The first step in making most business decisions, such as marketing, hiring, and investing, is to collect data. In most cases, information is captured in the form of words. Once data collection is complete, the next step is to analyze the data. In many cases, they are marketing analysts, human resources managers, and portfolio managers as specialized analysts who perform such analysis. Should we believe their analysis, and recommendations, in the light of some recent scientific research?
It's tough. :
Focus Group, Inverview, Survey, Qualitative Analysis, Investment Analysis, Open-End Question, Decision Making, Negotiation Method, Conversation Analysis, Negotiation, Text Analysis
Article body:
The first step in making business decisions is collecting data. In most cases, information is collected in the form of words (also called qualitative or unstructured data). For example, marketing researchers conduct interviews within departments that conduct focus groups, or use open-end questions in surveys, product money, for example, human resource manager interviews, candidates who conduct our best It is the job of a good candidate. Once data collection is complete and words are available, the expert who collected the data analyzes these words.
Recent studies (Craigie M, Loader B, Burrows R, Muncer S. The reliability of health information on the Internet: a review of expert assessment. Medical Internet research. 2002 Jan-Mar; 4 (1): e2) They Measure the quality of data that experts are consistent with when analyzing qualitative data. Data from the text is posted in a message connected to the 18x series, so the message afflicts individuals with the board It is a chronic disease. Each thread consisted of a number of start messages, or questions, and responses, or answers. The experts who process the data were working together in the same expert unit, and with five doctors who had at least five years of experience in treating the disease of their choice. Devised two scales. Start messages or questions were coded according to the 6-part scale. A = Excellent. B = not good, but little detail The answers or answers were coded according to another 6-part scale: a = evidence based, excellent; B = accepted wisdom; C = personal Opinions; D = misleading, irrelevant; E = false; F = possibly dangerous.
After processing the data, codes assigned by all five experts were compared using three statistical tests: Kappa, Gamma, and Kendall In addition, two of the experts assigned to the question Shows statistically significant <b> dis-agreements </ b> between the codes given, and different combinations of experts are assigned codes to the answers. Another doctor says the same answer "E = false", or "F = probably dangerous" when labeled "Excellent"
<b> Points to consider: </ b>
1. In this study, the analyst was a doctor with at least five years of experience in treating certain chronic diseases. These analysts are the most experienced market researchers analyzing qualitative customer data, or the most experienced human resources manager analyzing candidate data Therefore, these highly trained experts are qualified If you were not able to demonstrate consistent processing of historical data, experts with less training would
2. The criteria for this study were whether the answer was "based on evidence" (see Code A). This is an objective standard. Unlike this study, the majority of qualitative research in business involves subjective criteria such as preferences, morals, values, preferences. If physicians were unable to consistently apply a single objective criterion when coding text, less trained specialists could be used to assess qualitative data.
3. How concerned would the market researchers be in the analysis focus group? A typical focus group holds about 12,000 words. The data for this study included 18 threads. The average thread consists of about 5 posts and about 120 words each. These figures suggest that the data in this study contains 10,800 words. In contrast, a typical market research survey consists of a 4-8 focus group, or 4 to 8 times more text. Thus, if the research experts did not show consistency with a single focus group and comparable amounts of data, market researchers would have much larger data sets
4. How should I worry when HR managers are analyzing a pool of candidates? A copy of the one-hour interview holds about 6,000 words (when hiring a middle and upper manager, the interview is a total day when interviewing several candidates or more candidates for the full day of the bulk order) The data may contain more than 30,000 words (five candidates) Therefore, if the survey expert does not show consistency with the amount of data corresponding to the two interviews, HR manager Much larger data set
5. How anxious, investment analysts analyze some companies. The annual report may contain tens of thousands of words. For example, the IBM 2004 annual report is 100 pages long and contains over 65,000 words. Therefore, experts in this survey are consistent in analyzing data sets that contain <b> 15% </ b> of data in the <b> single </ b> company's annual report. If you did not show
6. In this study, a pair of doctors assigned different codes to the same question or answer. For example, one doctor labeled "a = good based on evidence," but another doctor labeled the same answer "E = false" or "F = probably dangerous" label "who is correct After all this is a drug, and both can not be right Who should we believe in? And what do you do as a decision maker? If the first doctor seems right, respond You should consider it great advice and follow its instructions You should run for you if the second doctor believes to be right Such great professionals will handle small datasets correctly as they are Now or if you fail to convince us that you can
<b> Summary: </ b>
The first step in making business decisions is collecting data. In most cases, information is collected in the form of words. If words are available, data collection experts analyze these words and show the results to the decision maker. As research by Craigie, et. Al, suggesting, these experts most often fail their analysis of qualitative data and can prevent decision makers from making the right decisions
Cold talk before the letter of sales available
Refer to the sales letter and start a cold call with the following traditional sales and marketing techniques. People just don't read sales letters a lot.
It's tough. :
Cold Call, Cold Call, Sales Training, Telephone Sales, Telephone Exploration, Sales Exploration, Sales Script, Telesales, Telemarketing, Mortgage Sales, Mortgage
Article body:
<p> Do you remember the game of numbers? Well, that's the same thought behind shipping from a sales letter. The hope is that with every hundred or so letters, some sales will occur. </ p>
<p> If you don't know how to call and build trust from scratch, rely on letters, brochures, or email to do work But once you learn how cold the right call -New ideas-Realize that the letter of sale is not really any help at all. </ p>
<p> Here are four reasons to consider making a cold call without reference to a sales letter. </ p>
<p> 1. You will soon be nailed as a traditional salesperson </ p>
Launching your cold call by referencing a sales letter is the following traditional sales and marketing technique. This indicates to potential customers that they are traditional salespeople. </ p>
<p> Do you really want to be associated with something that brings painful memories of sales pressure? Get completely broken out of that negative salesperson stereotype and do something good to offer something new. </ p>
<p> 2. People just do not read all the sales letters for all that </ p>
<p> The hope is that the potential customer saw your sales letter before calling. On that day, I hope you are reading yours from all the other letters that arrived on their desk (not). </ p>
When you call <p>, you already know it. </ p>
<p> But almost no one reads the letter of sale. If they do, they only remember them vaguely. </ p>
<p> 3. Cold conversations are difficult to initiate </ p>
0 comments:
Post a Comment