Jasmine Cosgrove is a partner manager focused on Experian Pandora at Experian Data Quality. Jasmine works with partners that are focused on data quality, data migrations, and data management. When she’s not building partnerships for Experian, she spends time with her family and is an avid reader (preferably on a beach).
This week, I attended the 2018 Tessitura Learning and Community Conference (TLCC) in Orlando, FL. For the first time, a Disney property was selected for this conference and at first, I was surprised by the size of this location. However, once I arrived I realized that while the venue seemed larger than ever before, the 1900 attendees filled it up quite well. So when the conference shared that this was the largest attendance of any previous Tessitura conference, it wasn’t hard to believe. This community is growing and is strong, and throughout the conference, I saw many positive trends.
New Orleans was the site of this year’s Oracle Utilities Customer Care and Billing Users Group (OUUG) Conference. The shift from Scottsdale, Arizona and the interest around the selected topics generated the largest attendance in the conference’s history! The tracks for focus were around Customer Billing, Meter Data Management, and Workforce Asset Management. This was our first year sponsoring the event, and we were pleased to be met with genuine interest, as well as a strong following for Experian swag!
Experian Data Quality is excited to announce a partnership with the email delivery service: SparkPost. SparkPost sends over 3 trillion messages annually, which constitutes over 25% of the world’s non-spam email messages. The SparkPost email API provides industry-leading performance, deliverability, flexibility, and analytics that are needed to drive customer engagement for their organization. The business-critical need for data quality, specifically email verification, is evident to SparkPost and after careful review, they have made the commitment to partner with Experian Data Quality.
This year’s Experian Marketing Suite (EMS) Client Summit was one of many celebrations. This marked the tenth anniversary of Client Summit. There were many exciting announcements at the event including the news surrounding the finalization of the divestiture from Experian announced in November. There was also a bit of anticipation of what the new company and EMS experience would look like.
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.
In the past few months, we have had the wonderful opportunity to work with Data3Sixty, a technology company that focuses on active data governance. As we have been making the rounds at similar conferences, groups, and other events in the beautiful Boston area, it seemed obvious to continue the conversation and really understand how we can work together. We identified the opportunity to collaborate from a technology perspective and to capitalize on the mutual momentum in the marketplace around data quality and data governance.
I recently had the pleasure of attending the Master Data Management (MDM) & Data Governance Summit in New York City. The Summit was located in the same hotel as one of the presidential candidate’s election night parties, which provided plenty of excitement. Excitement aside, there was a lot to learn: gauging the pulse of the institute, getting to know the attendees, and understanding their corporate concerns.
It was a beautiful, sunny day in Philadelphia. I was fortunate enough to attend the DAMA Philadelphia inaugural event of 2016. The chapter meeting was focused on data governance and brought together leading vendors, service providers, and customers that are defining how data governance is being executed today.
Recently, we discussed the dilemma of building a data management program and compared the process to building a house. This proved very insightful, as it laid the foundation for a complex and sometimes overwhelming topic: developing a data management methodology.