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EMPOWER YOUR ANALYTICS WITH OPERATIONAL DATA

2019 OSISOFT NEW DELHI SEMINAR

Praveen Jadhav, Country Manager

16th October 2019

The PI System:

Empowering People to do Successful Analytics

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Our Vision: Data Infrastructure from Sensors to Community

Sensors

Millions of

Smart Devices

Community

Multiple

Enterprises

Enterprise

Multiple

Plants

Plant

Multiple

Assets

Assets

Multiple

Sensors

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Assets

Multiple

Sensors

Plant

Multiple

Assets

Enterprise

Multiple

Plants

Community

Multiple

Enterprises

Sensors

Millions of

Smart Devices

Critical Operations

3

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The Enterprise Role of the PI System

4

OPERATIONS BUSINESS

SPECIALIZED APPLICATIONS Business Intelligence Advanced Analytics (AI/ML)

Remote and

mobile assets

PI VISION

Automation and

control systems

IIOT gateways

and sensors

Data warehouses,

data lakes

CMMS ERP Financial

Data

NON REAL-TIME DATA

BUSINESS SYSTEMS

THE PI SYSTEM

REAL-TIME OPERATIONS DATA

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1

2

4

5

Consolidate

Operations Data

Create Real-time

Dashboards

Layer Specialized

Applications

Integrate OT

Data to

Enterprise

Validate &

Operationalize

Insights

1

2

3

4

5

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Translating the Megatrends for Critical Operations

5

Operations

data scope is

increasing

Data

platforms & scale

are changing

Data consumers

are changing

AIIoTCloud

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When it comes to preparing data …

… there are so many versions of the “truth”!

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Industrial Operations have

new and very old

equipment with

varying types of measurements…

… using code or manual processes

to connect and normalize

across equipment models

adds to data preparation time

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Engineers and Operators will

question the validity of a

machine learning algorithm

that looks like a “black box”

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Primary Network Plant,

Control & SCADA systems

Secondary Network

IoT

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Primary Network

Secondary Network

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AI

Data

Scientists

Operations IT

Insights

Expertise

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Insights

Operations

Expertise

AI

IT

Data

Scientists

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Time-series Data Is Not Naturally Aligned

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… remember this when you combine time-series data with business data!

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Where do I start?

or

Where are the quick wins?

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Small Projects Propel Success for a Large Project

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Must-have project characteristics

• Subject matter expert included

• Sufficient business value

• Related to a larger initiative

RO

I

time

3y

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Takeaways

Start with small data to de-risk analytics projects

Leverage initial success as foundation for next project

Include SMEs to increase chance of success & adoption

Set goal as a business outcome that’s significant enough

PI System offers many ways to accelerates analytics projects

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People with data can transform our World

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