Canvas Reply
Reply logo

Reply Introduction

Next-gen data visualisation with Fabric

Reimagining how data is consumed, understood & acted upon.

Message author

Miguel Alvarez

Partner

Canvas Reply logo

A personal note

Thank you for taking the time to explore this with us.

We've put together this proposal with your team in mind — drawing on the conversations we've had and the priorities you've highlighted.

What follows is a focused look at how we can help turn your data into experiences your people will actually use — clearer decisions, faster signals, and a stronger foundation to build on.

We're excited about what's possible together.

— Miguel & the Reply team

Recap

What you experienced at Xchange

A brief recap of the moments from Reply Xchange that resonated most with your team, and how they shape this proposal.

Reply Xchange London entrance

Agentic AI in action

Autonomous agents working across enterprise data, demonstrated live with a clear shift from chat to execution.

Immersive digital twins

Operational environments brought to life in real time, demonstrated live with a clear shift from data to decisions.

Data products & decisions

Reusable data products driving self-serve analytics, demonstrated live with a clear shift from insight to decisions.

Sustainable innovation

AI and data applied to real-world sustainability, demonstrated live with a clear shift from models to outcomes.

Explore our offering

The problem

There is more data than ever, yet leaders lack the access and the ability to trust it.

The problem

A growing gap between data and decisions

Every year, poor data visibility slows more decisions and weakens more outcomes

We're heading towards 400 zettabytes of data — doubling every two years — yet still relying on 18th-century charts.

As volumes explode and attention fragments, static dashboards are falling further behind — and the gap between data and real understanding keeps widening.

Left unchecked, the cost of that gap compounds every quarter: slower decisions, missed signals, and lost trust.

The payoff for closing that gap?

The problem

The gap in numbers

What poor data quality really costs — across revenue, productivity, and trust.

£244BN
Annual economic cost

Poor data quality is estimated to cost the UK economy £244 billion every year.

37%
Productivity loss

Over a third of UK business leaders report productivity losses because employees spend time reconciling information.

34%
Lost revenue

More than one in three UK organisations have experienced measurable revenue loss due to poor-quality data.

81%
Data silo challenge

81% of UK businesses say they are being held back by distributed and disconnected data.

43.5%
AI adoption barrier

43.5% of European organisations cite poor data quality as a barrier to AI adoption.

Our solution

By turning complex data into clear, interactive visual experiences, we help leaders see what matters, trust it, and act on it faster.

OUR SOLUTION

Bring data into one clear, visual layer and the whole organisation moves faster — sharper decisions, signals you can act on and trust restored.

Bringing critical data into one clear, visual layer is how organisations stop paying that cost — and start deciding faster, with more confidence.

What the gap costs you

  • Decisions delayed while teams reconcile conflicting numbers
  • Critical signals lost inside fragmented dashboards
  • Hours wasted on manual reporting instead of acting
  • Eroding trust in the data leaders are handed

Visualisation · Dashboards · Digital twins

  • Combining multiple data sources
  • Enhancing existing dashboards
  • Interactive exploration (not static reports)
  • Live data feeds

Our solution

From dashboards to digital-data experiences

  • Move beyond static views

    From charts to interactive, immersive data experiences making insight easier to engage with.
  • Make complexity navigable

    Use 3D, digital twins, and thematic layers to simplify and explore complex environments.
  • Design for how people consume insight

    Short, intuitive formats that match how users actually absorb and act on information.
  • Guide, don't just present

    AI-driven narration and contextual prompts that help users understand what matters.
  • Build from what already exists

    Leverage existing data while transforming how it is accessed, explored and used.

Case study · Urban Scout

A single, interactive intelligent layer over brownfield land

Urban Scout brings together fragmented land, planning, and spatial data into a single, explorable interface designed for decision-making — not analysis overhead.

  • 3D spatial interface that visualises every brownfield site as a comparable, intuitive object
  • AI-assisted filtering and recommendations that continuously refine as you interact
  • Integrates GIS layers, planning context, constraints, and real-world availability into one coherent view
  • Supports both structured interaction (filters, sliders, charts) and natural language queries
  • Not just a map — a decision engine embedded in a map
  • Not a static report — explore and query the data in real time

Case study · British Airways

From a destination to an intent-first travel planner

People don't start with a destination — they start with what they feel like doing. This experience flips travel planning on its head by starting with intent, not location.

  • Map-first, visual experience that narrows trips instantly by budget, time, and preference
  • Brings destinations to life through relevant experiences—showing what you can do, not just where you can go
  • Built for real behaviors with shared shortlists, live preference updates, and faster group decisions
  • Captures how choices are made to enable smarter recommendations and deeper personalisation
  • Builds on existing platforms while transforming how travel decisions are explored and made

Case study · Heathrow Terminal 5

From data to decisions: a digital twin of operations

A real-time digital twin brings air traffic, ground operations, and scheduling into one clear view — helping teams monitor, respond, and make faster, better decisions in the moment.

