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Research leads to better-tasting frozen pizza

Schwan, a leading US frozen food specialist, faced a key strategic problem. It learnt that its main competitor – Kraft – was working on a new type of frozen pizza that had a rising crust. Schwan knew that if Kraft could succeed in creating a better-tasting frozen pizza, then it had the potential to command a market that was dominated by lower-quality products. As one article put it ‘. . . . it was often hard to taste the difference between a frozen pizza and the cardboard box it came in.’41 What Schwan didn’t know was how fast Kraft was planning on rolling out this new product and, therefore, how quickly it needed to respond.
To find this information out it contracted a corporate intelligence firm (a SCIP member), who in turn hired a former undercover law enforcement specialist who had built his skills by spending years infiltrating criminal gangs. Through adopting a series of ‘fake’ phone disguises, including a journalist, environmental campaigner and potential supplier, the specialist made phone calls to various individuals involved with the construction and operation of a new plant, together with public employees involved with approving construction and running. Through this he was able to piece together an accurate picture of a very high projected volume of sales. Based on this advice, Schwan invested considerable resources into launching its own ‘Freschetta’ brand, which was able to secure a large part of this important new market.

 
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Targeting business elites in India

In a study of the ‘business elite’ in India (senior executives living very comfortably, travelling widely, consuming luxury goods and services and making important business purchases for their companies), many sampling challenges were faced. Though the number of participants surveyed was relatively high, researchers recognised that their work should be considered a pilot and that much more work was needed to generate a complete sampling frame. For their study, a systematic random sample was drawn from a ‘cleaned-up’ database of companies. In an initial telephone screening exercise, they targeted 1,714 companies and made successful contact with 859 of them (50.1%). They asked each of these companies: (1) who the most senior person in the company in that city was; (2) whether the company employed heads of a pre-defined list of other functions; and (3) what the contact details were for the most senior person and a randomly selected other function. Job functions were those core to the decision-making process and included: chief executive (most senior person); deputy chief executive/managing director (second-most senior person); head of finance; head of international/domestic sales; head of marketing and communications; head of production management/ operations; head of information technology. From the interviews, they estimated that the universe of eligible business executives in qualifying companies across eight Indian cities totalled 106,307. This was based on the incidence, at each of the companies sampled, of a randomly generated list of job functions. They also pinpointed 1,499 executives they wanted to contact, of whom 600 (40%) agreed to be interviewed face to face.

 
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What information can you get from competitive intelligence?

The ethical issues surrounding competitive intelligence (CI) can be understood by looking at some of the activities that practitioners of CI claim they can undertake. The following list comes from an article profiling a CI professional in the USA and lists some of the things they claim they can undertake, the likelihood of success and how long it will take to gather the information:

• Cell-phone number of your competitor’s main contact with Walmart:
• 80% chance; five minutes.

• The names and contact information of the people suing your biggest rival:
• 80% chance; 30 minutes.

• Stake out your competitor’s booth at a trade show to see what people are saying about your product:

• 95 % chance; four hours.

• The market segmentation your competitor is using in its advertising:
• 95% chance; one to three days.

• Stake out your competitor’s manufacturing facility to see how much stuff it’s making:
• 95% chance; three days to three weeks.

• The names of your competitor’s top five salespeople and their salaries:
• 80% chance; margin of error +/− 10%; three days.

• Identify which of your competitor’s former executives are most likely to come to work for you:
• 80% chance; one week.

• Profit margin of your competitor:
• 50–50 chance; margin of error +/− 10%; five to ten days.

 
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1. Perform a vertical analysis of the T Resort’s 2008 income statement. 2. Perform a vertical analysis of the T Resort’s December 31, 2007, balance sheet. 3. Perform a vertical analysis of the T Resort’s December 31, 2008, balance sheet. 4. Perform a horizontal analysis of the T Resort’s 2007 and 2008 balance sheets. 5. Is the T Resort too heavily in debt? How can you evaluate its debt structure? 6. What is the projected current ratio for the T Resort as of December 31, 2007, and 2008? Are the ratios favorable? 7. What are the projected profit margin, and return on equity for The T in 2008? 8. What will be the inventory turnover rate for The T in 2008?

1. Perform a vertical analysis of the T Resort’s 2008 income statement. 2. Perform a vertical...-1

1. Perform a vertical analysis of the T Resort’s 2008 income statement. 2. Perform a vertical...-2

 
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