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Data Quality

Data Quality. Improving motivation to improve data quality. We need data…. Reduce costs by eliminating unplanned failures Optimise inspection intervals for critical equipment Reduce process variability Improve repair shop processes Provide targets for metrics.

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Data Quality

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Presentation Transcript

  1. Data Quality Improving motivation to improve data quality

  2. We need data… Reduce costs by eliminating unplanned failures Optimise inspection intervals for critical equipment Reduce process variability Improve repair shop processes Provide targets for metrics Reliability Growth Work with manufacturers to improve design Optimise system reliability and minimise LCC at design Replace at the optimum time Benchmarking Add reliability & energy efficiency clauses into purchase contracts

  3. The “soft” bit in the middle…

  4. SOLUTION…? Increase importance to punishments Don’t understand the process More communication about the process Show importance to company Don’t understand why it’s important Show importance to coworkers Increase importance to rewards Set aside specific time after each job for data collection Too many other things to do Don’t understand how to do it More training on how to fill in the forms WHAT SHOULD YOU DO?

  5. How to work out the best solution?

  6. Goal Hierarchy

  7. A Basic Hierarchy Strength of connection related to: Helpfulness in achieving higher-order goal Feasibility of accomplishment Accountability

  8. When “Home” is Salient

  9. When “Work” is Salient

  10. How Does This Help DQ? • What are the identities that people hold? • Which are most important? • Can we link ‘collecting data’ to that which is most important? • E.g., no point in linking to “being a good employee” if that isn’t important to them • What is the feasibility of data quality? • Interventions designed around the identities and personal projects that are most common across the group

  11. What Will We Do? • Elicit people’s goal hierarchy • Statistically link with DQ ratings to check validity of theory • Controlling for other factors such as personality, team characteristics etc • Identify common identities or projects • Design intervention based on those

  12. What do you think? • Does this strike a chord with you? • Any factors you can think of that don’t fit this model? • Any reservations?

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