BUS 200: Big Data

In the world we live in today, more data is being generated than at any other period in human history. However, this wealth of information is causing a data dilemma for small to medium sized enterprises (SMEs), entrepreneurs, and practitioners. With marketing companies and experts struggling to produce business content that delivers strong marketing results and SME's being overshadowed by data-aware super-brands that are already heavily investing in data-driven content, Lee Wilson offers a solution that can rectify the performance divide. Data-Driven Marketing Content: A Practical Guide empowers businesses, regardless of industry, size, or competition level, to understand, identify and act on big-data opportunities. The guide shares unique processes, approaches, and frameworks which can be applied to every company need, leading you towards efficient and effective content creation that repeatedly returns on investment. Through a combination of practical expertise and personal insights, this book instructs and enables practitioners and entrepreneurs to overcome everyday business content barriers and yield increased results from every piece of content created.

The importance of demonstrating the value achieved from IT investments is long established in the Computer Science (CS) and Information Systems (IS) literature. However, emerging technologies such as the ever-changing complex area of cloud computing present new challenges and opportunities for demonstrating how IT investments lead to business value. Recent reviews of extant literature highlights the need for multi-disciplinary research. This research should explore and further develops the conceptualization of value in cloud computing research. In addition, there is a need for research which investigates how IT value manifests itself across the chain of service provision and in inter-organizational scenarios. This open access book will review the state of the art from an IS, Computer Science and Accounting perspective, will introduce and discuss the main techniques for measuring business value for cloud computing in a variety of scenarios, and illustrate these with mini-case studies.