Top challenges when creating a Single Customer View

The golden record is the holy grail of customer data. Having a single view of all your customers’ contact, behavioral and transactional information is invaluable to any business – but it’s not easy to obtain.

While there are many solutions claiming to deliver this holy grail, in reality they often fall short on their promises. This leaves marketers with an incomplete and inaccurate view of their customers. 

On 17 June, Agillic’s CXO Rasmus Houlind and Novicell’s Data Value Manager Jens Grønkjær will host a webinar to discuss the challenges and best practices of utilizing your customer data to personalize communication.

Find out how Molslinjen, one of the world’s largest ferry companies, managed to increase lifetime value per customer by using behavioral and emotional customer data, such as net promoter score, tickets purchased, purpose of trip, online behavior and much more.

You will also learn:

• How to use minimal data to build a single customer view 
• How to tap into the internet of things when it comes to customer behavior
• How to leverage third party data
• …and much more

About Rasmus Houlind

Rasmus joined Agillic as Chief Commercial Officer in September 2015. Holding Management positions in international agencies, Rasmus has worked with international clients and the development of loyalty programs. He is the author of a book on Omnichannel Marketing and Customer experience, a sought-after keynote speaker, and industry expert. Rasmus holds an M.A. in Information Studies from Aarhus University.

About Jens Grønkjær

Jens holds a Cand.oecon. and since 2000 he worked as an analyst and head of analysis in a number of large Danish companies, including TDC, Danske Bank and De Gule Sider. For the past 5 years, he has been head of department at Innofactor with a special focus on Business Intelligence, and it is by virtue of his extensive experience that Jens now fills the position as Business Intelligence Director at Novicell. Jens shapes this new position in the areas of Advanced Analytics, Machine Learning, Power BI, Big Data, Data Insight, Datawarehouse and analysis.