Project Data Quality & Modern ICT: From Raw Data to Reliable Decisions
Learn how to assess, clean, and govern project data while leveraging today's most powerful information and communication technologies — so your decisions are always built on truth, not noise.
Perfect for: Project managers, program coordinators, business analysts, PMO leads, and digital transformation professionals who work with project data daily and want to eliminate costly data quality failures while making confident use of modern ICT tools.
Bad data doesn't just slow projects down — it kills them.
Missed deadlines, blown budgets, and misaligned stakeholders almost always trace back to the same root cause: unreliable data. Whether you're managing a construction rollout, a software delivery, or a cross-functional business initiative, the quality of the information flowing through your project is the single biggest lever you control. This school gives you a rigorous, practical framework for measuring, improving, and sustaining data quality across the full project lifecycle.
Modern ICT is reshaping how project data moves, lives, and gets trusted.
Cloud collaboration platforms, real-time dashboards, AI-assisted reporting, and integrated project management ecosystems have transformed what's possible — but they've also introduced new failure points. You'll go beyond tool tutorials to understand why certain technologies introduce data integrity risks, and how to configure, combine, and govern them so that the information your team acts on is accurate, timely, and complete.
A course built for the reality of modern project environments.
Every concept is anchored in authentic project scenarios: budget data inconsistencies across ERP and spreadsheet systems, scope-change records that don't match across tools, KPI dashboards that tell three different stories depending on who built them. You'll leave with ready-to-apply checklists, audit templates, and governance policies you can deploy on your next project immediately.
Who teaches this and why it matters now.
Data governance is no longer a back-office IT concern — it is a core project management competency. Organizations that treat data quality as an afterthought pay for it in rework, eroded stakeholder trust, and failed audits. This school equips you to be the person on your team who changes that.
What you'll be able to do
- Define and apply the five core dimensions of data quality (accuracy, completeness, consistency, timeliness, validity) within a real project context
- Conduct a structured data quality audit on any project dataset and produce an actionable remediation plan
- Map the data flows in your project's ICT ecosystem and identify where quality degradation is most likely to occur
- Evaluate and compare modern ICT tools (cloud platforms, BI dashboards, collaborative suites, AI reporting assistants) against data quality criteria
- Design and implement a lightweight data governance policy tailored to your project's scale and team structure
- Detect and resolve the most common data integrity issues caused by multi-tool project environments (ERP, spreadsheets, PM platforms)
- Build a real-time data quality monitoring dashboard that surfaces issues before they become decisions
- Communicate data quality findings and risks clearly to both technical and non-technical stakeholders
Curriculum
6 modules · 17 lessons
Your teacher
Olivier Mumbere Muhongya
I've spent years working at the intersection of project management and data — watching well-planned projects stumble not because of poor strategy, but because the information guiding the team simply couldn't be trusted. A budget figure pulled from two different systems. A risk register that hadn't been updated in six weeks. A dashboard that looked authoritative but was built on a flawed data export. These aren't edge cases; they're the norm in most project environments. That's what drove me to build this school. I combine a deep background in project governance with hands-on experience implementing ICT solutions for project teams across industries. My goal is to give you the frameworks, vocabulary, and practical tools to make data quality a competitive advantage on every project you touch — not just a box you check at the end of a phase review.
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