Why manufacturing leadership and operations are adopting a data-first approach instead of chasing digital transformation. Cam Bergen, CEO of Mode40, and Roger Woehl, CTO of SafetyChain, explain.

1. Beyond Compliance
Webinar & Podcast Series for Food, Beverage, & CPG Manufacturers
Understanding the Data
Renaissance in Manufacturing
Why leadership and operations are
adopting a data-first approach instead of
chasing digital transformation.

2. //
Helpful tips
✔Informal, conversational approach
✔Ask Questions (Q&A at end)
✔Only panelists are displayed/heard
✔Recording link will be shared
✔Slides will also be shared
✔Audio issues? Use call-in number
Housekeeping

3. // About SafetyChain
✔Improve Yield
✔Maximize Productivity
✔Ensure Compliance
Plant Management Platform

4. // About Mode40 IoT
25+ years in IT management and operations,
Mode40 bridges the gap between traditional
IT and the plant floor in ag based
operations.
Smart Manufacturing and IOT Solutions
✔Vision based Artificial Intelligence
✔Data collection: temp, humidity, amp,
vibration, & more
✔Bridging IT & OT
✔Data Integrations
✔Network Architecture
✔Monitoring & Alerts 24/7

5. About the Presenters
BEYOND COMPLIANCE
Roger Woehl
CTO, SafetyChain
Cameron Bergen
CEO, Mode 40

6. BEYOND COMPLIANCE
A Familiar Situation
Just 30% of Digital
Transformation
Initiatives are
Successful

7. BEYOND COMPLIANCE
Data is Driving Industry 4.0 - the Renaissance

8. BEYOND COMPLIANCE
Data First vs Digital Transformation
Digital
Transformation
Data
First
Digital transformation is the
process of moving business
from paper to a digital
format
Data first is a methodology to
prioritize data to drive
business efficiency and
profitability

9. BEYOND COMPLIANCE
Data Driven Problem Solving
Data First: A data driven approach to problem solving.
The goal is to replace speculation, hunches and opinions, with facts
based obtained through reliable data.
Data First: Sets the goals and priorities for a Digital Transformation to
ensure it achieves to goal of making the business more efficient and
profitable.

10. Pitfalls of
Digital Transformation

11. BEYOND COMPLIANCE
Transforming Digital Transformation
Digital Transformation … the basics
• How do we collect data? Where? Who?
• Where will we store it?
• How will stakeholders access it?
• How will we share and use it?
• How will we action it?

12. BEYOND COMPLIANCE
Pitfalls of Digital Transformation
1. Data without a clear propose does not create
business value.
2. Digital Transformation can add complexity that must
be justified by a desired outcome.
3. Data Automation alone may not tell the full story if
not combined with human data.
4. Collecting the data is just the start, not the end.
Analytics and future use is where value exists.

13. The Data-First
Approach

14. BEYOND COMPLIANCE
How to Think Data First
Ask these Tier 1 questions
What problem am I
trying to ultimately
solve?
What data will help
me to understand
that problem?
What are the best
sources of
information?

15. BEYOND COMPLIANCE
The First Problem to Solve
Often the first problem is to
discover the real problem(s)
Starting with data driven tools that
identify the problems that exist
Methodologies like OEE or SPC will
help uncover the problems you
didn't know you had

16. BEYOND COMPLIANCE
How to Think Data First
Where to start looking
How does data
compare between
locations, lines
How does data
compare between
operators or
shifts?
How does the data
point correlate to
the outcomes
Discrepancies are an opportunity to ask “why.” Why is line
one better than line2, or shift 2 better than shift 1?
TIP

17. BEYOND COMPLIANCE
What You’ll Learn
Unlocks ROI measurement
• Gaps in data collection or
management
• Benchmarking
• Root issues to performance
variability
• Prioritized list of things that can
be improved

18. BEYOND COMPLIANCE
Two Data Types Produced in All Processes
Machines are only one part of the
complete data picture
• Machine
• Human
• Combined Analytics

19. Audience Poll

20. Why This Approach?

21. BEYOND COMPLIANCE
Data is the New Oil
Think Like a CFO
• True cost of quality
• Think of data that pays off at a later
date - like an investment
• Data as an asset (or liability)
• Pair equipment purchases with w/
software

22. BEYOND COMPLIANCE
Investing Strategically in Your Data’s Future

23. BEYOND COMPLIANCE
Playing the long game
Play the long game
• Unlocks door to AI, IoT, ML tomorrow
• Examples of using data as a rich source
competitiveness
• FOMO: tomorrow it’s going to be business
essential
• Where to start?
• Toyota example: this is the future of all
process manufacturing

24. The Data First
Culture

25. BEYOND COMPLIANCE
Data-first adoption starts at the top
Leaders will need to model this thinking
• Data-first it best when driven from the top down.
• Leadership can drive this by support those with the numbers.
• Data-first empowers those with numbers.

26. BEYOND COMPLIANCE
Data First Needs Buy In
Share The Vision
• The data will drive our decisions.
• We are collecting the right data to answer our
questions
• Early agreement avoids later challenges to the
validity of the results.
• Expect friction

27. BEYOND COMPLIANCE
Celebrate Surprise
If your Data does not surprise you, you may be doing it wrong
• Be ready for data to challenge your conventional wisdom.
• “...because we have always done it this way” - your data may not
agree
• Data may just prove something you have always suspected but
could never be sure about.

28. BEYOND COMPLIANCE
Be Data Consumers
Data is not just for the Analysts.
• Real insights rarely fit neatly on one page
• Be ready to interact with the data firsthand
• Ask questions about data
• Exporting the numbers on an interactive
application
• Data is for everyone, from the folks on the line
to C-Suite
Today, everyone
with a smartphone
is a power user of
analytics

29. 300 Motors

30. Q&A
BEYOND COMPLIANCE

31. More Resources at www.safetychain.com
White Papers & Surveys
Webinars & Videos
Product & Partner Info
Solution Consultation
Bonus edition of Beyond Compliance Next Week! For more details and
to register to attend, visit safetychain.com/resources/webinars