How to measure cloud computing options and benefits to impact business intelligence infrastructure This book is a guide for managers and others involved in using cloud computing to create business value. It starts with a discussion of the media hype around cloud computing and attempt to pull together what industry experts are saying in order to create a unified definition. Once this foundation is created--assisting the reader's understanding of what cloud computing is--the discussion moves to getting business benefits from cloud computing. Lastly, the discussion focuses on examples of cloud computing, public clouds, private clouds, and virtualization. The book emphasizes how these technologies can be used to create business value and how they can be integrated into an organizations business intelligence system. It helps the user make a business case for cloud computing applications--applications that are used to gather/create data, which in turn are used to generate business intelligence. Praise for Business Intelligence and the Cloud STRATEGIC IMPLEMENTATION GUIDE Cloud computing is widely discussed--and hyped--by vendors, the media, and many technology enthusiasts. Eschewing the hype to arrive at a concise accounting of the core capabilities of cloud deployment models, Business Intelligence and the Cloud delves into the convergence of the most important trends in technology. Consultants, managers, and C-suite members wishing to gain a more thorough understanding of cloud capabilities as they relate to BI should use the book as a guide to thinking about BI and the cloud in the proper context-- the IT value proposition. Divided into three sections, the book begins with an overview of cloud computing and how this new method for providing IT services is transforming the enterprise technology landscape. The book then addresses key elements related to cloud adoption and cloud economics and wraps up with an in-depth look at conducting business intelligence in the cloud. Topics are explored in such a way that practitioners can develop strategies to deal with the effects of cloud-based solutions on their organization's BI infrastructure, all while focusing on the value that such solutions can bring to the organization. Specifics discussed in the book include: The history and rise of cloud computing, touching on topics such as networking, bandwidth, service-oriented architecture, and virtualization Cloud characteristics and service models, including a concise, updated definition of this ubiquitous but poorly understood term Cloud deployment models and examples of public, private, hybrid, and community clouds Total cost of ownership and determination of operating expenses versus capital expenses The regulatory impact of cloud computing and determining organizational readiness for cloud adoption Service level agreements as they pertain to cloud computing The interaction between business intelligence and cloud computing The effects of Big Data on business intelligence in the cloud A discussion of mobile computing and how it intersects with cloud computing, Big Data, and BI Business Intelligence and the Cloud STRATEGIC IMPLEMENTATION GUIDE For a CIO, or anyone responsible for deploying technology in today's organization, the Cloud, Mobility, and BI are moving at lightspeed. The foundations among these parts are incredibly important -- as important as the intersections themselves. This ever-confusing Venn diagram of technology is providing real value for today's corporation. Seeing how these pieces fit together is critical for the success of any organization, and a must read for anyone responsible for seeing this puzzle come together. Michael Gendron does an outstanding job explaining these parts, their value, and real-world examples of value in action. -- Christopher Luise, Executive Vice President, ADNET Technologies Creating value through business intelligence is essential for managers charged with achieving ever-greater efficiencies with ever-dwindling budgets. Enter cloud computing and BI. Once hyped beyond belief, cloud computing has entered a stage of greater maturity and is well-suited to BI applications, especially where Big Data is involved. Author and business intelligence leader Michael Gendron expertly presents theories and their real-world application to bring together the most talked-about technologies in a meaningful guide. Written for business intelligence staff, cloud computing professionals, CIOs, CTOs, and other managers, Business Intelligence and the Cloud shows you how to take your organization's use of cloud computing beyond mere hype to produce real-world value. Tackling these cutting-edge topics from every angle, Gendron presents the many considerations for moving BI processes to the cloud, including an in-depth treatment of cloud service and deployment models, total cost of ownership metrics, OPEX vs. CAPEX, the realities of adopting cloud computing in your organization, details on SLAs, and the intersection of Big Data with cloud and mobile computing so your organization can find the BI Sweet Spot. Read Business Intelligence and the Cloud to get your organization on the fast track to value creation.