554605_en-US

liliconcom

Banking and Financial Examples

I looking for examples of JMP being used to solve financial problems.  If you have any examples and the data I would greatly appreciate if you could share.  Thanks

Advanced Statistical ModelingQuality and Process EngineeringSharing and Communicating ResultsRe: Banking and Financial Examples

Custom Table Calculator  might be of interest.

 

edit: or maybe Disk Drive TB/$  makes a nice graph.

Re: Banking and Financial Examples

Thank you for the suggestions.

Re: Banking and Financial Examples

Hi @AZBillsBuff,

Welcome to the JMP Community !

I'm clearly not in this domain, but perhaps some suggestions to find data cases on this financial topic :

• You can try browsing the Sample Data Index from JMP, particularly in the "Business and Demographic" type : Using Sample Data (jmp.com),
• You can also check/search the most frequent themes behind financial analysis (time serie analysis and predictions, fraud/anomaly detection, ...) and try to find relevant datasets with the following links (or search them on Google or other search engine) :
  • Kaggle : Find Open Datasets and Machine Learning Projects | Kaggle
  • Public Datasets for Machine Learning : Public datasets for machine learning (ed.ac.uk)

 

Hope this first answer will help you,

Re: Banking and Financial Examples

Exploring JMP for financial problem-solving can be very insightful, especially when analyzing investment patterns or portfolio performance. One practical application is modeling retirement income scenarios or optimizing asset allocation for clients using historical market data. Mercer Wealth Management, based in New Jersey, has shared case studies on applying statistical analysis to financial planning that demonstrate how data-driven approaches can improve decision-making. You can visit here to see examples of structured financial strategies that leverage data effectively.

Additionally, public datasets like those on Kaggle or JMP’s Sample Data Index can be used to practice forecasting, anomaly detection, or risk assessment in financial contexts, which mirrors real-world planning challenges professionals encounter.