Post on 16-Apr-2017
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Please note
IBM’s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice at IBM’s sole discretion.
Information regarding potential future products is intended to outline our general product direction and it should not be relied on in making a purchasing decision.
The information mentioned regarding potential future products is not a commitment, promise, or legal obligation to deliver any material, code or functionality. Information about potential future products may not be incorporated into any contract. The development, release, and timing of any future features or functionality described for our products remains at our sole discretion.
Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience will vary depending upon many factors, including considerations such as the amount of multiprogramming in the user’s job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve results similar to those stated here.
IBM ANALYTICS PLATFORM
Discovery &
Exploration
Prescriptive
Analytics Streaming
Analytics
Business Intelligence & Predictive Analytics
Content
Analytics
Information Integration & Governance
Data
Management
Content
Management
Hadoop
System
Data
Warehousing
The IBM analytics platform
Breadth & depth
of analytics
Data integration
& governance Hybrid & fluid
architecture
Open & unified
platform
Create a new data
foundation for the
business
Prepare data
for analytics
Predict the future
for the business
Align data management
strategy with customer
expectations
Delight customers
by understanding
them better
Derive business value
from unstructured
content
Watson Analytics Value Proposition
1. Advanced Analytic tool available now!
2. Competitive Differentiator thru
(1) Data Refinement (2) Data Exploration
(3) Predictive Analysis and (4) Infographic Dashboards
3. Works with data from multiple products including: Maximo, Industry Solutions, RTI and more!
4. Customer usage accelerated thru – Cloud Based Platform – Complex, individual models not required – Subscription Pricing – Ease of Use. Statistician Skill Set not required.
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Watson Prediction uses historical data analysis to identify Relationship between Asset Downtime and Sensor values
Global Manufacturing example
Maximo/RTI and Watson Analytics: Asset Downtime Use Case
Integration between Watson and Maximo/RTI:
• Export data from Maximo/RTI to csv file. Import to Watson Analytics.
• Relationship between asset and sensors established
Net benefits: • Unexpected influencers of downtime identified in minimal amount of time • Corrective actions prioritizing sensor value (Alerts, PMs, Material Sourcing) can be
taken to reduce downtime and maintenance costs and improve production schedules
Highest downtime areas darkened
Predictors of Downtime Analyzed..Critical Sensor Value Identified
Additional Influencers identified : Asset Age and Sensor Dates
Next Steps
1. Build out library of demo .csv files
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ASSET
SENSOR
WORKORDER
FAILUREREPORTING
65K records
ASSETSTATUS
ASSET
Trends of Downtime, Failures Problem, Cause, Remedy
???
2. Investigate development of product offering
Data: Quality
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Grades data based on completeness, balanced values, and outliers -Red/Yellow/Green coding focuses user on non-performing data
Identifies fields with > 25% missing values Identified fields with data imbalances
Data: Refinement
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Provides tools to review and refine each attribute’s quality
Individual grades
Higher Grades -> Improved Exploration and Analytic Capability
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Exploration
Build understanding of data
Save Explorations as ‘Collections’ for future use in Data Assemblies
Highest Downtime Countries in dark colors
Total Downtime by Country
Number of Assets by City
Shenzen has highest downtime. Detroit has 2nd highest downtime with small number of assets)
19 19 19
Please note
IBM’s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice at IBM’s sole discretion.
Information regarding potential future products is intended to outline our general product direction and it should not be relied on in making a purchasing decision.
The information mentioned regarding potential future products is not a commitment, promise, or legal obligation to deliver any material, code or functionality. Information about potential future products may not be incorporated into any contract. The development, release, and timing of any future features or functionality described for our products remains at our sole discretion.
Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience will vary depending upon many factors, including considerations such as the amount of multiprogramming in the user’s job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve results similar to those stated here.