Measure productivity in production quality big data without incentivising the wrong behaviour.
Building Big Data Analysis Platforms for Production Quality
Develop the judgement and the documentation needed to run production quality big data properly.
📍 Cairo🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
Most defects in production quality big data are designed in long before they are detected. Inspection catches problems in big data; it does not prevent them. The content is relevant to those who own this strand of quality and productivity management and to those who are held accountable for its results. The most reliable predictor of sound production quality big data is whether anyone reviews it when nothing has gone wrong. The course sets out a working method for this part of quality and productivity management that participants can apply the week they return. Exercises escalate in difficulty, ending with the ambiguous situations that make big data hard in practice. The difficulty is not agreeing that production quality big data matters — it is deciding what to stop doing to make room for it. Participants gain a clear basis for measuring what big data has actually achieved. Participants finish with a short, specific brief on this area of quality and productivity management ready to put in front of a decision maker.
Expected Learning Outcomes
Set acceptance criteria and sampling for big data on statistical grounds.
Set a realistic target state for production quality big data and a defensible route to it.
Calculate the cost of poor quality attributable to big data.
Establish escalation routes for production quality big data that work outside normal hours.
Build capability in root cause analysis across the team handling big data.
Build a concise control plan for production quality big data that colleagues can follow without further explanation.
Who Should Attend
Quality staff verifying that production quality big data performs as designed.
Health, safety and environmental staff whose systems integrate with big data.
Process and industrial engineers redesigning production quality big data.
Managers with direct responsibility for big data within the operating process.
Internal auditors examining production quality big data.
Continuous improvement specialists working on big data.
Course Modules
Production quality big data: standard work and sustaining gains
2 sessions · 8 pointsSession 1Solving the defect in production quality big data that keeps returning
- Record the rationale for each significant choice made about production quality big data.
- Check that records of big data answer the questions likely to be asked.
- Choose productivity measures for production quality big data that do not reward shortcuts.
- Define supplier quality requirements affecting inputs to big data.
Session 2Testing big data before relying on it
- Set sampling for production quality big data on statistical grounds, not on habit.
- Record what was learned when big data did not go as planned.
- Assemble certification evidence for production quality big data as work proceeds, not before the audit.
- Identify non-value-adding steps in big data and remove them.
Big data: defining quality in measurable terms
2 sessions · 8 pointsSession 1Mapping big data as it is done, not as it is written
- Reduce the variation in how production quality big data is carried out between teams.
- Build a control plan for big data identifying what is checked, when and by whom.
- Calculate the cost of poor quality attributable to production quality big data.
- Rank the weaknesses in big data by consequence rather than by ease of fixing.
Session 2Where big data typically breaks, and why
- Record what was tried on production quality big data and did not work, and why.
- Benchmark big data against a comparable operation and record the gap.
- Define quality for production quality big data in terms the customer would recognise.
- Set the review interval for big data and who attends.
Big data: variation, capability and control
2 sessions · 8 pointsSession 1Sampling big data on evidence rather than convention
- Prepare the response for the most likely failure in production quality big data.
- Remove steps in big data that add effort without adding assurance.
- Check that production quality big data still works when volumes rise unexpectedly.
- Map the process behind big data by walking it, not by describing it.
Session 2Agreeing what good actually means for production quality big data
- Test the procedure for production quality big data against a realistic scenario.
- Set the review cadence that sustains gains in big data.
- Draft the minimum viable control plan for production quality big data.
- Design the internal audit schedule covering big data.
Big data: internal audit and certification evidence
2 sessions · 8 pointsSession 1Building lasting competence in big data
- Confirm that those complying with production quality big data understand why it exists.
- Compare the cost of big data with the cost of its absence.
- Agree what will be standardised in production quality big data and what will not.
- Identify the data already collected that bears on big data.
Session 2Sustaining the gain on big data after the project ends
- Verify that improvements to production quality big data held six months later.
- Measure current variation in big data before attempting improvement.
- Benchmark the organisation's production quality big data against comparable operations.
- Train the team handling big data in the problem-solving method being used.
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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