Predictive modeling and analytic initiatives have become pervasive across a wide variety of industries. As analytics move out of the basement and into the boardroom, there is a broader recognition of the need to integrate analytics within operational business and technology frameworks. Yet there is often a poor understanding what analytics mean within the organization, and how (and even if) analytic projects should be managed and integrated into a development lifecycle.
This book will provide both project managers and analytic practitioners with a comprehensive overview of the principles, processes, and practices behind analytic lifecycle management. Readers will learn techniques for initiating, planning and executing on analytic development projects with a focus on agile methodologies, and gain an understanding of how agile methods fit into traditional project delivery methodologies. Readers will obtain practical knowledge of agile development frameworks and be able to determine which methodologies are best suited for their needs along with the change management techniques needed within the organizations to be successful.
Readers will learn how to apply agile tools and techniques in the analytic development lifecycle from project ideation to deployment to lifecycle management, including establishing the right team environment, process management, defining roles and responsibilities, communication and reporting methods, and embracing change.
Keywords: Business Technology