Discovery Summit Korea 2023

1. Copyright © JMP Statistical Discovery LLC. All Rights Reserved.
KOREA

2. Hi-JMP: Establishment of AppStore Ecosystem to
improve Analysis Content Reusability
Taejun Ryu, SK hynix

3. Agenda
▪ JMP in Action
▪ Pain Point
▪ What is Hi-JMP?
▪ Key Services
▪ Architecture
▪ Core Technology
▪ Demo
▪ Summary

4. Data analytics tools for semiconductor field Analysts and Engineers
JMP in Action at SK hynix
* J : JMP / P : Python
• Being used by over 2,400 members
• JMP statistics and development training
• Specialized training course for CDS1)
• Research for yield & process improvement
• Automation of repetitive tasks using Add-In
1) CDS : Citizen Data Scientist

5. Need for an Environment to Focus on Key Analytical Content
Pain Point
Data Analysis
Data Retrieval
Datalake
Script
Development
Analysis Content
(Add-In)
Analyst
(CDS/EDS)
User
Data retrieval problem for automation
Sharing and Managing problem for content

6. What is Hi-JMP?
Efficiency Assets Sharing
• No-installation Deployment
• Usage Monitoring
• Permission Management
• Data Virtualization
• Analysis Results Assets
• Library Assets
• Platform Technology
• Analysis Content Share
• All Scripts Public
• Shared Library Support
An integrated platform by SK hynix for analytical efficiency and assets

7. Key Services
AppStore DevConsole Home
Rating
Review
Search
Release Notes
Register
Deploy
Version Control
Authorization
Monitoring
Download
Run
Customize
License
Notice
Quick Run

8. Architecture
AppStore
DevConsole
Home
Hi-JMP Frontend
Hi-JMP Backend
Auth/Logging
Deployment
Async
Monitoring
Notification
Hi-JMP Core Platform
Data Virtualization
Automation
Event Service
JMP
Hi-JMP Ecosystem
Datalake
RDB
API
App
App
User
Analyst
MetaDB NAS

9. Core Technology - Dynamic UI
main.jsl
Start-up
dynamic
area_a
area_b area_c
area_a.jsl
dynamic area_b.jsl
dynamic area_c.jsl
=
Dynamically combined screen
Hi-JMP Backend API

10. Core Technology - No-installation Deploy
AppStore
DevConsole
Home
Hi-JMP Frontend Hi-JMP Backend
Auth/Logging
Deployment
Async
Monitoring
Script Control
App
App
Analyst
MetaDB
NAS
User
Deploy Flow
Use Flow
① Deploy Script
② Request Deploy
④ Insert Deploy History
③ Save Uploaded Script
⑤ Response Deploy
⑥ Get
Deploy
Result
⑦ Download App
⑧ Run App
⑨ Request Latest Script
⑩ Get Latest Script
⑪ Response Latest Script

11. Demo
Demo (Video) Demo (Capture)

12. Summary
18 126 196
938
1371 1446
1735
2198
0
500
1000
1500
2000
2500
User trend (Cumulative)
v2.0 Open
Designer/Developer/Analyst
132
Deploy Event Count
3,098
User Team Count
455

13. Appendix. Demo (Capture)
Hi-JMP DevConsole

14. Appendix. Demo (Capture)
Hi-JMP AppStore

15. Appendix. Demo (Capture)
Hi-JMP Home & Quick

16. Copyright © JMP Statistical Discovery LLC. All rights reserved.
KOREA
Thank you