Key takeaways
1. Contextualize your data before it s too late!
Ensure that data contextualization is included in your digital transformation roadmap from the start or you will face great inefficiencies in the future.
2. Align your data models and avoid the data swamp!
Consistent data modelling strategies are the most efficient way to enable your organization to exploit complex data analytics applications which will require data from many sources.
3. The value lies with the user, not the structure
Contextualizing data serves the sole purpose of easing the work of the end user, would he be an operator, an engineer or a manager. Understand your audience, the engineering processes, the goals and the current practices to design a meaningful data model.
Speaker
Denis Gauder
Denis Gauder, graduated with a MSc. in chemical engineering, has worked for over 10 years in the area of Industrial Digitalization. His experience covers production systems modelling, data analytics, data integration technologies and engineering workflows design. Over his career, he has had numerous roles working for companies such as Total, Solvay, Yara, BP, ExxonMobil, Arkema and others. Denis is currently leading the Digital Assets team of IPCOS where he is responsible for solution design, implementation strategy and project delivery.