Smart data – better than big?

Getting the real value from your big data with multivariate analysis
 
October 17th, 2017, Oslo Science Park

The world is full of data and the unstructured data is often called ‘big data’. The real potential lies within how you structure your data and 'strip' it down to the essentials. That is where the true value resides. We would like to call it smart data. 

We have the pleasure to invite you to a seminar where we will give you a view of the world of data analysis and how you can use it in the most effective way. We will share insights on the latest developments in technology and methods that can be critical to enhance your business and provide you with new ideas on how to use the vast amounts of data. The important distinctions between significance and relevance as well as predictions at the group level vs. individual level will be exemplified.  We will also demonstrate some of the tools that make analytics possible beyond scientists and data analysts.

Join our seminar to learn more about how to apply data analysis to create value in your projects and business.

  

Guest speaker: Professor Dr. Harald Martens, Norwegian University of Science and Technology (NTNU)

Harald Martens is Adjunct Professor at the Department of Engineering Cybernetics. He is a member of the research group for Cybernetics in Biomedicine. Martens holds a Master of Science in industrial biochemistry and a Ph.D. in chemometrics and multivariate calibration from NTNU. He has written over two hundred research papers and several books on multivariate data modeling.

Dr. Frank Westad, Chief Scientific Officer, CAMO Software & Professor, Norwegian University of Science and Technology (NTNU)

Frank has served as a Research Scientist at SINTEF, Consultant with IDT GmbH (Germany), Application Specialist with CAMO and Senior Research Scientist at the Norwegian Food Research Institute (MATFORSK) and GE Healthcare. His experience includes numerous scientific papers, presentations at international conferences and teaching statistics, chemometrics and multivariate methods for the industry. He is also an adjunct professor at NTNU, Department of Engineering Cybernetics.

Questions

For questions regarding registrations etc. please contact:
Jens Oestreich, Country Manager, CAMO Software, jo@camo.com

Agenda overview

Date & Time

Tuesday, October 17th, 9:00 - 13:00

After the end of the seminar at 12:30, we invite you to stay for a complimentary lunch and more discussions.

 Location

Oslo Science Park
Gaustadalléen 21
0349 Oslo

Directions:

http://www.oslotech.no/forskningsparken/how-to-find-us/

 

Multivariate Data Analysis refers to any statistical technique used to analyze data that arises from more than one variable. This essentially models reality where each situation, product, or decision involves more than a single variable. The information age has resulted in masses of data in every field. Despite the quantum of data available, the ability to obtain a clear picture of what is going on and make intelligent decisions is a challenge. When available information is stored in database tables containing rows and columns, Multivariate Analysis can be used to process the information in a meaningful fashion.”
 
 
 

 

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