  • Digital twin of Terminal 5 — real data, not a simulation or mock-up
  • Integrates air traffic, ground operations, and campus systems into a single view
  • Tracks aircraft and vehicles in real time, with clear visual cues on status and movement
  • Enables instant focus on any flight, asset, or operation as it happens
  • Simulates disruption scenarios with guided actions and realistic operational responses
  • Combines live operations, scheduling, and predictive insight in one seamless experience

Case study · Wealth Management

Portfolio review — AI-powered, narrative-driven

An AI-powered platform that turns client portfolios into clear, narrative-driven views — with intelligent agents surfacing the moments that matter so advisers can act faster, stay compliant, and focus on the conversations that count.

  • AI-powered adviser platform with a full book view of clients and assets
  • Turns each portfolio into a clear, narrative-led client story
  • AI agents monitor markets and surface the moments that need action
  • Built-in compliance and ESG alignment to keep portfolios within mandate
  • Focuses advisers on faster, better conversations — not manual analysis

Architecture

Powered by Microsoft Fabric — the unified data platform for AI transformation

At the heart of the experience sits Digital Twin Builder in Real-Time Intelligence — a low-code way to model real-world entities, relationships and behaviours, then enrich them with live operational data flowing through OneLake.

Microsoft Fabric — the unified data platform for AI transformation, with Digital Twin Builder, Data Factory, Analytics, Databases, Real-Time Intelligence, Power BI and the Fabric Platform (AI, OneLake, Purview).

Digital Twin Builder turns raw streams into a semantic model of the business — flights, aircraft, terminals — without writing pipelines.

Real-Time Intelligence ingests, processes and reacts to live events as they happen.

OneLake unifies all data in one open, governed lake — accessible across every Fabric workload.

Power BI, AI and Purview close the loop — visualising, reasoning over and governing the twin end-to-end.

Architecture

Fabric API for GraphQL — the right data, in the right hands, instantly

A simple way to connect apps, dashboards and AI agents to all your Microsoft Fabric data — without waiting on engineering teams to build custom pipelines.

What it means for the business

Faster decisions — teams get the exact information they need in a single ask, not buried in oversized reports.

Less waiting on IT — no custom plumbing to build, so new ideas can be tested in days, not months.

One source of truth — all Fabric data is reachable in one place, so everyone works from the same numbers.

Lower cost to change — apps and dashboards keep working as the data grows and evolves.

What it unlocks

AI agents that can answer real questions — securely tapping into live business data, not stale extracts.

Customer-ready apps and portals — powered directly by trusted Fabric data.

Self-serve insight — product, ops and commercial teams can explore data without raising tickets.

Trust and governance built in — the right people see the right data, with full visibility of who accessed what.

Executive summary

From data you can't trust to decisions you can defend.

The problem

Decisions are faster, but trust in the data is falling.

£244B

Cost to the UK economy each year: Quaylogic, 2025

The solution

A visual layer that lets leaders navigate through their data.

The outcome

Faster, defensible decisions — proven in weeks, scaled with confidence.

66%
of leaders
AI is accelerating decision-making, but 66% of leaders don’t trust the data informing those decisions.

Our solution

Three layers of capability

Initial Proof of Concept

Understanding the data, the audience, and where insight is being lost.

Initial Proof of Concept

  • Use case discovery & workshops
  • Data audit and readiness assessment
  • Visualisation strategy and roadmap
  • Audience and user research
  • Data storytelling frameworks

Visualisation & Storytelling

Translating complex information into clear, intuitive visual experiences.

Visualisation & Storytelling

  • 3D and spatial data design
  • Interactive dashboards and reports
  • Algorithm and model visualisation
  • Short-form, intuitive formats
  • Narrative compression and summarisation
  • Accessible and inclusive design

Immersive & Interactive

Moving from dashboards to environments people can navigate and explore.

Immersive & Interactive

  • Simulation and scenario modelling
  • Digital twins and live environments
  • Spatial interfaces and environments
  • AI-powered narration and guidance
  • Game-engine powered visuals
  • Embedding visuals into enterprise tools

What's next

Initial Proof of Concept

Building on the first layer of capability — understanding the data, the audience, and where insight is being lost.

Discovery & PoC

£15,000

A low-risk engagement designed to identify and validate the commercial value of improved Data Visualisation.

  • Stakeholder interviews to understand key challenges and opportunities
  • Creation of proto-personas and a research-backed problem statement
  • Development of a working proof of concept using available data
  • Clear storytelling narrative linking the problem, solution and business value
  • Recommendations and roadmap for future phases

Investment protection

The £15,000 is fully credited against the next phase if the client chooses to continue. This creates a funded discovery, avoids speculative work, and provides a tangible outcome to support further investment decisions.