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HBSP (USA)
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Artificial Intelligence for the Real World
Davenport, Thomas H.; Ronanki, RajeevArticle HBS-R1801H-EInformation TechnologiesCognitive technologies are increasingly being used to solve business problems; indeed, many executives believe that AI will substantially transform their companies within three years. But many of the most ambitious AI projects encounter setbacks or fail. A survey of 250 executives familiar with their companies' use of cognitive technology and a study of 152 projects show that companies do better by taking an incremental rather than a transformati...Starting at €8.20
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How to Design Smart Business Experiments (Spanish version)
Davenport, Thomas H.Article HBS-R0902EStrategyManagers regularly implement new ideas without evidence to back them up. They act on hunches and often learn very little along the way. That doesn't have to be the case. With the help of broadly available software and some basic investments in building capabilities, managers don't need a PhD in statistics to base consequential decisions on scientifically sound experiments. Some companies with rich consumer-transaction data - Toronto-Dominion, CKE...Starting at €8.20
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Competing on Talent Analytics (Spanish version)
Davenport, Thomas H.; Harris, Jeanne; Shapiro, JeremyArticle HBS-R1010BStrategyDo investments in your employees actually affect workforce performance? Who are your top performers? How can you empower and motivate other employees to excel? Leading edge companies such as Google, Best Buy, P&G, and Sysco use sophisticated data-collection technology and analysis to answer these questions, leveraging a range of analytics to improve the way they attract and retain talent, connect their employee data to business performance, diffe...Starting at €8.20
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The HBR Agenda 2011 (Spanish version)
Ariely, Dan; Brown, Tim; Cappelli, Peter; Davenport, Thomas H.; Duflo, Esther; Fernández-Aráoz, Claudio; Govindarajan, Vijay; Gratton, Lynda; Hackman, J. Richard; Ibarra, Herminia; Kedrosky, Paul; Lafley, A.G.; Li, Charlene; Ma, Jack; Manzoni, Jean-Francois; Pink, Daniel H.; Porter, Michael E.; Schein, Edgar H.; Schmidt, Eric; Schwab, Klaus; Shirky, Clay; Stiglitz, Joseph E.; Sutton, Robert I.; Tyson, LaArticle HBS-R1101BKnowledge and CommunicationJoseph E. Stiglitz will be crafting a new postcrisis paradigm for macroeconomics whereby rational individuals interact with imperfect and asymmetric information. Herminia Ibarra will be looking for hard evidence of how "soft" leadership creates value. Eric Schmidt will be planning to scale mobile technology by developing fast networks and providing low-cost smartphones in the poorest parts of the world. Michael Porter will be using modern cost a...Starting at €8.20
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Keeping Up with the Quants 7. Working with Quants
Davenport, Thomas H.; Kim, JinhoBook Chapter HBS-7700BC-EKeeping Up with the Quants is a seven-chapter book published in 2013 by the Harvard Business Review Press and written by Thomas Davenport, Professor of IT and Management at Babson College, and Jinho Kim, Professor of Business and Statistics at Korea National Defense University. Written for non-analysts and "non-quants," this book is a guide to summarizing data, interpreting its meaning, and using it in decision-making. The authors explain that a ...Starting at €8.20
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Data: The Prerequisite for Everything Analytical--How to Manage Your Data for More Effective General Management
Davenport, Thomas H.; Harris, Jeanne G.; Morison, RobertBook Chapter HBS-5741BC-EStrategyFor too long, managers have relied on their intuition or their "golden gut" to make decisions. Important decisions have been based not on data, but on the experience and unaided judgment of the decision maker. Sometimes intuitive and experience-based decisions work out well, but all too often they go astray, end in disaster, or result in money being left on the table. If you think that your organization ought to make more decisions based on facts...Starting at €8.20
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Leadership: The Deciding DELTA Factor--The Human Element Behind Analytical Mastery
Davenport, Thomas H.; Harris, Jeanne G.; Morison, RobertBook Chapter HBS-5745BC-EStrategyThere is no doubt that to be a full-fledged analytical competitor, you need the CEO in your corner. However, there is also no doubt that almost any employee can move an organization in a more analytical direction. In this chapter you will learn how you can make your organization more analytical, advocate for more fact-based decision making, and encourage your employees to become analytical leaders themselves, regardless of your position. By descr...Starting at €8.20
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Embed Analytics in Business Processes: A How-To Guide
Davenport, Thomas H.; Harris, Jeanne G.; Morison, RobertBook Chapter HBS-5751BC-EStrategyIf you really want to put analytics to work in your organization, you need to make them an integral part of everyday business decisions and business processes. A cross-functional process perspective enables you to appreciate how different parts of the business work together (or fail miserably in doing so) and to identify all the ways analytics might be used to create a better outcome for the enterprise. In this chapter, the authors of Competing o...Starting at €8.20
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Reverse Engineering Google's Innovation Machine
Iyer, Bala; Davenport, Thomas H.Article HBS-R0804C-EEven among internet companies, Google stands out as an enterprise designed with the explicit goal of succeeding at rapid, profuse innovation. Much of what the company does is rooted in its legendary IT infrastructure, but technology and strategy at Google are inseparable and mutually permeable - making it hard to say whether technology is the DNA of its strategy or the other way around. Whichever it is, Iyer and Davenport, of Babson College, beli...Starting at €8.20
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How to Design Smart Business Experiments
Davenport, Thomas H.Article HBS-R0902E-EStrategyManagers regularly implement new ideas without evidence to back them up. They act on hunches and often learn very little along the way. That doesn't have to be the case. With the help of broadly available software and some basic investments in building capabilities, managers don't need a PhD in statistics to base consequential decisions on scientifically sound experiments. Some companies with rich consumer-transaction data - Toronto-Dominion, CKE...Starting at €8.20