Overview of IBM’s Predictive Maintenance and Quality (PMQ) solution. View the webinar video recording and download this deck: http://www.senturus.com/resources/science-predictive-maintenance/. We show you the PMQ solution can keep manufacturing processes, infrastructure and field equipment running to maximize use and performance, while minimizing costs. We show how you can use powerful analytics and data integration to help: Anticipate asset maintenance and product quality problems, Reduce unscheduled asset downtime, Spend less time solving production machinery and field asset problems, Improve asset productivity and process quality, Monitor how assets are performing in real-time and predict what will happen next. Senturus, a business analytics consulting firm, has a resource library with hundreds of free recorded webinars, trainings, demos and unbiased product reviews. Take a look and share them with your colleagues and friends: http://www.senturus.com/resources/.

1. Overview
IBM PREDICTIVEMAINTENANCEANDQUALITY

2. questions
here
Copyright2014Senturus,Inc.
AllRightsReserved
This slide deck is part of a recorded webinar. To view the FREE recording of the entire presentation and download the slide deck go to
www.senturus.com/resources/science-predictive- maintenance/
Hear the Recording

3. Resource Library
Senturus’ whole purpose is to make you successful with Business Analytics. Thus, we offer a series of technology-neutral webinars, training on specific software, demonstrations, and no-holds-barred reviews of new software releases. We host dozens of live webinars every year and we offer a comprehensive library of recorded webinars, demos, white papers, presentations and case studies on our website--a wealth of learning resources. Most of our content is custom created and constantly updated, so visit us often to see what’s new in the industry.
www.senturus.com/resources/
3
Copyright 2014 Senturus, Inc. All Rights Reserved

4. •Introductions
•Why this topic?
•Predictive Maintenance and Quality (PMQ) Overview
•Customer Examples
•PMQ Architecture Overview
•Q & A
Today’s Agenda
4
Copyright 2014 Senturus, Inc. All Rights Reserved

5. •Architectures and Data Transformation
•Tools and Solutions
•Methodologies and Techniques
•People and Processes
Senturus Webinar Series Topics
5
Copyright 2014 Senturus, Inc. All Rights Reserved.
Our Approach:
Our webinars are delivered by Senturus team members and industry experts (guest speakers)
Chapters in the BA Demystified Series

6. •Architectures and Data Transformation
•Tools and Solutions
•Predictive Analytics applied to Maintenance & Quality
•Methodologies and Techniques
•People and Processes
Today’s Webinar6
Copyright 2014 Senturus, Inc. All Rights Reserved.
Our Approach:
Our webinars are delivered by Senturus team members and industry experts (guest speakers)
Chapters in the BA Demystified Series

7. John Peterson
CEO, Senturus
Anuj Marfatia
IBM Program Director,
Solutions Marketing
Today’s Presenters

8. Who we are
SENTURUSINTRODUCTION

9. questions
here
Copyright 2014Senturus,Inc.
AllRightsReserved
HEARTHERECORDING
This slide deck is part of a recorded webinar. To view the FREE recording of the entire presentation and download the slide deck go to
www.senturus.com/resources/science-predictive- maintenance/
Senturus’ comprehensive library of recorded webinars, demos, white papers, presentations and case studies is available on our website.
www.senturus.com

10. Senturus: Business Analytics Consultants
Business
Intelligence
Enterprise
Planning
Predictive
Analytics
Our Team:
Business depth combined with technical expertise. Former CFOs, CIOs, Controllers, Directors
Copyright 2014 Senturus, Inc. All Rights Reserved.

