Business & Economics

Case Study: JMP061* Quantifying Sentiment in Economic ReportsApply Sentiment analysis to quantify the emotion in unstructured text.
Case Study: JMP054 Forecasting Copper PricesLearn various exponential smoothing techniques to build various forecasting models and compare them.
Case Study: JMP053 Cluster Analysis in the Public SectorUse PCA and Clustering techniques to segment the demographic data.
Case Study: JMP045 Modeling Gold PricesLearn univariate time series modeling using US Gold Prices. Build AR, MA, ARMA and ARMA models to analyze the characteristics of the time series data and forecast.
Case Study: JMP044 Pricing SpectaclesDesign and analyze discrete choice experiments (also called conjoint analysis) to discover which product or service attributes are preferred by potential customers.
Case Study: JMP043 Pricing Musical InstrumentStudy the application of regression and concepts related to choice modeling (also called conjoint analysis) to understand and analyze the importance of the product attributes and their levels influencing the preferences.
Case Study: JMP042 US Stock IndicesUnderstand the basic concepts related to time series data analysis and explore the ways to practically understand the risks and rate of return related to the financial indices data.
Case Study: JMP039 Detergent Cleaning EffectivenessAnalyze the results of an experiment to determine if there is statistical evidence demonstrating an improvement in a new laundry detergent formulation. Explore and describe the affect that multiple factors have on a response, as well as identify conditions with the most and least impact.
Case Study: JMP036 Online Mortgage ApplicationEvaluate the potential improvement to the UI design of an online mortgage application process by examining the usability rating from a sample of 50 customers and comparing their performance using the new design vs. a large collection of historic data on customer’s performance with the current design.
Case Study: JMP030 Customer ChurnAnalyze the factors related to customer churn of a mobile phone service provider. The company would like to build a model to predict which customers are most likely to move their service to a competitor. This knowledge will be used to identify customers for targeted interventions, with the ultimate goal of reducing churn.
Case Study: JMP029 Call Center ImprovementThe scenario relates to the handling of customer queries via an IT call center. The call center performance is well below best in class. Identify potential process changes to allow the call center to achieve best in class performance.
Case Study: JMP028* Credit Card MarketingA bank would like to understand the demographics and other characteristics associated with whether a customer accepts a credit card offer. Build a Classification model that will provide insight into why some bank customers accept credit card offers.
Case Study: JMP026 Lost SalesDetermine whether certain conditions make it more likely that a customer order will be won or lost.
Case Study: JMP025 Bank RevenueA bank wants to understand how customer banking habits contribute to revenues and profitability. Build a model that allows the bank to predict profitability for a given customer. The resulting model will be used to forecast bank revenues and guide the bank in future marketing campaigns.
Case Study: JMP024 Housing PricesAfter determining which factors relate to the selling prices of homes located in and around a ski resort, develop a model to predict housing prices.
Case Study: JMP023 Cell Phone ServiceDetermine whether wind speed and barometric pressure are related to phone call performance (percentage of dropped or failed calls) and use the resulting model to predict the percentage of bad calls based upon the weather conditions.
Case Study: JMP021 Cost LeadershipAssess the effectiveness of a cost leadership strategy in increasing market share, and assess the potential for additional gains in market share under the current strategy.
Case Study: JMP020 Direct MailEvaluate different regression models to determine if sales at small retail shop are influence by direct mail campaign and using the resulting models to predict sales based upon the amount of marketing.
Case Study: JMP019 ContributionsPredict year-end contributions in an employee fund-raising drive.
Case Study: JMP011 Priority AssessmentDetermine whether a software development project prioritization system was effective in speeding the time to completion for high priority jobs.
Case Study: JMP009 Fish StoryUse the DASL Fish Prices data to investigate whether there is evidence that overfishing occurred from 1970 to 1980.
Case Study: JMP006 Price QuotesEvaluate the price quoting process of two different sales associate to determine if there is inconsistency between them to decide if a new more consistent pricing process should be developed.
Case Study: JMP004 Film on the RocksUse survey results from a summer movie series to answer questions regarding customer satisfaction, demographic profiles of patrons, and the use of media outlets in advertising.
Case Study: JMP002 Baggage ComplaintsMarlene Smith explores differences between the airlines, whether complaints are getting better or worse over time, and if there are other factors, such as destinations, seasonal effects or the volume of travelers that might affect baggage performance.

* This case study requires JMP Pro or JMP Student Edition.