Description
Organisations are currently looking to adopt Big Data technology but are uncertain of the benefits it may bring to the organization and concerned with the implementation costs. To this end, this research proposes a Strategic Framework aimed at helping on the alignment of the Business objectives with Big Data projects. The framework is expected to help on the understanding of the value that a proposed Big Data project may bring to the Organization. This paper focuses on the third phase of the framework: Generation of Strategic Big Data goals. The framework was tested on a broadcasting TV station in Nigeria. The conclusions of this phase are: the identification of strategic goals before implementation which offered a clearer view of the benefits the proposed project bring to the organization and helped to focus the project to deliver the best value. In addition, it helped them to reduced time and implementation costs
Recommended Citation
Lakoju, Mike and Serrano, Alan, "Framework for Aligning Big-Data Strategy with Organizational Goals" (2017). AMCIS 2017 Proceedings. 27.
https://aisel.aisnet.org/amcis2017/DataScience/Presentations/27
Framework for Aligning Big-Data Strategy with Organizational Goals
Organisations are currently looking to adopt Big Data technology but are uncertain of the benefits it may bring to the organization and concerned with the implementation costs. To this end, this research proposes a Strategic Framework aimed at helping on the alignment of the Business objectives with Big Data projects. The framework is expected to help on the understanding of the value that a proposed Big Data project may bring to the Organization. This paper focuses on the third phase of the framework: Generation of Strategic Big Data goals. The framework was tested on a broadcasting TV station in Nigeria. The conclusions of this phase are: the identification of strategic goals before implementation which offered a clearer view of the benefits the proposed project bring to the organization and helped to focus the project to deliver the best value. In addition, it helped them to reduced time and implementation costs