Data trapped in silos
Valuable data stays locked in one-off projects and cannot be easily accessed or reused by other teams.
Product · Data Product Factory
A factory for data products.
A factory for data products.
A launchpad for new revenue.
A data product is data packaged like a product — owned, documented, governed and ready to use through a dashboard, API or feed. SCIKIQ’s factory builds them from the sources you already have: define a use case, auto-discover data, assemble, govern, deploy and publish to your marketplace — so every new initiative stops starting from scratch.
—In brief
The bottom line
Enterprises sit on vast amounts of data but monetise almost none of it — because it stays trapped in one-off projects. SCIKIQ’s factory turns data into data products: built once, governed, and consumed — or sold — many times, in minutes, not months.
01
Gen AI Studio
Talk to any source in plain language, profile and model it, and ship the answer as a product.
02
Auto ML
Models that preprocess, select, tune and deploy themselves — predictive products, not plumbing.
03
Data Marketplace
Publish and monetise — one product becomes many routes to revenue, in ~10 minutes.
01The concept
What is a data product?
A report is used once and forgotten. A data product is built once and consumed for years — a self-contained package of trusted data, with an owner, documentation, quality guarantees and a way to access it. It is the difference between doing data work and shipping something the business keeps using.
Raw data
TablesFilesStreamsLogsAPIsSpreadsheets
Scattered across systems, undocumented, and rebuilt from scratch for every new request.
SCIKIQ factory
Prompt → Product
Data product
Customer 360 Governed
A single, trusted profile of every customer, assembled from CRM, billing, support and behaviour.
APIDashboardLive feed
Documented, owned and governed — discoverable by any team and consumed many times over.
Reusable — built once, consumed by many teams, not rebuilt each time.
Governed — an owner, lineage, quality guarantees and access control.
AI-ready — structured for dashboards, APIs and AI copilots by design.
Monetisable — packaged to sell via subscription, pay-per-insight or freemium.
So what
A report answers one question once; a data product answers it for years, for everyone. That is what turns data from a cost centre into a growth engine.
02How SCIKIQ helps
Prompt → Product → Profit
SCIKIQ’s GenAI-driven factory turns a business need into a shipped, monetisable product. It layers over your governed data foundation: describe the outcome, and the factory identifies the use case, designs the product, validates and governs it, then publishes it to a marketplace.
Why enterprises need a factory
Data stays trapped in projects and pipelines, and never becomes a repeatable product.
Constant rebuilding
Every new use case starts from scratch, wasting time and resources on redundant data work.
Unrealised value
Large enterprises collect massive amounts of data, but only a small fraction is ever monetised.
Lack of standards
No standardised way to package, document and govern data for consistent enterprise-wide use.
Six steps, raw data to shipped product
An automated framework that turns raw enterprise data into reusable, monetisable, AI-ready products — at speed and scale.
01
Define persona + use case
Identify the business persona and specific use case to guide creation with clear business context.
02
Discover data sources
Auto-discover internal and external sources, including the APIs that power your product, with intelligent suggestions.
03
Assemble the product
Build the logical model and pipelines, and select outputs — dashboards, APIs, chatbots.
04
Save & approve
Validate and document with metadata, glossary and compliance tags for trust and complete auditability.
05
Deploy internally
Secure rollout across your organisation with proper access controls and governance in place.
06
Publish to marketplace
Optionally monetise through subscription, pay-per-insight or freemium models.
From one-off projects to products
Move from data projects to reusable products that drive real, compounding value.
Ship faster
Move from data project to usable product with a repeatable workflow that eliminates starting from scratch.
Reuse everything
Standardised products, not one-off dashboards, that multiple teams can discover, trust and consume.
AI-ready by design
Outputs power dashboards, APIs and AI copilots for real-time, context-aware decisions.
Built for monetisation
Packaging and commercial controls support subscription, pay-per-insight and freemium models.
Trust at scale
Enterprise-grade governance, metadata and lineage make products easy to find, trust and use.
Multi-format output
Deploy as dashboards, REST APIs, real-time streams or embedded analytics.
5xFaster time-to-market for data products
40%Higher profit margins on data services
90%Reduction in ML deployment time
$2M+Annual API revenue potential
So what
Because the line is repeatable and governed, the second product costs a fraction of the first — value compounds with every product you ship.
03Examples
What a data product actually looks like
The same factory ships very different products — a governed view, a live model, a real-time feed, a GenAI engine. Each has an owner, a contract and a way to consume it.
Customer 360
A single, trusted profile of every customer, assembled from CRM, billing, support and behaviour.
Used by sales, service & marketing · via Dashboard + API
Churn & demand prediction
A model that scores churn risk or forecasts demand, retrained automatically as the data changes.
Used by retention & planning · via Model-as-a-Service
Real-time risk & fraud signals
A streaming feed of risk and anomaly signals, scored the moment events happen.
Used by risk & operations · via streaming feed
Fare-rule interpretation engine
SCIKIQ built the world’s first GenAI fare-rule interpretation engine for an international airline.
