 2017

Last week, I had the opportunity of attending the NASWA UI Directors’ Conference and IT/Legal Issues Forum in Orlando, Florida. The conference was a forum to collaborate and discuss innovative ways to improve customer service and business decision making, while fighting fraud within state workforce agencies. At this conference, I had the ability to connect with leadership to discuss the impact that quality data can have on their systems and processes.

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Experian gives back through JA in a day

Yesterday, I, along with twenty-seven employees from Experian, had the opportunity to spread financial literacy to youngsters in the Greater Boston area. We partnered with the Junior Achievement of Northern New England (JA), whose overall mission is to educate and inspire students from kindergarten to eighth grade about financial literacy and entrepreneurship.

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No SQL? No problem

Emily Cleland Data quality

In today’s highly competitive business landscape, the data an organization collects is expected to deliver insight and value back to the business. Therefore, there is an increased focus on the accuracy and reliability of data collected, while there is also the apparent need for business users to have direct access to their data. We are seeing organizations express their commitment to making data-driven decisions, and this is only possible when business users are directly able to understand and leverage data to make these decisions. Despite this growing need, a common problem presents itself when IT is the keeper of an organization’s data, and business users have to wait for insight from the IT that they can understand.

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Why your startup needs data quality

When you build something, the final product is only as strong as the foundation it was built upon. Building a company is no different. It’s not uncommon for startups, in the pursuit of rapid growth and higher valuations, to accidentally allow the basics to become an afterthought.

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