The report highlights the importance of data science in extracting insights from digitized information. To achieve this, it is necessary to fulfill three requirements: complex machine learning algorithms, access to large volumes of data, and computing power to run algorithms in real-time. Analytical capabilities determine how questions are asked of data and how answers are presented. The report emphasizes the importance of aligning all elements with an overarching business vision to enable the transition from data to meaning. Advances in data science provide additional means for "fishing" data lakes for meaning, including the use of machine learning and deep learning techniques.
