Novicell webinar Oct 2021

Webinar: Data Doesn’t Equal Success​

Data Doesn't Equal Success​

When it comes to data, value is created on a marketing level when you have the guts to set your data free.

Quality data is key to successful communications – but if your marketers hands are tied sorting through it for months, they can’t execute on those communications. At the end of the day, your performance relies on your marketing team having free hands to transform their ideas into impactful marketing activities. In this webinar, you’ll learn what free hands means for your team in relation to your marketing data from implementation to execution, and the common pitfalls to avoid. Learn how to take your marketing strategy beyond the expected, driven by data.

Topics we will be covering:​

Case Story: Vibholm Gold & Silver​

Using jewelry retailer Vibholm Gold & Silver as an example, Novicell’s Jens Grønkjaer and Agillic’s Rasmus Houlind will demonstrate how to design a data model that fits your business the best to execute marketing.

Date: 26 October 2021

Time: 11am CET

Location: Online

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.

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