Framework of Data Analytics and Integrating Knowledge Management

Big data is significantly dependent on technologies such as cloud computing, machine learning and statistical models. However, its significance is becoming more dependent on human qualities e.g. judgment, value, intuition and experience. Therefore, the human knowledge presents a basis for knowledge management and big data, which are a major element of data analytics. This research contribution applies the process of Data, Information, Knowledge and Perception hierarchy as a structure to evaluate the end-users’ process. The framework in incorporating data analytics and display a conceptual data analytics process (with three phases) evaluated as knowledge management, including the creation, discovery and application of knowledge. Knowledge conversion theories are applicable in data analytics to emphasize on the typically overlooked organizational and human aspects, which are critical to the efficiency of data analytics. The synergy and alignment between knowledge management and data analytics is fundamental in fostering innovations and collaboration.