It’s Not Enough to Just Collect Data
 

It’s Not Enough to Just Collect Data

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Telematics data provides a wealth of new, actionable insights, particularly when integrated with other enterprise data. But where do you start? How do you prioritize? What is the roadmap? In an ...

Telematics data provides a wealth of new, actionable insights, particularly when integrated with other enterprise data. But where do you start? How do you prioritize? What is the roadmap? In an interactive workshop learn how to derive more from data so you can do more in your business.

- Find the value of integrating telematics data with traditional data elements, including financial, customer, manufacturing, location and weather data
- How integrated telematics data can improve customer satisfaction, lifecycle management, warranty reserves, supply chain performance, and even engineering & design choices
- Gain practical examples from top manufacturers to improve operational efficiencies, develop new revenue streams, create customer insights, and better understand product performance

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It’s Not Enough to Just Collect Data It’s Not Enough to Just Collect Data Presentation Transcript

  • 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