Description
In the absence of established practices, routines and processes, organizations are challenged how to implement and harvest from big data initiatives. Often, they overplay the impact of data analytics tools while ignoring organizational competencies necessary to marry big data ‘evidence’ with organizational sense-making and decision-making to generate impactful managerial action. Using the dynamic capability lens, this study examines how organizations can address this challenge and transform their organizations by building competencies which enable success with big data. We use interview data from 28 big data professionals from technology and management in 12 organizations and use grounded theory techniques to identify competencies that promote successful organizational transformation with big data. We observe that organizations need to build competencies to mobilize their big data technologies through new skills and constant technology acquisition, orient resources towards collaboration and continuous improvement, explore data through perpetual experimentation, and exploit related discoveries with intense market orientation.
Recommended Citation
Alexander, Dijo Tito and Lyytinen, Kalle, "Organizing Successfully for Big Data to Transform Organizations" (2017). AMCIS 2017 Proceedings. 30.
https://aisel.aisnet.org/amcis2017/DataScience/Presentations/30
Organizing Successfully for Big Data to Transform Organizations
In the absence of established practices, routines and processes, organizations are challenged how to implement and harvest from big data initiatives. Often, they overplay the impact of data analytics tools while ignoring organizational competencies necessary to marry big data ‘evidence’ with organizational sense-making and decision-making to generate impactful managerial action. Using the dynamic capability lens, this study examines how organizations can address this challenge and transform their organizations by building competencies which enable success with big data. We use interview data from 28 big data professionals from technology and management in 12 organizations and use grounded theory techniques to identify competencies that promote successful organizational transformation with big data. We observe that organizations need to build competencies to mobilize their big data technologies through new skills and constant technology acquisition, orient resources towards collaboration and continuous improvement, explore data through perpetual experimentation, and exploit related discoveries with intense market orientation.