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It’s Not Enough to Just Collect Data
2 5/30/2014 Teradata Confidential
Conversations Business and IT Leaders are Having
New types of data
present new
opportunities
Reduce complexity of
big data analytics
Empower existing
resources to generate
value from big data
Use next generation
analytics to discover
insight
Gain
unmatched
competitive
advantage
using Big
Data
3 5/30/2014 Teradata Confidential
Big Data: Traditional + New Data Types
Business Transactions
(orders, payroll,
purchases, trades)
Observations
(sensors, meters,
geolocation)
Source: IDC, Gartner
Interactions
(emails, “likes”,
tweets, weblogs)
+ +
4 5/30/2014 Teradata Confidential
Enterprise Analytical Architectures are evolving: why?
DISCOVERY PLATFORM
DATA WAREHOUSE
DATA
PLATFORM
The Data Mart Era The EDW Era The Logical Data Warehouse Era
”Just Give Me Any Old
Data – And Fast!” (Never
our advocated approach!)
“Centralise the data that
are widely re-used and
shared - but integrate all
of the data and the
analytics.”
“Give me integrated, high
quality data that enables
me to optimise end-to-
end business processes
cost-effectively.”
5 5/30/2014 Teradata Confidential
Discovery Platform Requirements
1
2
3
4
All Data
Multiple Analytic Methods
Diverse Enterprise Analysts
Rapid Exploration
6 5/30/2014 Teradata Confidential
Why
• Attain Zero unplanned downtime.
• Efficient service allocation – calls, parts &
common components, skills.
• Provide a feedback loop to engineering.
Impact
• Significant cost reductions.
• Improved machine up-time.
• Improved customer satisfaction.
Role of Sensor Data
• Improved analysis, faster algorithm
development using machine diagnostic data
and field service logs.
• Maximize customer satisfaction and machine
in-service time.
• Understand root cause of failures.
Art of the Possible – Predictive Failure Modeling
Remote Equipment
7 5/30/2014 Teradata Confidential
Why
• Understand if certain variants of vehicle
configurations have a higher occurrence of
repair codes, operation codes or Diagnostic
Trouble Codes (DTCs).
Impact
• Faster problem identification, leading to
improved dealer performance and increased
profitability and customer satisfaction.
• Reduce known failures & repairs required in
future configurations.
Role of Sensor Data
• Predict which configurations lead to more
repairs by finding common patterns in repair
sequences.
• Aid future design/build of configurations.
Art of the Possible – Vehicle Configuration Dependent Faults
Automotive OEM
8 5/30/2014 Teradata Confidential
A Car Company Powered by Data | Phase 1
Connected Car
Diagnostic Trouble
Code (DTC)
Control, Monitoring
and Diagnostics
Engine Control
Unit (ECU)
Dealer Scheduled
Service or Repair
Reference of all
Mechanical and
Electric Failures
Across all Models
over Time
Manufacturer
Context
400 Discrete
Measurements
such as fault thresholds, wear
factors, operating parameters
Design
Warranty
Quality
Manufacturing
9 5/30/2014 Teradata Confidential
A Car Company Powered by Data | Benefits
• Document Environmental Innovation
> Track actual fuel efficiency performance
against design objectives and investigate
causal variances
> Understand balanced use of engine braking
impact to recharge the battery without
overcharging
• Enable Regulatory Compliance
> TREAD Act reporting
• Cost Reductions
> 2/3 reduction in infrastructure costs with
data mart elimination and standardization
and simplification of the IT landscape
> Process improvements and accelerations
supported by a data-driven design culture
> Improved analytical performance, expanded
user access, accelerated problem response
• Quality and Functionality throughout the
Product Lifecycle
> Trace quality problems to the production
process
> Prioritize, target and expedite problem
response efforts
> Trace mechanical faults to their root
causes
> Model failure rates over time
> Correlate mechanical failures with
location-specific conditions
> Resolve quality issues within the current
production run
• Warranty Reimbursement Accuracy
> Identify sources of dealer data quality
issues, for example in warranty mileage
reporting
10 5/30/2014 Teradata Confidential
A Car Company Powered by Data | Lessons
It’s all about business value
• Win and keep management support with a strong business case
• Business value is always the highest priority
• IT cost savings are a bonus
It’s all about people
• Find the people with strong statistical and mathematical skills (6-Sigma)
• Insight into numbers leads to improvements
• Involve the business at the pilot stage to create ownership
It’s all about data
• An enterprise data model based on detailed data saves time and supports the
EDW
• Save all your data–new uses will arise
• Plan for capacity, demand WILL grow
11 5/30/2014 Teradata Confidential
Is Big Data Delivering Business Value Today?
1
2
3
Are the people in your organization able to directly ask
and get answers for the big data questions they want?
How much time does it take to answer a new business
question with big data?
Are you able to able to iterate and operationalize your
discoveries from big data analytics?
