Cloud computing and big data are two IT initiatives currently concerning worldwide business companies. The first offers the promise of generating rich information sources of competitive advantage, innovations, and raising revenue. Cloud computing, if implemented correctly, can improve process agility and productivity while drastically reducing time and costs. Cloud computing continues to evolve, more and more companies are creating efficient and agile cloud environments, while providers are expanding their service offerings. Emphasizing on Software as a Service (SaaS) as a fundamental cloud prototype, a comprehensive literature review was conducted to procure a theoretical model illustrating impact of the adaptable SaaS-based procedure on operational agility. These procedures comprise of Decision Support Services, Planning Services of Enterprise Resources, and Work Support Services. Theoretical Studies of this research declare that SaaS-based processespositively influence on enterprise operational agility. Therefore, SaaS architecture has become the extensively used framework that encompasses implementation of several services like pricing models, consumption, and delivery. The paradigm of SaaS-based cloud computing has significantly simplified the application development, design, enhancement, management, and assembly, along with notable contributions. This significant research will develop an understanding on whether “cloud computing add business agility to big data analytics.” Consequently, it will benefit market competitors, to refine their business models, policies, marketing, operations, security of data storage through an apprehension of cloud computing, business agility and its correlation with big data analytics. As continuously altering business situations demand companies remain stable, to reconstruct and modify their policies quickly or in other terms to be agile.
Keywords : Cloud Computing, Business Agility, Big Data, IaaS, PaaS, SOA, Business Models