Used by airline operations · via API
Logistics shipment 360
One live view of shipments and supply-chain events for a global logistics leader. See the ECU study →
Used by operations & customers · via Dashboard + API
Smart-home usage patterns
Connected-home usage patterns packaged and listed for sale, published straight to a marketplace.
Used by external buyers · via AWS Marketplace
04Gen AI Studio
Talk to your data — and ship what it says
Gen AI Studio is the chat-first workbench inside the factory. Ask any source a question in plain language, profile and model it in seconds, then turn the answer straight into a shippable data product. Analyse fast, innovate at speed.
Chat-based interface
Interact with complex data sets in plain language — no SQL, no code.
Smart profiler
Real-time summaries, profiling and insight from any source, structured or not.
Data semantics
A business-meaning layer that unlocks deeper, context-aware insight.
Data modelling
Build accurate, intuitive logical and physical models conversationally.
Data pipeline
Simplify and automate the pipeline — raw source to governed output.
Rich metadata
Differentiated metadata management for context-rich, superior integration.
The products it ships
Chatbots & virtual assistants
Document analysis
Speech-to-text & text-to-speech
Predictive analytics
Data modelling & optimisation
SaaS & apps
Embedded insight
Real-time summaries
05Auto ML
Models that build, tune and deploy themselves
Auto ML automates the repetitive machine-learning work — data preprocessing, model selection, training, evaluation and deployment — so your team ships predictive products, not plumbing. Insights on the move, scalable without huge cost.
- Automated data preprocessing — repetitive prep runs itself.
- Model selection & optimisation — the best model, tuned for you.
- Model training, evaluation & deployment — end to end, automated.
- Real-time data, insights & predictions — fuel Customer 360 and analytics.
- Deploy as Model-as-a-Service — scale with demand, without huge cost.
50%Lower operational cost with Auto ML
90%Faster ML deployment
60%Of cases Auto ML beats human-designed models (Google)
$14.5BAuto ML market by 2030 (MarketsandMarkets)
06Data Marketplace
From raw data to a marketplace product in 10 minutes
Turning data into revenue used to take ~6 months and $500K+ of investment. With GenAI pattern discovery, Bedrock-powered product creation and one-click publishing, SCIKIQ does it in minutes — at zero upfront cost, on the infrastructure you already run, with full compliance. Six consumption models turn one product into many routes to revenue.
Two ways to a shipped product
Path 1 · Speak the need
Business request → product suite
Describe the outcome in plain English — no specs, no dev team.
Input“Help us predict service disruptions.”
SCIKIQAI identifies stakeholders, ROI and the product portfolio, then generates the full suite — dashboard, prediction engine, data pipeline.
OutputOne-click deploy — production-ready in minutes.
Path 2 · Connect the data
Data stream → revenue stream
Point SCIKIQ at a live stream and let it find the products hiding in it.
InputA consented data stream — usage and interaction data.
SCIKIQGenAI pattern discovery surfaces usage, behaviour and risk patterns that become products.
OutputInstant product, published to the marketplace with automated docs.
10 minFrom data to a live marketplace product
$0Upfront cost — on infrastructure you already run
$100K–$1MRevenue potential per data product
UnlimitedScale, through the cloud
One marketplace, three sides working together
Demand side
Consumers find and request data
- Need cataloguing, search, browse and filtering
- Order management — requirements, pricing, terms
Supply side
Producers publish data products
- Product types — BI, AI/ML, LDM, processed
- Publishing with catalogue, quality checks and metadata
Market operations
Matching, liquidity and delivery
- Matching engine, data unions and exchanges for liquidity
- Order execution — validation, entitlement, delivery
Example · publishing straight to AWS
Illustrative example
AWS & smart-home data
A connected-home and elderly-care platform captures billions of high-value data points. On SCIKIQ, those usage patterns become marketplace products in minutes — GenAI pattern discovery plus Amazon Bedrock, published straight to AWS Marketplace with automated compliance. Products it can spin up include self-optimising BI dashboards, auto-tuning prediction engines and AI-powered pattern solutions.
Illustrative scenario drawn from a SCIKIQ solution concept; figures are potential, not a statement of realised revenue. AWS, Amazon Bedrock and other marks belong to their respective owners.
So what
Once data is a product, the same asset earns through many models at once — reporting, DaaS, Model-as-a-Service, the factory, an exchange and an API hub.
07The payoff
Data as a growth engine, not a cost centre
The whole point of a factory is compounding return: ship faster, deploy models faster, reach the market in minutes, and open new revenue lines from assets you already own.
5xFaster time-to-market for data products
90%Reduction in ML deployment time
10 minFrom raw data to a live marketplace product
$2M+Annual API revenue potential per product line
Have a data product you want to launch?
We would love to think through it with you — no pitch, no form maze.
Frequently asked questions
What is a data product?
A data product is a reusable, governed, consumption-ready data asset built for a specific persona and use case — owned like a product rather than rebuilt as a one-off pipeline.
What is the SCIKIQ Data Product Factory?
It is a six-step factory that turns raw data into shipped, marketable data products: define the persona and use case, discover sources, then build, govern and publish the product.