Need right technologies to realize business value of big data
12 5/30/2014 Teradata Confidential

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It’s Not Enough to Just Collect Data

  • 1. It’s Not Enough to Just Collect Data
  • 2. 2 5/30/2014 Teradata Confidential Conversations Business and IT Leaders are Having New types of data present new opportunities Reduce complexity of big data analytics Empower existing resources to generate value from big data Use next generation analytics to discover insight Gain unmatched competitive advantage using Big Data
  • 3. 3 5/30/2014 Teradata Confidential Big Data: Traditional + New Data Types Business Transactions (orders, payroll, purchases, trades) Observations (sensors, meters, geolocation) Source: IDC, Gartner Interactions (emails, “likes”, tweets, weblogs) + +
  • 4. 4 5/30/2014 Teradata Confidential Enterprise Analytical Architectures are evolving: why? DISCOVERY PLATFORM DATA WAREHOUSE DATA PLATFORM The Data Mart Era The EDW Era The Logical Data Warehouse Era ”Just Give Me Any Old Data – And Fast!” (Never our advocated approach!) “Centralise the data that are widely re-used and shared - but integrate all of the data and the analytics.” “Give me integrated, high quality data that enables me to optimise end-to- end business processes cost-effectively.”
  • 5. 5 5/30/2014 Teradata Confidential Discovery Platform Requirements 1 2 3 4 All Data Multiple Analytic Methods Diverse Enterprise Analysts Rapid Exploration
  • 6. 6 5/30/2014 Teradata Confidential Why • Attain Zero unplanned downtime. • Efficient service allocation – calls, parts & common components, skills. • Provide a feedback loop to engineering. Impact • Significant cost reductions. • Improved machine up-time. • Improved customer satisfaction. Role of Sensor Data • Improved analysis, faster algorithm development using machine diagnostic data and field service logs. • Maximize customer satisfaction and machine in-service time. • Understand root cause of failures. Art of the Possible – Predictive Failure Modeling Remote Equipment
  • 7. 7 5/30/2014 Teradata Confidential Why • Understand if certain variants of vehicle configurations have a higher occurrence of repair codes, operation codes or Diagnostic Trouble Codes (DTCs). Impact • Faster problem identification, leading to improved dealer performance and increased profitability and customer satisfaction. • Reduce known failures & repairs required in future configurations. Role of Sensor Data • Predict which configurations lead to more repairs by finding common patterns in repair sequences. • Aid future design/build of configurations. Art of the Possible – Vehicle Configuration Dependent Faults Automotive OEM
  • 8. 8 5/30/2014 Teradata Confidential A Car Company Powered by Data | Phase 1 Connected Car Diagnostic Trouble Code (DTC) Control, Monitoring and Diagnostics Engine Control Unit (ECU) Dealer Scheduled Service or Repair Reference of all Mechanical and Electric Failures Across all Models over Time Manufacturer Context 400 Discrete Measurements such as fault thresholds, wear factors, operating parameters Design Warranty Quality Manufacturing
  • 9. 9 5/30/2014 Teradata Confidential A Car Company Powered by Data | Benefits • Document Environmental Innovation > Track actual fuel efficiency performance against design objectives and investigate causal variances > Understand balanced use of engine braking impact to recharge the battery without overcharging • Enable Regulatory Compliance > TREAD Act reporting • Cost Reductions > 2/3 reduction in infrastructure costs with data mart elimination and standardization and simplification of the IT landscape > Process improvements and accelerations supported by a data-driven design culture > Improved analytical performance, expanded user access, accelerated problem response • Quality and Functionality throughout the Product Lifecycle > Trace quality problems to the production process > Prioritize, target and expedite problem response efforts > Trace mechanical faults to their root causes > Model failure rates over time > Correlate mechanical failures with location-specific conditions > Resolve quality issues within the current production run • Warranty Reimbursement Accuracy > Identify sources of dealer data quality issues, for example in warranty mileage reporting
  • 10. 10 5/30/2014 Teradata Confidential A Car Company Powered by Data | Lessons It’s all about business value • Win and keep management support with a strong business case • Business value is always the highest priority • IT cost savings are a bonus It’s all about people • Find the people with strong statistical and mathematical skills (6-Sigma) • Insight into numbers leads to improvements • Involve the business at the pilot stage to create ownership It’s all about data • An enterprise data model based on detailed data saves time and supports the EDW • Save all your data–new uses will arise • Plan for capacity, demand WILL grow
  • 11. 11 5/30/2014 Teradata Confidential Is Big Data Delivering Business Value Today? 1 2 3 Are the people in your organization able to directly ask and get answers for the big data questions they want? How much time does it take to answer a new business question with big data? Are you able to able to iterate and operationalize your discoveries from big data analytics? Need right technologies to realize business value of big data
  • 12. 12 5/30/2014 Teradata Confidential
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