Prince Shiva Chaudhary, Data Scientist, Intel
Logan Mathesen, Data Scientist, Intel
At Intel, the use of JMP and JSL has become integral to the organization’s data-driven decision-making infrastructure. To improve data exploration, visualization, process engineering, and quality control capabilities (and to standardize statistical analysis) our team created the "Stats” package. The Stats package comprises multiple customized JSL scripts that support statistical standards, and the output generated from these scripts provides standardized, agreed-upon reports. Since its creation, the Stats package has been used globally by thousands of individuals across our engineering organizations, saving countless hours in standard data analysis and reporting.
In this presentation, the Stats package development team shares a small portion of the package, specifically relating to scripts that leverage native JMP quality and process engineering platforms to create fully integrated offline reports. The presentation showcases the design process of JSL scripts, starting with the desired statistical standard and continuing through the development of user-friendly script execution windows. We illustrate the extensive data blending, statistical analysis, and data visualizations that constitute the final output reports.
The team shares insights into the benefits of using custom JSL scripts for streamlining statistical analysis, as well as the challenges and best practices in developing these scripts. The presentation also demonstrates the effectiveness of the Stats package in improving the efficiency and accuracy of statistical analysis across our engineering teams.
