Download the slides: https://content.dataversity.net/rs/656-WMW-918/images/Melissa_Unison-Webinar-Presentation.pdf
Resolving bad, dirty, or duplicate data is a costly and time-consuming process that only gets more complicated when dealing with millions of records across multiple platforms and databases. This is why it is essential to have the right tools to streamline and simplify the Data Quality approach.
Unison is Melissa’s next-generation customer data platform that empowers users to create and execute collaborative Data Quality jobs in a highly scalable environment available in either a hosted environment or through SaaS.
In this webinar, we will take a look at:
- Creating Data Quality projects in Unison for address, name, phone, and email cleansing/verification
- Matching and deduplication with golden record and survivorship rules
- Job scheduling and automation
- Reports and analytics
Chris Moller
Sales Engineer, Melissa
Chris Moller has been a sales engineer with Melissa for two years. His main focus within the company is leading client demonstrations of Melissa’s web service products, and over his time with the company he has also become the subject matter expert for the enterprise platform solution Unison. Doing demonstrations and webinars is some of the most fun he has, so he looks forward to sharing Unison with everyone!