Edward Waltz received his B.S. in electrical engineering from the Case Institute of Technology and M.S. in computer information and control engineering from the University of Michigan. Waltz is technical director of intelligence systems at Veridian, Ann Arbor, Michigan. He is also the author of Information Warfare: Principles and Operations and co-author of Multisensor Data Fusion (Artech House, 1998, 1990).
After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget – turning the deluge of data into actionable information that fuels business knowledge. Finally, you’ll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success.Provides practical guidelines for building successful BI, DW and data integration solutions. Explains underlying BI, DW and data integration design, architecture and processes in clear, accessible language.Includes the complete project development lifecycle that can be applied at large enterprises as well as at small to medium-sized businesses Describes best practices and pragmatic approaches so readers can put them into action. Companion website includes templates and examples, further discussion of key topics, instructor materials, and references to trusted industry sources.
This landmark work, the first to introduce business leaders to analytics, reveals how analytics are rewriting the rules of competition.
Updated with fresh content, Competing on Analytics provides the road map for becoming an analytical competitor, showing readers how to create new strategies for their organizations based on sophisticated analytics. Introducing a five-stage model of analytical competition, Davenport and Harris describe the typical behaviors, capabilities, and challenges of each stage. They explain how to assess your company’s capabilities and guide it toward the highest level of competition. With equal emphasis on two key resources, human and technological, this book reveals how even the most highly analytical companies can up their game.
With an emphasis on predictive, prescriptive, and autonomous analytics for marketing, supply chain, finance, M&A, operations, R&D, and HR, the book contains numerous new examples from different industries and business functions, such as Disney’s vacation experience, Google’s HR, UPS’s logistics, the Chicago Cubs’ training methods, and Firewire Surfboards’ customization. Additional new topics and research include:Data scientists and what they doBig data and the changes it has wroughtHadoop and other open-source software for managing and analyzing dataData products—new products and services based on data and analyticsMachine learning and other AI technologiesThe Internet of Things and its implicationsNew computing architectures, including cloud computingEmbedding analytics within operational systemsVisual analytics
The business classic that turned a generation of leaders into analytical competitors, Competing on Analytics is the definitive guide for transforming your company’s fortunes in the age of analytics and big data.