Background
Star Alliance has approximately 250,000 questionnaires that have been collected from Alliance carriers. To put the value of this data in perspective, many life-saving drugs on sale today with a value in the billions of dollars, have been analyzed with less than 1/10th or less of data that Star Alliance has available.
Although many predictive analysis and modeling techniques have been available for decades, the time and resources to internally plot all of the potential relationships among variables has not been undertaken even when money and statistical sophistication have not been a hinderance.
Take, for example, pharmaceuticals. Pharmaceuticals have long been governmentally-approved and a worldwide footprint, even if the mechanisms of the drugs were not fully explainable. Buproprion, often called Zyban, was not known to have the same chemical structure as the allele which triggers the need to smoke cigarettes among many people. After receiving reports worldwide that many depressed patients had stopped smoking after taking Buproprion, researchers discovered that it fills the same gene allele as nicotine, so the need to smoke decreases or ceases in most or all people who smoke. If there was a larger sample for the pharmaceutical manufacturer to use in trials, an analysis would have predicted this phenomenon, and the drug would have had dual-use approval from day one. Often times, consumer behavior too, is not easily predictable, and loyalty and engagement occurs for reasons which are beyond rationality and predictability, but are forecastable if the right analytics are used. Small sample size, incorrect questions, and mismatching tools too often results in analyses which point to misleading answers, is a problem for many companies. Thus, if the 250,000 Star Alliance questionnaires are analyzed to discover the underlying predictive structures of behavior among Star Alliance passengers, the method to build stronger demand based on customer feedback will more than likely be tapped. If the cause and effect relationships among the variables are understood, prediction and concrete action can be taken to build a solid base of engagement among Star Alliance members. Thus, the potential value of 250,000 questionnaires to Star Alliance in predicting future demand, decision criteria, and the elasticity of monetary and non-monetary drivers of higher-level business outcomes based on predictive analytics and data mining, could conservatively stretch into the hundreds of million dollars across Star Alliance carriers. J-PMC is uniquely qualified to conduct this predictive analysis, as we have more than a decade of creating and using brain and gene mapping, forced-choice and other unconventional methodologies and analytic techniques to create the most-widely used consumer and employee engagement models, starting with the work called 'The Neural Basis of Brand Addiction: An fMRI Study.’ The …show more content…
Instead of explaining what happened last month or last year, we use data to identify areas for future growth which cannot be seen by a normal data analysis. J-PMC’s predictive modeling offers Star Alliance the knowledge of what will drive passengers to fly on Alliance carriers, and what variables can be manipulated to increase market share, increase profit, up-sell, drive the purchase of more premium cabin seats, or increase in share of other offerings for which there is data for prediction. In other words, predictive analytics will explain the most influential behaviors which comprise the 'common dedication to the highest standards of safety and customer service ' for SA, and the 'individual style(s) and cultural identit(ies), and richness of diversity and multiculturalism ' that will drive more passengers to each of the Alliance …show more content…
However, the exact behaviors involved in employees who contributed to the specify areas targeted, namely Check In, Gold Track, Transfer, Boarding, Punctuality, In-Flight, Post-flight, Irregularities, Retention and Recommendation, Travel Experience, and [Star Alliance Benefits] .
Thus J-PMC recommends we identify the personnel who were involved in displaying these behaviors and conduct a focus group to find out the specify thinking behind the behaviors, and how the thoughts are manifested in specific behaviors and interactions with passengers. These focus groups can then become part of hiring, training, and in-service training, and manual development for all Star Alliance carriers so there can be (1) consistency across the Alliance, and (2), specific benefits for each airline to help each member benefit from the excellence in performance of the other airlines in the
Star Alliance has approximately 250,000 questionnaires that have been collected from Alliance carriers. To put the value of this data in perspective, many life-saving drugs on sale today with a value in the billions of dollars, have been analyzed with less than 1/10th or less of data that Star Alliance has available.
Although many predictive analysis and modeling techniques have been available for decades, the time and resources to internally plot all of the potential relationships among variables has not been undertaken even when money and statistical sophistication have not been a hinderance.
Take, for example, pharmaceuticals. Pharmaceuticals have long been governmentally-approved and a worldwide footprint, even if the mechanisms of the drugs were not fully explainable. Buproprion, often called Zyban, was not known to have the same chemical structure as the allele which triggers the need to smoke cigarettes among many people. After receiving reports worldwide that many depressed patients had stopped smoking after taking Buproprion, researchers discovered that it fills the same gene allele as nicotine, so the need to smoke decreases or ceases in most or all people who smoke. If there was a larger sample for the pharmaceutical manufacturer to use in trials, an analysis would have predicted this phenomenon, and the drug would have had dual-use approval from day one. Often times, consumer behavior too, is not easily predictable, and loyalty and engagement occurs for reasons which are beyond rationality and predictability, but are forecastable if the right analytics are used. Small sample size, incorrect questions, and mismatching tools too often results in analyses which point to misleading answers, is a problem for many companies. Thus, if the 250,000 Star Alliance questionnaires are analyzed to discover the underlying predictive structures of behavior among Star Alliance passengers, the method to build stronger demand based on customer feedback will more than likely be tapped. If the cause and effect relationships among the variables are understood, prediction and concrete action can be taken to build a solid base of engagement among Star Alliance members. Thus, the potential value of 250,000 questionnaires to Star Alliance in predicting future demand, decision criteria, and the elasticity of monetary and non-monetary drivers of higher-level business outcomes based on predictive analytics and data mining, could conservatively stretch into the hundreds of million dollars across Star Alliance carriers. J-PMC is uniquely qualified to conduct this predictive analysis, as we have more than a decade of creating and using brain and gene mapping, forced-choice and other unconventional methodologies and analytic techniques to create the most-widely used consumer and employee engagement models, starting with the work called 'The Neural Basis of Brand Addiction: An fMRI Study.’ The …show more content…
Instead of explaining what happened last month or last year, we use data to identify areas for future growth which cannot be seen by a normal data analysis. J-PMC’s predictive modeling offers Star Alliance the knowledge of what will drive passengers to fly on Alliance carriers, and what variables can be manipulated to increase market share, increase profit, up-sell, drive the purchase of more premium cabin seats, or increase in share of other offerings for which there is data for prediction. In other words, predictive analytics will explain the most influential behaviors which comprise the 'common dedication to the highest standards of safety and customer service ' for SA, and the 'individual style(s) and cultural identit(ies), and richness of diversity and multiculturalism ' that will drive more passengers to each of the Alliance …show more content…
However, the exact behaviors involved in employees who contributed to the specify areas targeted, namely Check In, Gold Track, Transfer, Boarding, Punctuality, In-Flight, Post-flight, Irregularities, Retention and Recommendation, Travel Experience, and [Star Alliance Benefits] .
Thus J-PMC recommends we identify the personnel who were involved in displaying these behaviors and conduct a focus group to find out the specify thinking behind the behaviors, and how the thoughts are manifested in specific behaviors and interactions with passengers. These focus groups can then become part of hiring, training, and in-service training, and manual development for all Star Alliance carriers so there can be (1) consistency across the Alliance, and (2), specific benefits for each airline to help each member benefit from the excellence in performance of the other airlines in the