Tom Davenport's latest book on winning with analytics says CIOs will lead the charge. Competing on Analytics By Thomas Davenport & Jeanne Harris Harvard Business School Press, 2007, $29.95 Tom Davenport may be a business strategy guru, but he’s also a fierce Boston Red Sox fan. In his new book, Competing on Analytics: The New Science of Winning, written with Jeanne Harris, he notes that the numbers prove pitcher Pedro Martinez should have been pulled earlier from the ill-fated game 7 of the 2003 American League Championship Series. The current Red Sox organization’s ability to crunch numbers—and create new recruiting metrics—fueled its 2004 World Series victory, he says. Could your business do the same—use analytics to outsmart competitors, strengthen staff and optimize key business processes? You not only can, but you must, Davenport argues. SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe Better business processes are one of the last ways to differentiate yourself from close competitors in today’s global economy, he states. Firms that are successful analytical competitors select one or two distinct capabilities—attributes where they outshine rivals—and then apply extensive data and systematic analysis to bolster those capabilities, Davenport says. Companies like Anheuser-Busch (which uses a mobile workforce to feed data into a closely held analytics system called BudNet to optimize beer sales across geographies) are proving the approach’s value, he says. Davenport shares satisfying examples of how companies like Capital One, Harrah’s Entertainment, E.&J. Gallo Winery and American Express use analytics to create advantage. The second half of the book, a how-to guide, details getting started and executing. A concise discussion of the architecture of business intelligence explains key technology issues.As Davenport notes, CIOs will shape the analytical future. Without a consistent, enterprisewide approach to data management and a flexible BI architecture, a company can’t become an analytics champ. Related content opinion The changing face of cybersecurity threats in 2023 Cybersecurity has always been a cat-and-mouse game, but the mice keep getting bigger and are becoming increasingly harder to hunt. By Dipti Parmar Sep 29, 2023 8 mins Cybercrime Security brandpost Should finance organizations bank on Generative AI? Finance and banking organizations are looking at generative AI to support employees and customers across a range of text and numerically-based use cases. By Jay Limbasiya, Global AI, Analytics, & Data Management Business Development, Unstructured Data Solutions, Dell Technologies Sep 29, 2023 5 mins Artificial Intelligence brandpost Embrace the Generative AI revolution: a guide to integrating Generative AI into your operations The CTO of SAP shares his experiences and learnings to provide actionable insights on navigating the GenAI revolution. By Juergen Mueller Sep 29, 2023 4 mins Artificial Intelligence feature 10 most in-demand generative AI skills Gen AI is booming, and companies are scrambling to fill skills gaps by hiring freelancers to make the most of the technology. These are the 10 most sought-after generative AI skills on the market right now. By Sarah K. White Sep 29, 2023 8 mins Hiring Generative AI IT Skills Podcasts Videos Resources Events SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe