Creating Values for Big Data Analytics through Business and Technology Alignment

Meaningful insights are the most important outcome of a big data analytics project (BDA). As the BDA project has been widely used to facilitate business decisions, many organizations focus on gaining valuable insights into their business performance, especially as one of the determining factors for organizations to outrun their competitors in the industry. The research from the current literature found that there needs to be more technical consideration for the valuable measure of business performance based only on the business perspective rather than considering the advanced technological perspective: big data analytics. On the other hand, the technical point of view is focused more on data than realizing real business needs. Hence, this research aims to introduce, identify, or develop know-how mapping between business and technical points of view for valuable insights. So then, the BDA can work on understanding what the business would want and aligning it with what the data could provide. With that, the first step is to identify elements and define the definitions of the valuable insights. Second, this research will serve as a how-knowledge guideline for business analytics in achieving valuable insights. This research is intended to shed light and clarify valuable insights from business and technical points of view while developing any BDA project in the business organization.