Big data maturity measurement: A DEMATEL-based case analysis

Big data is such a comprehensive business resource therefor it is mostly difficult to predict all aspects of it's impact on the organizations. There are many scenarios regarding how big-data can have a transformative impact on a company or an organization. Big-data is defined for many business roles. It is also more likely to change its nature, While each of the technologies needed to realize the scenarios are available today, it has been thought that it will take few more years for organizations to implement these scenarios. Companies must start their journey by measuring the maturity of big-data in their companies. Within big-data maturity measurement, they may grow their vision around their company's competency in big-data. The main objective of this research is to make a CASE ANALYSIS about big-data maturity for a company of working in different fields (such as: distribution, retail, cargo, media). During the study, 13 contributors has been surveyed by Davenport's big-data maturity model which has been sent via e-mail. In Davenport's survey model, there are 29 questions in total with 6 main subjects. Subjects which are including Data, Institution, Leadership, Goals, Technology, Researchers and Data Scientists. A fuzzy DEMATEL based study has been used In order to evaluate the impact of each mentioned subject. This study has been accomplished with the collaboration of 5 expert participants. During this study you will face with these 4 main sections: As the first section, the purpose and the limitations of the study will be evaluated. In the second section, we will make a brief review of big-data concepts. As of third section, usage areas of big-data will be discussed. And in the last section, the "Davenport Model" will be used to evaluate the importance of leadership big-data.