Keynote 2: 엔지니어링 효율성 개선

Copyright © JMP Statistical Discovery LLC. All rights reserved.
Improving Engineering Efficiency
엔지니어링 효율성 개선

Dan
Valente
Director, Product Management
Aurora
Tiffany-Davis
Principal Software Developer

Becoming efficient
with analytics is the goal
of every organization.

Given that we all agree that
analytics are crucial to our
businesses…

Reactive problem solving
Proactive product and process
improvement

How do I get time to spend of
productive and process
improvement?

JMP helps individuals, teams, and organizations
increase engineering efficiency.

Doing the right things,
not just doing things right.
Problem Solution
>>> Velocity >>>
What is engineering efficiency?

jmp.com/success
What does engineering efficiency look like?
BASF
Design time reduced by
more than 75%, ensuring
cleaner dishes and a
healthier environment.
NXP
Fabrication steered
toward zero-defect status
for semiconductor
processes.
Murata
Data preparation work
for new products
reduced from one week
to 15 minutes.
Novozymes
Method with 752 tubes
across 4 experiments
down to just 300 tubes
in 1 experiment.

• Can you identify data that can validate that
you’ve solved the problem?
• How much money did the organization lose
during the problem-solving process?
• Do you solve the same problem more than
once?
• What problems are really important?
• Is your problem identification process data-driven?
• Do I have the right data to answer this question?
Problem Solution
>>> Velocity >>>
What challenges engineering efficiency?

Analytic competency.

Product
Innovation
Highest Need for
Analytics
Lower Need
for Analytics
Process Innovation
✓ A strong R&D investment with teams
of scientists and engineers focused on
innovation to drive profitability.
✓ Complex problems that need timely
solutions that can be implemented
collaboratively across the organization.
✓ Rapid development cycles for new
products and processes to remain
competitive.
✓ A need to define new processes and
stabilize them once in production.
What industries have a strong need
for engineering efficiency?
High Need for
Analytics
High Need for
Analytics

Time is your most valuable asset.
But it’s not just time, it’s the quality
of that time.

Time
Value
vs

Time vs Value
Advanced
Statistical
Modeling
Automation and
Scripting
Design of
Experiments
Data Access
Data Blending
and Cleanup
Data Exploration and
Visualization
Predictive
Modeling and
Machine Learning
Basic Data
Analysis and
Modeling
Quality and
Process
Engineering
Reliability
Analysis
Consumer and
Market Research
Content
Organization
ANALYTIC CAPABILITIES INSIGHTS
JMP Live
HTML
Business Docs
Images
Files
Docs
Webpages
Databases
Web APIs
Cloud Sources
3rd Party Files
DATA
Mass
Customization
Sharing and
Communicating
Results
Open Source
Languages

Demo
Data Access and
Data Cleanup
Automation with
Workflow Builder
Sharing Results with
JMP Live

Data Access and
Data Cleanup
Automation with
Workflow Builder
Sharing Results with
JMP Live
✔ Join data across
boundaries.
✔ Easily extract data to
inform analysis.
✔ Process large volumes of
data quickly.
✔ Easy to get started in
the flow.
✔ Efficient automation,
no code required.
✔ See productivity gains
right away.
✔ Share results in the
analysis flow.
✔ Keep results up-to-date
automatically.
✔ Let collaborators
explore results and ask
further questions.
JMP increases engineering efficiency

What does improving engineering
efficiency mean for individuals,
teams, and their organizations?

Problem Solution
>>> Velocity >>>
Individual wins:
✓ Solve problems quicker.
✓ Avoidance of tedious tasks.
✓ More time to work on what you were hired for.
✓ More time for innovation.
Organizational wins:
✓ Decreased costs, reduced waste.
✓ Increased productivity without hiring more people.
✓ Greater employee satisfaction and retention.
✓ Higher customer satisfaction.
✓ Better, more confident decision making.
Effective use of analytics

Associated
Problem Sets
Statistical
Literacy
Empowering
Problem Solvers
Sharing outside
organization
Sharing within
organization
Sharing proven
methods
Data
Business
Problems to
Analytical
Problems
Mapping
Solutions
Optimized
Workflows
Amplifying
Value
Improving engineering efficiency at scale

Customer driven use-cases in core industries

Customer driven use-cases in core industries
https://community.jmp.com/t5/Discovery-Summit-Korea-2021/REST-API-기반-통합-Add-in-Hi-JMP-소개-2021-KR-30MP-1024/ta-p/434585
https://community.jmp.com/t5/Discovery-Summit-Korea-2021/자동화된-JMP를-활용한-신속한-개선-기회-발견-2021-KR-30MP-1018/ta-p/434581

Time
Driving Value
for

Time
Experimentation
for

Time
Optimization
for

Time
Learning
for

Time
Innovation
for

Improving
Engineering Efficiency
our mission since 1989.
Helping scientists and engineers
speed innovation by enabling better
decisions with analytics.

04
Tell us what you
think
03
Join the JMP
Early Adopter
Program
02
Provide feedback
to JMP R&D and
Product
Management
Continue the conversation
01
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JMP Expo

Let us hear from you
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Product Feedback
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Development Prioritization

JMP Live
Helping you make clear, quick decisions from reliable, up-to-date information
신뢰할 수 있는 최신 정보를 바탕으로 명확하고 빠른 의사결정을 내릴 수 있도록 지원
DATA
데이터
ANALYSIS
분석
INSIGHTS
통찰력
DECISIONS
의사 결정

Keynote 2: 엔지니어링 효율성 개선

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Keynote 2: 엔지니어링 효율성 개선