An Empirical Study To Explore The Measurement And Influential Factors Of Individual Level Dataanalysis Ability

In the environment of big data, organizations have recognized the significant value of big data and introduced technology and talents to establish data analysis ability. Since organization level data analysis ability depends on individuals’ ability,big data talents have become an important competitive resource for organizations.Based on the related theory of data analysis ability, this study explores five dimensions of individual level data analysis ability and design the corresponding measurement through case study and empirical survey. On the basis of the measurement design, this study examines the critical influencing factors of individual level data analysis ability from organization and individual aspects.Drawing upon theoretical literatures and case interviews, this study first defines individual level data analysis ability and divides it into five dimensions:technical knowledge, business knowledge, communication and coordination ability,innovativeness and absorptive capacity; then design the measurement metrics of the five dimensions of individuals’ data analysis ability and examines its validity and reliability through confirmatory factor analysis. Based on organizational culture,knowledge sharing and psychological motivation theory, this study further establishes a structural equation model to examine the influencing factors of individuals’ data analysis capability. 152 questionnaires are collected through an investigation of enterprise data analysts, Smart PLS is used to analyze the structural equation model. Research results show that organizational level factors such as innovation and development culture, cooperation and communication culture, goal oriented culture, organizational training and IT support have significant positive impact on individuals’ data analysis ability; while individual psychological motivational factors such as personal interest and self-efficacy also have significant positive impact on individuals’ data analysis ability. The empirical results also show that knowledge sharing partially mediates the relationship between organizational culture, organization training, IT support and individuals’ data analysis ability. The study can contributes to the extant literatures in data analysis ability and provides a theoretical reference for the enterprises to select and train data analysis talents.