Data has become vital to running a business, but managing it effectively is complex and costly. Traditional architectures (data warehouses, lakes, swamps) don't flex easily as the business changes. Enter data fabric - a unified, real-time data architecture that makes integration, analytics and governance simpler and consistent across the organisation.
How a data fabric works
A data fabric is an integrated layer of data and connecting processes that spans the entire enterprise. Instead of forcing data into a single physical store, the fabric provides a unified semantic layer over wherever the data actually lives. The fabric handles integration, lineage, governance and access control as core capabilities - not as bolt-on tools.
The practical result is that a question asked once gets answered consistently no matter which underlying system holds the data, and any change to one part of the system propagates correctly to every downstream consumer.
Practical benefits
Unified access. One interface for every data source, regardless of where it physically lives.
Faster analytics. The fabric pre-computes commonly-asked aggregations, making real-time analysis on large data sets viable without manual modelling for every new question.
Governance by design. Provenance, access control and anonymisation are built into the fabric rather than bolted on later. That makes governed sharing - between departments, between business units, between organisations - tractable.
Adaptability. As the business changes, the fabric can adopt new data sources and expose them through the same interface. No migration project. No re-modelling.
Why this matters in retail
Retail data lives in dozens of systems: POS, inventory, ERP, e-commerce, loyalty, supplier portals, ad platforms. A data fabric makes them queryable as one. For retailers running multi-store networks, multi-channel commerce, and multi-supplier category relationships, the fabric is the only architecture that scales without exponential cost.
tapestry's product is built on a data fabric specifically tuned for retail: SKU-level, POS-grounded, governed for retailer-supplier sharing. The architecture is what makes Hank's real-time answers possible, and what makes Supply+'s governed cross-organisation views work.
Where to go from here
For retailers and brands considering a data fabric approach, the right starting point is usually a narrow proof: pick the highest-value workflow, run it through a fabric-backed layer, measure the time-to-answer compared to the current state. The economics of the fabric show up clearly once you compare any operational decision-making loop side-by-side.
tapestry runs governed data fabric infrastructure for retailers, suppliers and wholesalers. If you'd like to discuss what fit looks like for your organisation, we'd love to talk.