The transformation industry is living a new phase: The Digital Transformation. Here I show an overview of what new technologies, as Internet of Things and Advanced Analytics will enable on industries.

1. Develop your
business with
Connected
devices
and Analytics
http://peralles.me

2. What IoT transformation will
enable on Industry?

3. For Workers
The enabling to do more than
actually do with safety and precision

4. For Companies
The enabling to fast adapt to the
market and increase margins by
innovation in:
Efficiency
Productivity and Quality
Safety
Sustainability

5. Industry 4.0
Welcome to the age of Industrial Internet
The Germany's vision:
The revolution will be digitised

6. "... We must - and I say this as the
German chancellor in the face of
a strong Germany economy - deal
quickly with the fusion of the
online world and the world of
industrial production.
In Germany, we call it
Industrie 4.0 ..."

7. Definition of Industry 4.0
Industry 4.0 Environment

8. Driven
disruptions

9. Driven disruptions
1 - Astonishing rise in data volumes (big data)
2 - Computational power (cloud computing)
3 - Connectivity (specially low-power in wide-area networks)
4 - Emergence of analytics and business-intelligence capabilities:
- new forms of human-machine interaction such as touch
interfaces and augmented-reality systems;
- improvements in transferring digital instructions to the
physical world, such as advanced robotics and 3-D printing.

10. Digitalcompass

11. Technology Exploration
Studying applicability of digital thinking with Internet of Things
Office Experience - Analytics
Office Resources Optimization
Do you know the "no show" rate in your
company's meetings rooms?
In CI&T the rate is about 40%!
Stop and think about the cost of it!
Space's resources available with no use?
Or maybe worst, employees walking for
minutes looking for a meeting room?

12. Technology Exploration
Studying applicability of advanced analytics with Internet of Things in Industry
Production Data - Chain of Algorithms
Preventive Maintenance
Minimize Non-Productive Time (NPT) by
monitoring equipment or product utilization
in a live environment to identify patterns that
indicate imminent failure. For revenue-
generating operations equipment, downtime
results in significant lost revenue as well as
costly repairs.

13. Technology Exploration
Studying applicability of advanced analytics with Internet of Things in Industry
Sensors Based - Analytics
Assembly Line Quality Assurance
Take measurements of work-in-progress
products to find manufacturing defects as
early as possible, while also identifying any
potential process or design flaws. Since
defects are typically the result of many
factors, analyzing long histories of assembly
line sensor data can find subtle anomalies
that signify product flaws.

14. Technology Exploration
Studying applicability of advanced analytics with Internet of Things in Industry
Sensors Based - Data
Smart Warehousing
Real-time visibility: without real-time visibility,
the operating is in the dark, relying on your
best guess rather than actual information to
optimize performance.
Inventory accuracy: Manual data collection
spells inventory disorder. Too many
warehouse operators spend a
disproportionate amount of time chasing lost
or misplaced pallets as a result of data entry
errors.

15. Business Team
IoT Team
Technology Exploration
Technical Viability: Explore and prove the concept by Design Thinking
Digital Strategist
2-4 Weeks of Work

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