MasterVision offers a wide range of powerful features to provide publishers with complete insight into their customers, and we have a strong core of data analysts and ‘power users’ who make regular use of its […]
When embarking on any software project, from the development of a new system down to a small change to an existing system, it’s important to have a clear statement of what that project should achieve. […]
If you aren’t already aware of OrgRef, it’s an open dataset providing structured information about academic and research organizations worldwide. The team here at DataSalon built and launched it back in September 2014 as a […]
With the launch date for the GDPR looming ever closer (25 May), many publishers will no doubt be busy checking they have appropriate marketing consent from their customers and other contacts. That might also involve […]
At the start of the New Year it’s always good to reflect on some of the successes, changes and developments of the previous year. At DataSalon, 2017 was a ‘busy one’ and we were pleased […]
Welcome to our last post of 2017. We all wish you a very happy holiday season and all the best for 2018! Once again, we will not be sending cards to mark the festive season. […]
With exactly six months to go until the new EU General Data Protection Regulation (GDPR) comes into force, it’s a good time to review where you are in the process of preparing to meet your […]
Over the last 10 years, we’ve been working with scholarly publishers to help them clean, link and de-dupe their institutional customers to create unique records from the many different ways customers are recorded in their […]
Our customer insight solution MasterVision is used by many of the world’s biggest scholarly publishers, and has been in active development for over 10 years now. As we’ve added so many great features during that […]
When you hear the phrase ‘data quality’, you may immediately think of fixing errors, and obviously that’s a fundamental part of improving the quality of your data. But there’s much more to a comprehensive data […]
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