11. 700+ Clients, 1400 Projects, 13 Years
11
Copyright 2014 Senturus, Inc. All Rights Reserved

12. •Senturus has been a IBM Cognos “Premier” Partner for 12 years
•Senturushas won a number of IBM and Cognos awardsover those years
•Senturus sits on the boardof the Cognos User Group of Northern California
•A number of Senturus consultants are former IBM Cognosemployees
•IBM Cognos professional services has often staffed their consulting engagements with Senturus people
•We have delivered over 1,000 successfulprojects using IBM technologies
The Senturus IBM Cognos Relationship

13. Why now?
PREDICTIVEANALYTICS

14. The Evolution of Business Analytics
Operational Reports
Dashboards & Scorecards
SQL Reports
OLAP & Ad-hoc
Forward LookingIntegrated Planning & Forecasting
Advanced Visualization
Predictive Analytics
Rear View MirrorPresent
Future
Past

15. Today’s Situation
•Organizations have spent over a Trilliondollars on operational systems (ERP, CRM, etc.) which contain massive amounts of valuable digital data
•Organizations have spent Billionsof dollars on Business Intelligence systems and data marts/warehouses
•New IP-based devices are throwing off Billionsof records (“data exhaust”) daily
•I.E. –The Data Is There!
Why the time is ripe

16. Today’s Situation (cont.)
•Moore’s law has driven massive increasesin computing power, storage space, and network bandwidth.
•…while reducing cost
•Thus, driving esoteric applications into the mainstream.
•I.E. The Power and Software is There!
Why the time is ripe

17. Today’s Situation (cont.)
•BUT, most BI systems still simply pump out canned reports showing pastactivity
•AND, expect humans to sift through it all in order to make impactful business decisions and take appropriate action for the future
We can do so much more…

18. Shifting from Reactive to Proactive
PREDICTIVEMAINTENANCEANDQUALITY

19. questions
here
Copyright 2014Senturus,Inc.
AllRightsReserved
HEARTHERECORDING
This slide deck is part of a recorded webinar. To view the FREE recording of the entire presentation and download the slide deck go to
www.senturus.com/resources/science-predictive- maintenance/
Senturus’ comprehensive library of recorded webinars, demos, white papers, presentations and case studies is available on our website.
www.senturus.com

20. Poor asset
performance
• Lack of visibility into
asset health
• High costs of
unscheduled
maintenance
• Inability to accurately
forecast asset
downtime and costs
• Resultant
unnecessary process
proliferation
• Aging assets pushed
to limits to meet
consumer needs
Limited process
integration
• Lack of visibility of
predictors across
organizational silos
• Difficulty
synchronizing
demand and supply
• Too many manual
processes and
information sources
• Losses in processes
have become normal
• Resource complexity
makes it harder to
respond to changing
needs
Raw-material
price volatility
Compliance
and scrutiny
Aging
workforce
Complex
supply chains
Customer
demands
Lean
operations
Predictive and Business Intelligence Predictive Maintenance and Quality
Marketplace Forces are Amplifying day-to-day Issues

21. Number of sensors by 20151
Estimated price of average
passive sensor by 2021,
representing a 66 percent
decrease in eight years2
Percent of CIOs with mandates
to transform the business who
are looking to simplify key
internal processes4
#1 99%
Failure of critical assets was
the top risk stated by
executives as having the
biggest impact on operations3
1 trillion,
USD0.03
Interconnected growth,
lower data-capture cost
Focus on operational
processes
Risk of asset failure
1Making Markets:Smarter Planet. IBM Investor Briefing, 2012
2 Big Data-Startups, “The Great Sensor-Era: Brontobytes Will Change Society,” April 16, 2013.
3 Aberdeen Group, Asset Management: Using Analytics to Drive Predictive Maintenance, March 19, 2013.
4 IBM, The Essential CIO: Insights from the Global Chief Information Officer Study, May 2011.
Predictive and Business Intelligence Predictive Maintenance and Quality
Opportunities Exist to Improve the Bottom Line

22. IBM Predictive Maintenance and Quality
Accelerate time to value
• Real-time capabilities
• Big data, predictive and
advanced analytics
• Quicker and more-accurate
decision making
• IBM Maximo® integration
• Open architecture
• Business intelligence
Improve
asset productivity
Increase
process efficiency
Reduce
Operational
costs
Predictive and Business Intelligence Predictive Maintenance and Quality

