Data Governance & Data Quality: Trusted Data as an Operating Asset
Every analytics and AI ambition dies or lives on the same substrate — data someone actually owns, measures and answers for.
Format
Classroom · Virtual
Upcoming sessions
Pick a session to applyADMISSIONS OPENThe programme
Data governance has a reputation problem: committees, glossaries and policies that change nothing. This programme builds the version that works — ownership assigned to people who can actually fix the data they own; quality measured as fitness for the decisions that consume it, with rules, thresholds and remediation queues; lineage documented where it matters — the regulatory report, the model input, the board KPI; metadata and cataloguing kept proportionate; and the programme design that survives year two: incremental scope, visible wins, and governance wired into projects rather than policed after them. Principles align with BCBS 239 where regulated, but the discipline is universal.
What you will do
Who attends
Data governance and quality teams; chief data officers and their staff; risk and finance data owners; analytics and AI teams who inherit the substrate; auditors of data controls.
Programme agenda
Built for the decisions no textbook prepares you for
I.Ownership that works
- Owners, stewards, custodians: roles cut by ability to act
- The governance operating model: light enough to run, firm enough to bind
- Policies that fit on pages people read
II.Quality and lineage
- Quality dimensions turned into rules, thresholds and remediation queues
- Lineage where it pays: regulatory reports, model inputs, board KPIs
- BCBS 239 alignment where regulated — the same discipline everywhere else
III.The programme that lasts
- Incremental scope: the critical data first, the rest by appetite
- Wired into projects: governance at design time, not audit time
- Measuring the programme itself: adoption, issues closed, decisions trusted
Frequently asked
How is this different from the data governance that changes nothing?
It builds the version that works: ownership assigned to people who can actually fix the data they own, quality measured as fitness for the decisions that consume it — with rules, thresholds and remediation queues — and lineage documented where it matters, not everywhere. Governance is wired into projects at design time rather than policed after them.
Does the course cover BCBS 239?
Yes — the principles align with BCBS 239 where your institution is regulated, and the same discipline is applied everywhere else: lineage for regulatory reports, model inputs and board KPIs. The course is professional training on the discipline, not legal or regulatory advice.
Who should attend?
Data governance and quality teams, chief data officers and their staff, risk and finance data owners, analytics and AI teams who inherit the substrate, and auditors of data controls. Every analytics and AI ambition lives or dies on data someone actually owns, measures and answers for — this course is for those people.
Is an in-house edition available, and how are dates and fees set?
Yes — like every BIZENIUS programme, it is available in-house, tailored to your data landscape, critical data sets and governance maturity, and delivered in English and French. Sessions run on a rolling calendar, with dates confirmed on request, and fees and quotations are provided on enquiry.
Who teaches this
Practitioners, not presenters.
Led by practitioners who have built and run technology, data and AI capability inside institutions rather than presented it to them: heads of digital and product innovation in banks, data and AI leaders who have taken models into production under governance, and technology risk specialists who advise boards on what the estate can and cannot yet do.
What the bench brings
- Analytics, business intelligence and data warehousing
- Credit and enterprise decisioning with data
- Financial modelling and advanced spreadsheet practice
- Data governance and management
- Corporate governance and board practice
- Board induction, effectiveness and committee work
Where they have practised
Current and former practitioners — people who hold the seat today alongside those who have held it.
Sectors: Banking & financial services · Technology & fintech · Government & public sector · Professional services
Regions: Africa · the Middle East · Europe · Asia · the Americas
How they teach
- Hands-on labs and worked data sets
- Case studies of real implementations
- Group design of business cases and journeys
- Demonstrations judged by adoption and control
- Knowledge checks and a personal action plan
Cohorts are kept small so every exercise is worked on the participants’ own situations — in person or live virtual.
The faculty profile for your cohort is sent with the full agenda and the next dates when you enquire.Request brochure →
Share this programme
Know the right person for this seat?Nominate a colleague →
In their words
Knowledge transfer, emphasised throughout
“We worked with BIZENIUS for our Fresh Graduates Programme — they are simply amazing. Knowledge transfer and practical learning were emphasised throughout.”
Kuwait Investment Authority
From the Mandate Record
Mandate № 09 · East Africa
Five gaps, five fixes — the data that reset an SME strategy
The most disciplined credit book in the market had to become its most accessible. The data showed exactly how.
Open the dossier →
The Capability Arc™
Fix it · Advisory
Risk Appetite & Enterprise Risk Governance
An appetite framework wired into daily decisions.
Automate it · Smart IT
Risk Data, Controls & MI (BCBS 239)
Risk data and controls built to BCBS 239.
Learning is one point on the Capability Arc. Many institutions pair this programme with the advisory engagement — and automate what the framework demands.
Teams from these institutions train with BIZENIUS
Related programmes
Data Storytelling: Numbers That Move Decisions
The last mile of analytics — findings shaped into arguments, charts that carry one message each, and the executive presentation that ends in a decision instead of a follow-up meeting.
View programmeTechnology in Financial Reporting: Automation, Data & Standards Implementation
Digitalising the close without losing control — reporting automation, data quality, digital filing formats and the technology side of implementing new standards.
View programmeThe CIO Mandate: Technology as Institutional Strategy
For CIOs, CTOs and chief digital officers — the technology estate as a board matter: investment, AI, cyber accountability and the legacy question.
View programmeTechnology & Data
Take the brochure with you.
One request — the full agenda, the faculty and the next cohort dates, sent personally by the admissions team.