Overview
Overarching mission
Spread the use and impact of JMP products far and wide within the Science and Engineering communities at Applied Materials.
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Three year revenue and use profile
User count
2017: 754
2018: 754
2019: 1010
2020: 2991
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Community membership
2017:
2018:
2019:
2020:
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STIPS enrollment
2018: 26
2019: 37
2020: 15 as of June 29, 2020
2021: 28 as of April 16, 2021
Total all years: 106
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TSR
2017: $397,676
2018: $735,091
2019: $642,618
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Customer Care
JMP days planned/executed
Engagement score (when available):
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Account business profile
2019 Revenue: $14,610,000,000
Cost of Revenue:
Total Employees: 21,000
# Engineers/Scientists:
Quick Ratio: 1.89
D/E Ratio: .69
Operating Margin: 20.45
Profit Margin: 18.89
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Training Programs
Statistics/Analytics:
JMP: Have JMP Days as "training classes". Have had recent DOE and Reliability via SAS Edu.
Other:
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Technical Value
Departments using JMP: Product and Process Development, Client Services
Value received: Product and Process Development, Heavy interaction onsite at Fabs with their customers for process improvement and failure analysis
How do they use it? DOE, Modeling, Data Prep and Data Visualization, Reliability
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Sales opportunities
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Account Info
Legal name: Applied Materials Inc
Common name: AMAT, Applied
Email domains: @amat.com
JMP License Info
TSR: - 2018: $702,900.00
Site Location:
Contract #35969
Sites:
558196 – 18400 TOTUSERS; Santa Clara, CA
Nonstandard Items: Report number of total employees 60 days prior to renewal.
Allowed Countries: as of June 2020
Uplift %: N/A with TELA in place
As of 01MAY2019 Vish report 2400 JMP users @ AMAT with interest in 30 JMP Pro users in Santa Clara, India, Israel, Taiwan, and Austin. Have not moved forward on JMP Pro due to inability to fun.
Major sites with JMP users
Site/Location
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Country
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Number of Users
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Santa Clara, CA
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USA
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911
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Singapore
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53
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Taiwan
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34
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Budget
FY Starts November 1
Internal chargeback process for JMP licenses
When budget for next year’s renewal?
Who manages this process?
Contacts
Champions
Americas
Name
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Location
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Title/Role
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Sidharth Bhatia
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Santa Clara, CA
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Sr Director, Sensors, Metrology and Software (SMS) Division
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Charles Chen
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Santa Clara, CA
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Senior Process Engineer
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Chris Olsen
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Santa Clara, CA
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Sr. Director FEP-SPG
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Europe
Name
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Location
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Title/Role
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Andreas Jendrzey
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Alzenau, Germany
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Process Engineer R&D
Display and Flexible Technology Group
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Dr. Antje Titzmann
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Alzenau, Germany
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Process Engineer
R&D Display PVD
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Asia
License Administrator (SAS rep in GIDB), tenure as SAS rep:
Function
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Name
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Contact
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SAS Contract Representative
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Vishwanath Selvaraj
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3050 Bowers Ave, Santa Clara, CA, +1 408 986-7395 vishwanath_selvaraj@amat.com
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Purchasing
Michael Colletti,
Training
Americas - for training inquiries, direct JMP users to Chris Olsen
As of March 2022, have internal training program that is a monthly workshop. Includes JMP, Tableau, Excel and soon will include R and Python. Recently got approval for one of the Premier JMP Sessions to count at an "internal training credit."
Europe
JMP related Training Programs
Executive sponsors
Power Users
Software Deployment
Version of JMP currently used: JMP 13
Push/pull – how does it get deployed, repackage?:
License update process –
Value of JMP
Departments/divisions using JMP
Discovery Papers/Posters
None
Data Infrastructure
Analytic Tool/Competitive Landscape
Minitab: Some at Applied Materials Germany use it for DOE
Strategy
Notes on Technical Engagement
Activity
- 13.02.2019 JMP Pro Remote Demo, Sunnyvale, CA – Peter Hersh and Scott Wise.
- Kien Wong master black belt was asked by his Manager, Liam Ferryanto, to evaluate JMP Pro compared to standard JMP
- Attendees – Kien Wong, Peter Hersh, Scott Wise and Dara Hammond.
- Summary of demo– Graph Builder and Introduction to Dashboards and Scripting presented by Pete Hersh – Kien has a specific project in mind where he has a small amount of runs and wants to build a better predictive model. He gave the example of a DSD as a starting point. Pete walked through running a DSD then doing stepwise regression in standard JMP. Kien said that is exactly what we do now. Then showed him how GenReg with Cross validation can be used instead to build a predictive model instead of a descriptive model. He understood the concept. Also showed off, Bootstrap forest and Neural Network.
- Customer screen share – Kien shared his screen for the last part of the demonstration. He worked through an anonymized data set that was a current project with 34 runs some OFAT and some an augmented design. We got very good models using Neural Networks but did not do as well with other techniques. Kien seemed satisfied with the demo and let us know he would follow up with the engineer he is working with to learn more about the device physics. Then he would let us know about any other questions that might come up.
- 28.02.2019 Help with DOE presentation to internal groups, Sunnyvale, CA – Bill Worley, Don McCormack, and Scott Wise.
- Sid Bhatia (Director, Systems Engineering) presented on why designed experiments were better that OFAT internally to the DDP Analytics and Statists User Group Pretty sure that DDP = Dielectric Deposition Products. Believe it is an internal periodic DDP Analytics meeting where Sid is trying to encourage better analytic usage…in this case, the use of DOE over OFAT practices.
- 03.04.2019 Help with Automation of model Building, Sunnyvale, CA – Peter Hersh.
- Kien Wong (Black Belt, SAE) He is tasked with streamlining DSD analysis for the Engineers. They are analyzing 200-300 responses from a DSD by launching Stepwise then fit model and the Engineers keep getting the analysis wrong. He is working with SAS education for a consulting services was quoted 100 hours of work to set up the add-in. Wants the Engineer to pick the responses and the factors then have the add-in make an RSM model run stepwise then run fit model behind the scenes.
- 11.04.2019 DOE and advanced Model Building Presentation, Sunnyvale, CA – Peter Hersh.
- Charles Chen and his group of ~20 engineers came to the JMP presentation. Walked through setting up a DoE and analysis using stepwise regression.
- Showed the group cross validation and how that leads to better predictive models
- Charles talked about the groups desire to get DOE certified and who might want JMP Pro.
