The quality of your cost estimates depends heavily on your cost data. Having a complete and well-structured dataset makes your life as a cost estimator much easier. CESK data offers you a vast array of information, used by companies worldwide. This year’s CESK release came with numerous updates and additions.
Ever wondered how YouTube or Netflix manages to suggest videos and movies of your preferred style? Using big data! Big data analysis is considered the next big thing if it isn’t a big thing already. A great number of companies are already using it. So, the question is: Can you use big data to improve your project performance? Yes, you can!
Working as a project controller, you will very likely encounter long lists of commitments, actuals, and other cost data that need to be reported on a frequent basis. To ease the job of structuring the project data, breakdown structures prove to be the answer. They allow otherwise flat data to be viewed from many angles, serving the needs of the various stakeholders in the project, e.g. management, clients, and engineers.
Is the labour rate of a welder the same in Sweden as it is in Brazil? Probably not, you would say. But how much does it differ? And what does that difference depend on? Is the labour rate the only thing you should take into account when choosing the right cost data or are there more factors to take into account? You would like to know what drives the differences in cost data when you’re working on a project estimation in a different region. Find out by reading this blog.
Engineering is paramount during all phases of the project life cycle: initiation, planning and design, implementation and closure. In this article, we have a closer look at the design phase and explore how data can help you improve the efficiency of engineering during the design phase.