This studio is about decision quality, trust, and scale. We use a governance-led lens so that data supports real outcomes rather than becoming a costly hobby.
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This studio is a governance-led walkthrough of real world data practice. The focus is decision quality, trust, and scale, not collecting data for its own sake.
How to use this
Compute and credits
Most of this studio is lightweight and runs in your browser. If a section uses compute, it will only run when you click a button and it will show an estimate and a short summary of what was consumed.
No user data is ingested. These are teaching tools and structured thinking aids.
Opening page · DSI learning hub
Ransity is racing toward a distributed, low-carbon grid. Rolity, the national regulator, issues a mandate: build the Data Systems Integration (DSI) backbone so market operators, Gridwardens, and local utilities can coordinate without breaking trust. Sesame, the delivery consortium, is tasked with turning the mandate into a shared data platform while handling governance disputes, regional politics, and public scrutiny.
Milestones
Why it matters
Every lab in this studio is a chapter in the DSI story. You will translate policy into data practice, balance trust with speed, and prove outcomes that justify the transition investment.
Studio chapters
Chapter 1: The Mandate (Rolity’s directive to Sesame)
Rolity instructs Sesame to align the grid transition with shared data standards, outcome measures, and public accountability.
Chapter 2: The Resistance (Gridwarden pushback)
Gridwardens push back on reliability risks, autonomy, and operational exposure in a shared data fabric.
Chapter 3: The Architecture (DSI design)
DSI designs the platform, the canonical models, and the interfaces that keep local operations intact.
Chapter 4: The Governance (access, audit, disputes)
Access, auditability, and disputes become the battlefield where trust is either earned or lost.
Chapter 5: The Proof (live data, decisions, outcomes)
Live data changes decisions in Flux Markets and proves the transition can scale safely.
Data strategy and purpose
Define outcomes, decisions, and stop rules so data collection is defensible and focused.
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Data architecture
Separate operational and analytical needs, make integration choices explicit, and understand trade-offs.
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Data governance and management
Clarify ownership, stewardship, policies, metadata, lineage, and access control principles.
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Data quality and assurance
Place controls at the right boundary, monitor drift, and quantify the cost of poor quality.
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Analytics and insight
Design KPIs with denominators, stable definitions, and a named decision owner with actions.
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Ethical and responsible data use
Privacy by design, transparency, bias checks, and human oversight for high impact decisions.
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Digitalisation maturity and roadmap
Assess maturity, identify capability gaps, and prioritise improvements without technology-first thinking.
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DSI glossary
Rolity
Ransity's national regulator that sets the DSI mandate, targets, and transparency rules for the energy transition.
Sesame
The delivery consortium responsible for designing, building, and operating the DSI backbone and services.
Gridwardens
Regional grid operators tasked with reliability and safety who guard operational autonomy and risk exposure.
Flux Markets
The live energy trading arena where real-time data, flexibility contracts, and balancing decisions are made.
Exit routes