Per Myrseth, Head of Section Data Management Competence Centre @ DNV GL Digital Accelerator TO OBDD 2017

KEYNOTE: "Data analytic experiences and data quality risks"

The presentation will cover experience from industrial data analytics, methods and best practice on data quality.  Does Big Data and data analytics need to be supplemented by Data Quality Assessment methodology and tools? Data users or applications knowing the data quality level are empowered to understand how algorithms, automation and users may behave and whether analytics gives trustworthy results.

So far the methods and tools has been tested out in the industrial IoT space on data from Maritime, Oil & Gas, Energy and Aquaculture sector. Several customers have got some eye openers on the importance of focusing on data quality in the Big Data and analytics space.

Per will be found at T2 Datascience/Machineleaning Track at OBDD 2017