23. • Helps monitor, maintain and optimize
assets for better availability, utilization
and performance
• Helps predict asset failure to better
optimize quality and supply chain
processes
• Reduces guesswork during the
decision-making process
PMQ Enables Better Business Outcomes
Combined with out-of-the-box models,
dashboards, reports and source connectors
Predictive and Business Intelligence Predictive Maintenance and Quality

24. PMQ offers business value for organizations
BUSINESS USE CASES BUSINESS VALUE
Predict asset failure
• Assess failure based on usage
and wear characteristics
• Use individual-component information,
environmental information or both
• Help identify conditions that can lead to
high failure
Predict poor quality parts/components
• Help detect anomalies within processes
• Compare parts against a master
• Conduct in-depth, root-cause analysis
Estimate and extend component life
Increase return on assets
Improve maintenance, inventory and
resource schedules
Improve quality and reduce recalls
Reduce time to identify issues
Improve customer service
Predictive and Business Intelligence Predictive Maintenance and Quality

25. Israel Electric Increases Grid Reliability
20% cost reduction
by avoiding the expensive
process of reinitiating a power
station after an outage
USD80,000 savings
per turbine on petrol combustion
costs by avoiding malfunctions of
turbine components
Increased
efficiency
of preventive maintenance
schedules, costs and resources,
resulting in fewer outages and
higher customer satisfaction
Business problem: The company’s research institute is charged with
improving the safety and reliability of power generation and transmission
while fueling innovation. That includes planning for disruptive events such
as solar storms, making improvements in transmission efficiency,
incorporating new sources of renewable energy into the grid and
analyzing growing volumes of data from an increasingly smart grid.
Solution: This energy provider uses powerful predictive analysis to
understand when and why outages occur so it can take steps to prevent
them.
Predictive and Business Intelligence Predictive Maintenance and Quality

26. Honda R&D Co., Ltd Uses Predictive Analytics
50% reduction
in carbon dioxide emissions by
commercializing EV technology
Business challenge: Because all-electric vehicles (EVs) do not use gasoline
as do traditional or hybrid cars, they rely entirely on their batteries for power.
Honda R&D Co., Ltd., a division of Honda Motor Co., Ltd., wanted to better
understand what factors had the greatest effect on battery performance and
longevity.
The smarter solution: Honda R&D can now gather and analyze near-real-time
battery data from Fit EVs on the road in Japan and the United States. Analysis
can identify which operating factors, such as road conditions, charging patterns
and trip length, have the greatest effect on battery life. Further analysis can help
the automaker predict when batteries need to be replaced so it can alert owners
in advance.
“Data gathered from the real-world operation of our vehicles is critical to predict
the longevity of current batteries and greatly influences future product design.”
—Senior chief engineer, Automobile R&D Center
Boosts confidence
and customer satisfaction with
EVs by improving performance
Improves design
by analyzing massive amounts
of operating data
Predictive and Business Intelligence Predictive Maintenance and Quality

27. #1
Asset performance Process integration
Collect and
integrate data
Structured and
unstructured,
streaming and at rest
Generate predictive
and statistical models
Attain analytical
insights
Display alerts
and recommend
actions
Act upon insights
#2 #3
#4
#5
Predictive
Maintenance
and Quality
• Data agnostic
• User-friendly model creation
• Interactive dashboards
• Enables faster decisions
PMQ Analyzes Data from Multiple Sources
Predictive and Business Intelligence Predictive Maintenance and Quality

28. PMQ uses data from raw format to action
Telematics,
manufacturing execution
systems, existing
databases, distributed
control systems
High-volume
streaming data
Enterprise asset
management systems
IBM Predictive Maintenance and Quality
End user reports,
dashboards, drill
downs
Predictive and Business Intelligence Predictive Maintenance and Quality

29. questions
here
Copyright 2014Senturus,Inc.
AllRightsReserved
HEARTHERECORDING
This slide deck is part of a recorded webinar. To view the FREE recording of the entire presentation and download the slide deck go to
www.senturus.com/resources/science-predictive- maintenance/
Senturus’ comprehensive library of recorded webinars, demos, white papers, presentations and case studies is available on our website.
www.senturus.com

