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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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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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Amazon Go: Venturing into Traditional Retail
Wiboon Kittilaksanawong; Aurelia KarpCase IVEY-9B17M092-EEntrepreneurship, StrategyIn December 2016, Amazon.com, Inc. (Amazon), the largest online retailer, entered the offline retailing industry by launching its first Amazon Go store in Seattle. Previously, the company had entered the food, diaper, and housekeeping product manufacturing industries with its Amazon Elements brand. The company had not been profitable until 2001 and was still facing some financial difficulties, but it was named the fourth most valuable public comp...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
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Competing on Talent Analytics
Davenport, Thomas H.; Harris, Jeanne; Shapiro, JeremyArticle HBS-R1010B-EStrategyDo 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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Analytics 3.0
Davenport, Thomas H.Article HBS-R1312C-EStrategyThose who study "data smart" companies believe that we've already lived through two eras in the use of analytics--we might think of them as "before big data" and "after big data"--and are entering a third. It represents a far-reaching resolve to apply powerful data gathering and analysis not just to a company's operations but also to its customer services and products. This strategic change in focus means a new role for analytics. Companies will ...Starting at €8.20
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Know What Your Customers Want Before They Do
Davenport, Thomas H.; Mule, Leandro Dalle; Lucker, JohnArticle HBS-R1112E-EStrategyShoppers once relied on familiar salespeople to help them find exactly what they wanted--and sometimes to suggest additional items they hadn't even thought of. But today's distracted consumers, bombarded with information and options, often struggle to find products or services that meet their needs. Advances in information technology, data gathering, and analytics are making it possible to deliver something like the personal advice of yesterday's...Starting at €8.20