CADENT · Competitive Advantage for the Data-driven ENTerprise
Horizon 2020 — Marie Skłodowska-Curie Actions
- Duration
- 2016-07-01 → 2018-06-30
- EU contribution
- €196,400
- Participants
- 1
- Scheme
- MSCA-IF-EF-ST
Lines connect the coordinator with its partners.
Results in brief
Competitive Advantage for the Data-driven ENTerprise
The purpose of the Competitive Advantage for the Data-driven ENTerprise (CADENT) project is to address the issue of how companies should optimally deploy and exploit big data as part of their competitive strategies. Following an interdisciplinary approach which bridges the domains of organizational science, strategic management, information science, marketing, and computer science, CADENT will explore the means by which big data are effectively leveraged in a range of contexts and industries (e.g. technology, retail, oil and gas, healthcare, telecommunications), and attempt to isolate key success factors. Therefore, the main focus of the project will be to (a) identify big data intelligence and analytics needs of companies (e.g. insight generation, opportunity/threat detection, market analysis and customer profiling, and real-time forecasting or else now-casting ), (b) understand how information sources, technological infrastructure, human skills and knowledge, organizational/team structures, and management practices coalesce to achieve desired ends, and (c) develop a set of clearly defined metrics to evaluate the business impact of big data initiatives. By empirically investigating these issues and developing a framework of best practices, the ultimate goal is to guide executives in their transition to the big-data era, and enable them to strengthen their companies’ competitive position through focused deployments.
Data: CORDIS, © European Union
Project objective
The notion of big data and its application in driving organizational decision making has attracted enormous attention over the past couple of years. Prominent examples of companies engaging in the big data paradigm have illustrated the potential in generating substantial business impacts and fundamentally changing the way organizational-level decisions are made. The need to harness the potential of rapidly expanding data volume, velocity, and variety, has seen a significant evolution of techniques and technologies for data storage, management, analysis, and visualization. Yet, there is limited understanding of how organizations need to change to embrace these technological innovations and the business shifts they entail. The purpose of CADENT is to examine how big data is successfully exploited and by which means it improves competitive performance. The aim is to identify the critical success factors in a range of contexts, and use these findings to promote research and practice. More specifically, the proposed research project is targeted in identifying and categorizing the primary decisions needs from big data intelligence and analytics in varying industries and for different strategic orientations. The goal is to develop a clear understanding of how strategy and context shape data-driven information requirements, and explore through a holistic approach the human, technological, managerial, and relational aspects that contribute to successful data-driven decisions. In effect, the CADENT project seeks to explore through case studies, action research, as well as qualitative and quantitative methods how big data is optimally exploited and the organizational changes it creates. Implications stemming from the CADENT project will serve industry by providing a set of guidelines for companies adopting big data strategies to optimally exploit their investments and gain a competitive edge.
Original text from CORDIS.
Participants
- NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU · TrondheimCoordinatorNorway
Links
Data: CORDIS, © European Union