The distance between a working prototype of data governance committees and a system the business can depend on is where most budgets disappear. Technology choices around this area of digital and data-driven work are easy to reverse on paper and expensive to reverse in practice. Content is organised around the decisions practitioners actually face in this strand of digital and data-driven work, not around theory headings. The most reliable predictor of sound data governance committees is whether anyone reviews it when nothing has gone wrong. Sessions alternate between guided analysis of this aspect of digital and data-driven work and supervised application. The result is the confidence to make and defend decisions about the wider digital and data-driven work agenda under scrutiny. Ambition around data governance committees outruns capacity unless the sequencing is deliberate. It suits anyone whose decisions touch this strand of digital and data-driven work, in large organisations and small ones alike. The course ends by identifying what the participant will stop doing to make this area of digital and data-driven work sustainable.
Expected Learning Outcomes
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Define escalation and fallback for data governance committees when the automated path fails.
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Assess the current state of data governance committees against a structured set of criteria rather than impressions.
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Build a security and access model for data governance committees appropriate to the sensitivity of the data involved.
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Design the integration points between data governance committees and the systems already in production.
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Set a realistic target state for data governance committees and a defensible route to it.
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Establish monitoring that detects model or service degradation in data governance committees before users report it.
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Apply a repeatable review cycle to data governance committees and act on what it produces.
Who Should Attend
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Product owners prioritising the roadmap for data governance committees.
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Business analysts translating requirements for data governance committees.
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Technical staff being prepared for supervisory responsibility over data governance committees.
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Internal auditors reviewing how data governance committees is designed and operated.
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Programme managers coordinating delivery of data governance committees across teams.
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Technology and digital transformation managers leading data governance committees.
Course Modules
Open any module to see its sessions and topics.
01
Data governance committees: people, skills and the change that follows
2 sessions · 8 points
Session 1What to measure in data governance committees and what to ignore
Set the metrics that will show whether data governance committees is drifting from its intended behaviour.
Build the competence framework that supports data governance committees.
Identify every system data governance committees must read from or write to.
Agree the smallest change to data governance committees that would be visibly useful.
Session 2Proving data governance committees paid for itself
Establish the boundary of data governance committees and record what sits outside it.
Record the reasoning behind each architectural choice in data governance committees.
Prepare the response for the most likely failure in data governance committees.
Record what was learned when data governance committees did not go as planned.
02
Data governance committees: measuring benefit and retiring what it replaces
2 sessions · 8 points
Session 1What breaks first when data governance committees meets real volume
Rehearse the briefing on data governance committees that would follow an incident.
Prepare the summary of data governance committees that senior management will read.
Measure the current quality of the data feeding data governance committees before assuming it is usable.
Estimate compute and licensing cost for data governance committees at expected and at peak load.
Session 2The governance data governance committees needs and the governance it does not
Define the service level data governance committees must meet and what happens when it is missed.
Estimate the resource data governance committees requires to run as designed.
Close out actions on data governance committees rather than leaving them open indefinitely.
Identify the skills the team lacks to operate data governance committees independently.
03
Data governance committees: security, privacy and regulatory obligation
2 sessions · 8 points
Session 1Making data governance committees secure without making it unusable
Benchmark the organisation's data governance committees against comparable operations.
Plan the sequence in which improvements to data governance committees will be introduced.
Remove steps in data governance committees that add effort without adding assurance.
Establish who is informed, consulted and accountable in data governance committees.
Session 2The cost of data governance committees and how to present it
Confirm the retention and deletion rules applied to data inside data governance committees.
Agree the indicators that will show whether data governance committees is improving.
Design the pilot for data governance committees so that a negative result is still useful.
List the data sources data governance committees consumes and confirm each has a named owner.
04
Data governance committees: vendor selection and avoiding lock-in
2 sessions · 8 points
Session 1Where data governance committees touches systems nobody wants to change
Specify the fallback path when data governance committees is unavailable.
Define the exit route from the supplier supporting data governance committees.
Plan how data governance committees is versioned and how a bad release is rolled back.
Establish what evidence demonstrates data governance committees is under control.
Session 2Building the method for data governance committees step by step
Set out how exceptions to data governance committees are requested and approved.
Build the user briefing that explains what data governance committees does and does not decide.
Decide which legacy process data governance committees retires, and set the date.
Test data governance committees against edge cases drawn from real historical records.
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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