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Just as the Internet and productivity tools extend the reach of and provide leverage to desk-based workers, technology is helping managers exploit ever-greater amounts of data to make smarter decisions and develop the insights that create competitive advantages and new business models. From "ideagoras" (eBay-like marketplaces for ideas) to predictive markets to performance-management approaches, ubiquitous standards-based technologies promote aggregation, processing, and decision making based on the use of growing pools of rich data.

Leading players are exploiting this information explosion with a diverse set of management techniques. Google fosters innovation through an internal market: employees submit ideas, and other employees decide if an idea is worth pursuing or if they would be willing to work on it full-time. Intel integrates a "prediction market" with regular short-term forecasting processes to build more accurate and less volatile estimates of demand. The cement manufacturer Cemex optimizes loads and routes by combining complex analytics with a wireless tracking and communications network for its trucks.

The amount of information and a manager's ability to use it have increased explosively not only for internal processes but also for the engagement of customers. The more a company knows about them, the better able it is to create offerings they want, to target them with messages that get a response, and to extract the value that an offering gives them. The holy grail of deep customer insight-more granular segmentation, low-cost experimentation, and mass customization-becomes increasingly accessible through technological innovations in data collection and processing and in manufacturing.

Examples are emerging across a wide range of industries. Amazon.com stands at the forefront of advanced customer segmentation. Its recommendation engine correlates the purchase histories of each individual customer with those of others who made similar purchases to come up with suggestions for things that he or she might buy. Although the jury is still out on the true value of recommendation engines, the techniques seem to be paying off: CleverSet, a pure-play recommendation-engine provider, claims that the 75 online retailers using the engine are averaging a 22 percent increase in revenue per visitor.²

Meanwhile, toll road operators are beginning to segment drivers and charge them differential prices based on static conditions (such as time of day) and dynamic ones (traffic). Technology is also dramatically bringing down the costs of experimentation and giving creative leaders opportunities to think like scientists by constructing and analyzing alternatives. The financial-services concern Capital One conducts hundreds of experiments daily to determine the appropriate mix of products it should direct to specific customer profiles. Similarly, Harrah's casinos mine customer data to target promotions and drive exemplary customer service.

Given the vast resources going into storing and processing information today, it's hard to believe that we are only at an early stage in this trend. Yet we are. The quality and quantity of information available to any business will continue to grow explosively as the costs of monitoring and managing processes fall.

Leaders should get out ahead of this trend to ensure that information makes organizations more rather than less effective. Information is often power; broadening access and increasing transparency will inevitably influence organizational politics and power structures. Environments that celebrate making choices on a factual basis must beware of analysis paralysis.

Further reading:

Thomas H. Davenport and Jeanne G. Harris, Competing on Analytics: The New Science of Winning, Boston: Harvard Business School Press, 2007.

John Riedl and Joseph Konstan with Eric Vrooman, Word of Mouse: The Marketing Power of Collaborative Filtering, New York: Warner Books, 2002.

Stefan H. Thomke, Experimentation Matters: Unlocking the Potential of New Technologies for Innovation, Boston: Harvard Business School Press, 2003.

David Weinberger, Everything Is Miscellaneous: The Power of the New Digital Disorder, New York: Times Books, 2007.

8. Making businesses from information

Accumulated pools of data captured in a number of systems within large organizations or pulled together from many points of origin on the Web are the raw material for new information-based business opportunities.

Frequent contributors to what economists call market imperfections include information asymmetries and the frequent inability of decision makers to get all the relevant data about new market opportunities, potential acquisitions, pricing differences among suppliers, and other business situations. These imperfections often allow middlemen and players with more and better information to extract higher rents by aggregating and creating businesses around it. The Internet has brought greater transparency to many markets, from airline tickets to stocks, but many other sectors need similar illumination. Real estate is one of them. In a sector where agencies have thrived by keeping buyers and sellers partly in the dark, new sites have popped up to shine "a light up into the dark reaches of the supply curve," as Rich Barton, the founder of Zillow (a portal for real-estate information), puts it. Barton, the former leader of the e-travel site Expedia, has been down this road before.

Moreover, the aggregation of data through the digitization of processes and activities may create by-products, or "exhaust data," that companies can exploit for profit. A retailer with digital cameras to prevent shoplifting, for example, could also analyze the shopping patterns and traffic flows of customers through its stores and use these insights to improve its layout or the placement of promotional displays. It might also sell the data to its vendors so that they could use real observations of consumer behavior to reshape their merchandising approaches.

Another kind of information business plays a pure aggregation and visualization role, scouring the Web to assemble data on particular topics. Many business-to-consumer shopping sites and business-to-business product directories operate in this fashion. But that sword can cut both ways; today's aggregators, for instance, may themselves be aggregated tomorrow. Companies relying on information-based market imperfections need to assess the impact of the new transparency levels that are continually opening up in today's information economy.

Further reading:

Hal R. Varian, Joseph Farrell, and Carl Shapiro, The Economics of Information Technology: An Introduction (Raffaele Mattioli Lectures), New York: Cambridge University Press, 2004.

Carl Shapiro and Hal R. Varian, Information Rules: A Strategic Guide to the Network Economy, Boston: Harvard Business School Press, 1999.

1 "How businesses are using Web 2.0: A McKinsey Global Survey," mckinseyquarterly.com, March 2007.

2 "Click here for the upsell," Business 2.0, July 11, 2007.

This article was originally published in The McKinsey Quarterly. Copyright (c) 2008 McKinsey & Company. All rights reserved. Reprinted by permission.

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