Integrate industrial IoT analytics into existing management routines rather than running it separately.
Designing Industrial Internet of Things Data Analysis Systems
A structured, applied course in industrial IoT analytics — designed to be used the week you return.
📍 Istanbul🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
Availability targets for industrial IoT analytics are commercial commitments, whatever the engineering team calls them. The documentation for this strand of technology and systems delivery is accurate only until the next release. It is pitched for practitioners with responsibility for the practice within technology and systems delivery, not for observers of it. A common pattern is strong design of industrial IoT analytics paired with weak follow-through. Discussion is anchored to worked examples of this part of technology and systems delivery rather than to abstract argument. The most reliable predictor of sound this area of technology and systems delivery is whether anyone reviews it when nothing has gone wrong. They gain the ability to sequence improvements to industrial IoT analytics in an order their organisation can absorb. The course gives participants a defensible structure for this strand of technology and systems delivery and the judgement to adapt it. It ends with a prioritised list of changes to the wider technology and systems delivery agenda that the participant is prepared to defend internally.
Expected Learning Outcomes
Apply data protection and retention requirements within industrial IoT analytics.
Manage change to industrial IoT analytics so every release can be rolled back.
Apply access control and least privilege throughout industrial IoT analytics.
Secure the software supply chain and dependencies within industrial IoT analytics.
Communicate the purpose of industrial IoT analytics to those who have to comply with it.
Sequence improvements to industrial IoT analytics so that each step makes the next one easier.
Who Should Attend
Service desk and support leads handling incidents in industrial IoT analytics.
Those responsible for briefing external stakeholders on industrial IoT analytics.
IT managers and service owners responsible for industrial IoT analytics.
Network and communications engineers supporting industrial IoT analytics.
Quality staff verifying that industrial IoT analytics performs as designed.
Software engineers and technical leads building industrial IoT analytics.
Course Modules
Industrial IoT analytics: requirements, targets and service levels
2 sessions · 8 pointsSession 1Monitoring industrial IoT analytics from the user's point of view
- Prepare the summary of industrial IoT analytics that senior management will read.
- Close out actions on industrial IoT analytics rather than leaving them open indefinitely.
- Agree the indicators that will show whether industrial IoT analytics is improving.
- Set delivery and reliability indicators for industrial IoT analytics the team trusts.
Session 2Documenting industrial IoT analytics so someone else can operate it
- Run a load test on industrial IoT analytics at expected peak plus a margin.
- Rank the weaknesses in industrial IoT analytics by consequence rather than by ease of fixing.
- Review logging on industrial IoT analytics for coverage and retention.
- Identify where judgement in industrial IoT analytics is legitimate and where it is not.
Industrial IoT analytics: change control and rollback
2 sessions · 8 pointsSession 1The hard cases in industrial IoT analytics and how to reason about them
- Set out how exceptions to industrial IoT analytics are requested and approved.
- Name a single owner for each element of industrial IoT analytics.
- Record the technical debt in industrial IoT analytics and schedule repayment.
- Inventory third-party dependencies inside industrial IoT analytics and their update status.
Session 2Retiring the legacy part of industrial IoT analytics
- Record what was learned when industrial IoT analytics did not go as planned.
- Identify the single points of failure in industrial IoT analytics.
- Assess the exit route from any cloud or vendor dependency in industrial IoT analytics.
- Confirm data retention and deletion rules applied within industrial IoT analytics.
Industrial IoT analytics: capacity, performance and load
2 sessions · 8 pointsSession 1Sizing capacity for industrial IoT analytics on measured growth
- Measure current load on industrial IoT analytics and project it forward twelve months.
- Arrange the handover of industrial IoT analytics so capability survives staff changes.
- Confirm that those complying with industrial IoT analytics understand why it exists.
- Restore a backup of industrial IoT analytics in a test environment and time it.
Session 2The decisions in industrial IoT analytics that cannot be delegated
- State the availability and recovery objectives for industrial IoT analytics as numbers.
- Apply change control to industrial IoT analytics including emergency changes.
- Agree the smallest change to industrial IoT analytics that would be visibly useful.
- Test the failover for industrial IoT analytics rather than assuming it works.
Industrial IoT analytics: security, identity and least privilege
2 sessions · 8 pointsSession 1Who answers for industrial IoT analytics, and to whom
- Configure alerting on industrial IoT analytics that reflects what users experience.
- Estimate the resource industrial IoT analytics requires to run as designed.
- Confirm that contractual obligations around industrial IoT analytics are understood.
- Review access rights on industrial IoT analytics and remove what is no longer needed.
Session 2Dependencies and supply chain risk in industrial IoT analytics
- Anticipate the objections industrial IoT analytics will raise and prepare the answers.
- Confirm every release of industrial IoT analytics can be rolled back within a defined time.
- Build the internal briefing that explains industrial IoT analytics to those affected.
- Record the rationale for each significant choice made about industrial IoT analytics.
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
We will contact you within one business day to confirm.