30. With a proven architecture
• Advanced analytics
powered by IBM SPSS
and Cognos software
• Data integration
provided by IBM
Integration Bus and
IBM InfoSphere®
Master Data
Management
Collaborative Edition
software, which feeds a
prebuilt, data schema
based on IBM DB2®
software
• Process integration with
automatic work-order
generation from
Maximo software
• Data models, message
flows, reports,
dashboards, business
rules, adapters and key
performance indicators
Telematics,
manufacturing execution
systems, existing
databases, distributed
control systems
High-volume
streaming data
Enterprise asset
management systems
Predictive
analytics
Decision
management
Business
intelligence
Analytic data store
(Prebuilt data schema for storing quality, select machine and production data, and configuration)
Integration bus
(Prebuilt data schema for storing quality, select machine and production data, and configuration)
End user reports,
dashboards, drill
downs
Predictive and Business Intelligence Predictive Maintenance and Quality

31. Converges Asset Management & Analytics Capabilities
Analytical
insights
Asset
lifecycle
manage-ment
Facilities
operation
Staff
planning
Supply
chain
processes
• Better maintenance
windows to reduce
operating expense
• More efficient assignment
of labor resources
• Enhanced capital
forecasting plans
• Enhanced spare parts
inventory
• Automated analytical
techniques, including
anomaly detection for
assets and sensors
• Improved reliability and
uptime of assets
• Asset maintenance history
• Condition monitoring and
historical meter readings
• Inventory and purchasing
transactions
• Labor, craft, skills,
certifications and calendars
• Safety and regulatory
requirements
Enterprise asset
management
Predictive Maintenance
and Quality
+ = Better outcomes
Predictive and Business Intelligence Predictive Maintenance and Quality

32. Maximo integration
Real-time capabilities
Big data, predictive and
advanced analytics
Accelerated
time to value
Quicker, more accurate
decision making
Open architecture
Business intelligence
PMQ Key Features
Predictive and Business Intelligence Predictive Maintenance and Quality

33. Infrastructure
activities
• Program and project
management
• Setup and installation
• Hardware
• Software
• Specialists
• Hosting
Analytical
activities
• Solution impact
assessment
• Business case
development
• Use case definition
• Data integration
• Information modeling
• Predictive modeling
Specialized
skills
• Integration skills
• Business consulting
• Industry skills
• Maintenance experts
• Maximo specialists
• Industry expertise
• Scientists and
mathematicians
Prof. services Vendor software Vendor research
Vendor systems and technology
Client value
PMQ is a Comprehensive Solution
Predictive and Business Intelligence Predictive Maintenance and Quality

34. Business value
assessment
Align business
capabilities with
business strategy, and
recommend a road
map for improved
value.
Solution workshop
Lay out the path ahead,
from immediate
improvements to a
common future vision.
Proof of concept
Prove the path forward,
starting small and
scaling up.
1
Visioning workshop
Whether via web
seminar, at your facility
or in an IBM solution
center, we can begin
charting a course.
2
3
4
Let’s Get Started with Better Business Outcomes
Predictive and Business Intelligence Predictive Maintenance and Quality

35. Resources, Upcoming Events, Q&A
NEEDMOREINFO?

36. www.senturus.com
UPCOMINGEVENTS
36Copyright 2014 Senturus, Inc. All Rights Reserved

37. www.senturus.com
UPCOMINGTRAINING
37Copyright 2014Senturus, Inc. All Rights Reserved

38. questions
here
Copyright 2014Senturus,Inc.
AllRightsReserved
HEARTHERECORDING
This slide deck is part of a recorded webinar. To view the FREE recording of the entire presentation and download the slide deck go to
www.senturus.com/resources/science-predictive- maintenance/
Senturus’ comprehensive library of recorded webinars, demos, white papers, presentations and case studies is available on our website.
www.senturus.com

39. Thank
You!!
www.senturus.com
888-601-6010
info@senturus.com
Copyright2014bySenturus,Inc. ThisentirepresentationiscopyrightedandmaynotbereusedordistributedwithoutthewrittenconsentofSenturus,Inc.