Calculate the cost of poor quality attributable to automated indicator data collection.
Building Systems to Automate Real-Time Performance Indicator Data Collection
A working programme in automated indicator data collection for managers who have to deliver with existing resources.
📍 Istanbul🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
Most defects in automated indicator data collection are designed in long before they are detected. Improvement in data collection that is not measured tends to be reversed quietly. Where this strand of quality and productivity management is measured, it improves; where it is only discussed, it drifts. Cases are chosen to expose the trade-offs in automated indicator data collection rather than to illustrate ideal conditions. The material serves both public bodies and commercial organisations dealing with this aspect of quality and productivity management. The programme takes participants through data collection end to end, from framing the problem to closing it out. Participants take away a working set of documents supporting automated indicator data collection, ready to be adapted internally. Progress on data collection is usually lost in the gap between approval and execution. The final session converts the week's work on the practice within quality and productivity management into commitments with owners and dates.
Expected Learning Outcomes
Estimate what data collection costs to run properly, and what is lost when it is not.
Establish supplier quality requirements affecting automated indicator data collection.
Set acceptance criteria and sampling for data collection on statistical grounds.
Reduce avoidable variation in how automated indicator data collection is carried out across teams.
Build the internal capability for data collection rather than depending on external support indefinitely.
Design the internal audit programme covering automated indicator data collection.
Who Should Attend
Managers of multi-site operations seeking consistency in automated indicator data collection.
Inspection and testing staff verifying data collection.
Department managers accountable for productivity of automated indicator data collection.
Public sector officials applying data collection within a regulated framework.
Supplier quality engineers assessing inputs to automated indicator data collection.
Training officers building problem-solving capability in data collection.
Course Modules
Automated indicator data collection: standard work and sustaining gains
2 sessions · 8 pointsSession 1Making automated indicator data collection work when resources are constrained
- Establish what evidence demonstrates automated indicator data collection is under control.
- Calculate the cost of poor quality attributable to data collection.
- Build a control plan for automated indicator data collection identifying what is checked, when and by whom.
- Assemble certification evidence for data collection as work proceeds, not before the audit.
Session 2Reviewing data collection when nothing has gone wrong
- Identify where judgement in automated indicator data collection is legitimate and where it is not.
- Map the handovers in data collection between functions and secure them.
- Review whether automated indicator data collection is aligned with the objectives of the operating process.
- Set sampling for data collection on statistical grounds, not on habit.
Data collection: control plans, sampling and acceptance
2 sessions · 8 pointsSession 1Agreeing what good actually means for data collection
- Design the internal audit schedule covering automated indicator data collection.
- Set the review cadence that sustains gains in data collection.
- Distinguish symptoms from causes when automated indicator data collection underperforms.
- Identify the few causes responsible for most defects in data collection.
Session 2Solving the defect in data collection that keeps returning
- Identify non-value-adding steps in automated indicator data collection and remove them.
- Remove steps in data collection that add effort without adding assurance.
- Choose productivity measures for automated indicator data collection that do not reward shortcuts.
- Write down the assumptions underpinning the approach to data collection.
Data collection: waste, flow and productivity
2 sessions · 8 pointsSession 1Removing steps from data collection that add no value
- Identify the data already collected that bears on automated indicator data collection.
- Rehearse the briefing on data collection that would follow an incident.
- Define supplier quality requirements affecting inputs to automated indicator data collection.
- Verify six months later that changes to data collection have held.
Session 2Benchmarking automated indicator data collection without flattering yourself
- Write standard work for automated indicator data collection with the people who perform it.
- Set the review interval for data collection and who attends.
- Benchmark automated indicator data collection against a comparable operation and record the gap.
- Define quality for data collection in terms the customer would recognise.
Data collection: variation, capability and control
2 sessions · 8 pointsSession 1Comparing data collection with recognised practice
- Measure current variation in automated indicator data collection before attempting improvement.
- Train the team handling data collection in the problem-solving method being used.
- Reduce the variation in how automated indicator data collection is carried out between teams.
- Record what was learned when data collection did not go as planned.
Session 2Costing poor quality in data collection
- Agree the indicators that will show whether automated indicator data collection is improving.
- Verify that improvements to data collection held six months later.
- Build the competence framework that supports automated indicator data collection.
- Test the procedure for data collection against a realistic scenario.
Choose the package that suits you
Silver Package
At least 3 people
USD1,250
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Gold Package
At least 3 people
USD1,850
- 5-night stay in a 5-star hotel
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Complete your registration
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