List of JMP Analytics Customers
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Since 2010, our global team of researchers has been studying JMP Analytics customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased JMP Analytics for Analytics and BI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using JMP Analytics for Analytics and BI include: Medtronic, a United States based Healthcare organisation with 50000 employees and revenues of $19.80 billion, Merck Germany, a Germany based Life Sciences organisation with 11000 employees and revenues of $3.58 billion, Procter & Gamble Germany, a Germany based Consumer Packaged Goods organisation with 2500 employees and revenues of $2.50 billion, Carsem, a Malaysia based Manufacturing organisation with 5000 employees and revenues of $1.00 billion and many others.
Contact us if you need a completed and verified list of companies using JMP Analytics, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The JMP Analytics customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Carsem | Manufacturing | 5000 | $1.0B | Malaysia | JMP Statistical Discovery | JMP Analytics | Analytics and BI | 2020 | n/a | In 2020, Carsem deployed JMP Analytics to provide statistical analytics capabilities at its manufacturing site in Ipoh, Perak. The implementation targeted core manufacturing KPIs including yield, quality, and cost, and it supported New Product Introduction activities for qualifying new packages, devices, materials and processes. JMP Analytics was used for hands-on data analysis using JMP software, implementing design of experiments based process characterization, process optimization, and exploratory statistical workflows. Configuration emphasized analyst and technician workflows for DOE methodology, KPI reporting, and the establishment of standard operating procedures as reference artifacts for daily manufacturing activities. Operational scope covered process technicians, process engineering, production, maintenance, and quality teams, with daily use cases that included line issue resolution, internal MRB handling, and preparation of customer 8D reports. Cross functional collaboration and direct communication with customers on yield and quality improvement were part of the routine operating model. Governance and process controls were reinforced through SOP creation and role based workflows, with process engineers driving KPI monitoring and technicians executing measurement and corrective tasks. This implementation describes Carsem JMP Analytics Analytics and BI support for manufacturing process engineering and quality functions. | |
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Medtronic | Healthcare | 50000 | $19.8B | United States | JMP Statistical Discovery | JMP Analytics | Analytics and BI | 2016 | n/a | In 2016, Medtronic deployed JMP Analytics within the Tissue Effect Research group to operationalize multivariate performance analysis for device R&D. JMP Analytics was used as an Analytics and BI solution to convert laboratory testing data into reproducible, scripted workflows for statistical evaluation of device performance. The implementation centered on a scripted application called the Seal Performance Tool, developed in JMP and used alongside JMP Pro for advanced modeling. The tool codified multivariate modeling routines, including quadratic regression overlays, simulation runs and visualization templates, to automate extraction of burst pressure, thermal spread and related performance parameters from large experimental data sets. Operational coverage focused on the Tissue Effect Research group and extended to engineers who sit on cross functional product development teams, as well as regulatory and quality stakeholders who consume analysis outputs for submissions. Nearly all members of the research group were provisioned with JMP, and the Seal Performance Tool was distributed and trained across the team to ensure consistent use and interpretation of results. Governance changes emphasized standardized methodologies, mandated training on the Seal Performance Tool and consistent reporting formats so that analytical evidence could be trusted by regulatory reviewers. Medtronic also began development of a second JMP application to automate predictive analytics for algorithm development, positioning the Analytics and BI deployment as a repeatable analytics platform for R&D. Results reported by the team include broader access to sophisticated statistical methods, more defendable analyses and improved ability to extract actionable insight from testing data. | |
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Merck Germany | Life Sciences | 11000 | $3.6B | Germany | JMP Statistical Discovery | JMP Analytics | Analytics and BI | 2019 | n/a | In 2019, Merck Germany implemented JMP Analytics to support biomarker discovery and clinical biostatistics work at its Darmstadt site. The deployment targets biostatistics and clinical research teams and is framed under the Analytics and BI category to handle exploratory and regulatory-quality analyses of complex clinical datasets. The implementation emphasizes exploratory data analysis and interactive visualization capabilities within JMP Analytics, enabling statisticians to iterate on data visualizations, run statistical tests, and prepare reproducible analytical artifacts for regulatory review. Configuration prioritized workflows that support collaborative review between statisticians and subject-matter experts, and the environment was used for both discovery-oriented analysis and formal regulatory-quality reporting. Operational scope is concentrated in Germany, with biomarker research teams in Darmstadt as the primary users, and the platform is applied to multi-dimensional clinical datasets common in biomarker research. The deployment supports cross-functional collaboration between statistical teams and clinical researchers, improving data interpretation and accelerating hypothesis generation from complex trial and biomarker data. Governance and process adjustments focused on embedding statistical rigor into routine research workflows and fostering structured collaboration between statisticians and domain experts. Outcomes reported include improved statistical rigor and faster insight generation from clinical datasets, and the use of JMP Analytics for regulatory-quality analyses helped align exploratory findings with formal reporting requirements. | |
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Consumer Packaged Goods | 2500 | $2.5B | Germany | JMP Statistical Discovery | JMP Analytics | Analytics and BI | 2013 | n/a |
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