Beyond the concepts of data quality and data governance, organizations must wonder why investing resources in managing and governing their data is profitable. Typically, big migration projects or development of many ETL (or ELT) processes do not return anything by themselves but they are absolutely necessary to organize the generated data and they will accelerate the data analytics projects that will be built on top of our data infrastructure. It is what we call hidden profits, completely opposite to the so-called hidden costs. In this talk, we will show how to design your data governance and quality proejcts to be aligned with business, the most important decisions every organization must make and how to reduce risks during this important phase in the data-driven companies’ life.
IE BUSINESS SCHOOL
Big Data and Machine Learning professor