Delivering on the promise of data science proves hard for many organizations. Many similar obstacles occur in various industries.
Following proven best practices and guidelines can help in attaining concrete business value through data science though. This is illustrated with practical examples taken from data science consulting practice.
Robin is a consultant in data science with a background in industrial engineering and a business oriented and analytical mindset. This foundation of both mathematics/statistics and business problem solving drive his professional interest towards applied machine learning and the operationalization of advanced analytics under real world circumstances.