Analysis of requirements for Big Data Adoption to maximize IT Business Value

Abstract

The measurement of Information Technology success is critical for any organization. Understanding value of the Information Technology solutions is the need of every management, researchers and practitioners for taking the efficient decisions. Resource based view and contingency theory have been used by the researchers to measure IT Business Value (ITBV). Various studies have examined the relationship between the Information technology and organizational performance. Understanding and measuring ITBV is ongoing research area. Business Analytics is the area of deriving the knowledge from raw data using statistical and quantitative techniques, predictive models to make efficient and evidence based business decisions. Business Analytical Systems have provided positive impact on the decision making process of the organization. Researchers have used process and variance models to explain how organizations use business analytics to create business value. Understanding the business value becomes more challenging in the context of the Big Data. The business value depends on the relationship between business and IT objects. Big Data make this relationship more complex and hence possess challenges for knowing the business value. The objective of this paper is to define the requirements for Big Data Adoption so that organizations can maximize their IT Business Value.