Our learning platform
500 million rows of real-shaped data. The world your team learns inside.
Prism is iO-Sphere's simulated business environment. Every learner — bootcamper, apprentice, senior leader — works inside it on real datasets, real problems, and real outcomes. Not toy CSVs. Not case studies.
Practice on what work actually looks like
Most data and AI training is built around toy datasets — clean CSVs, hand-picked rows, single-table problems. That's fine for learning syntax. It doesn't prepare anyone for a real role.
Prism is different. We built a synthetic but realistic global e-commerce business — over 500 million rows of orders, customers, products, returns, marketing campaigns, support tickets, and operational data. It's messy in the right ways. Tables join in non-obvious ways. Data quality issues are present. Time-zones, currencies, edge cases, all there. And every dataset behaves consistently — so a learner who masters Prism builds the muscle memory of working with real business data.
What's inside Prism
500M+
Rows of realistic transactional data
40+
Tables across orders, customers, products, marketing, support, ops
6 years
Of historic activity for time-series analysis
180+
Countries with local currency and tax handling
Orders & products
Multi-region order data, returns, inventory, pricing, supplier costs, margins.
Customers & behaviour
Customer demographics, repeat purchase patterns, churn signals, marketing engagement.
Marketing & campaigns
Channel-level campaign data, attribution, A/B test results, customer acquisition cost.
Support & ops
Support ticket volume, resolution times, agent productivity, escalations.
Finance & reporting
P&L data, cost centres, currency conversions, margin analysis, reporting period closes.
Realistic edge cases
Time-zone bugs, exchange-rate quirks, partial refunds, data-quality issues — the hard stuff is in there.
What learners build in Prism
For data analysts
Query the order book to find revenue trends, build dashboards showing channel performance, identify the top 10 highest-LTV customer segments.
For data engineers
Build pipelines to move daily order data from raw to clean to reporting layer, design schemas for new product categories, set up data quality checks.
For AI practitioners
Train a churn-prediction model on real customer behaviour, build a recommendation engine, fine-tune an LLM for support-ticket triage.
For governance & strategy
Run a DPIA on the customer table, design a retention policy, present revenue insights to mock C-suite, audit a model for bias.
Every programme runs on Prism
Apprentices, applied diploma learners, bootcampers, and short-course participants — all train inside Prism.
Level 4
AI Transformation
Go beyond traditional analysis. This is business analysis, supercharged.
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Level 3
Data & AI Essentials
The data and AI basics every role now needs. No code to start.
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Level 5
Data Engineering
Analysts see the world. Engineers build it. Upskill and start building the infrastructure that makes data work.
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Level 4
Data Analytics
Enable teams to turn raw data into actionable business insights, enhancing decision-making and driving success.
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Level 4
Data & AI Strategy
The strategic flavour of our governance programme. Data quality, AI ethics, and influence at senior level.
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Level 4
Data & AI Governance
Data protection, AI ethics, and compliance. The practitioner focus — DPIAs, frameworks, controls.
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Common questions about Prism
Is Prism real or simulated?
It's simulated — but built to behave like a real global e-commerce business. We chose this approach so every learner gets the same realistic experience without compromising any actual company's data.
Can I use Prism after my programme ends?
Alumni access is included for 12 months after programme completion — so you can keep building your portfolio.
Can my company access Prism?
Prism is the learning environment for our programmes. For corporate clients, we can build bespoke simulated environments around your sector and tech stack — see our For Business page or get in touch.
What tools and languages does Prism support?
SQL (BigQuery), Python (Pandas, NumPy, scikit-learn), Power BI, Tableau, dbt, plus a curated subset of cloud and ML tools. The full tech stack varies by programme.
Can I see a demo?
Yes — book a 15-min demo via the contact page.
Ready to learn on real data?
Browse programmes, find the one that fits your starting point, and start working on Prism.