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Whether you're sharing data with one partner or orchestrating an entire network — start where you are, grow when you're ready.
Data Exchange Maturity
Select a pattern to see how it works with MDR.
Send Data to a Partner
One company shares scoped data with an external partner.
- Export CSV, manually strip sensitive columns
- Email files with no tracking or audit trail
- Partner gets wrong format, requests corrections
- Repeat every time the data changes
- Build a data product once, reuse across partners
- Partner pulls governed data via OAuth
- Every transfer scoped, logged, and automatic
- Format changes update everywhere instantly
Receive Data From a Partner
One company ingests structured data from an external partner's system.
- Every partner runs a different system
- Custom API work per partner connection
- Schema changes break integrations silently
- Months of dev time for each new partner
- Partner connects their own API to MDR
- AI maps partner fields to the target schema
- Governed data flows on agreed terms
- New partners onboard in hours, not months
Two-Way Exchange
Both partners send and receive data under a mutual agreement.
- Two custom integrations to build and maintain
- Two developers keeping both sides in sync
- Changes on one side break the other
- No shared governance or audit trail
- Both partners connect APIs to one platform
- Shared data products with mutual contracts
- Changes governed by agreement, not hope
- Full audit trail in both directions
One Product, Many Partners
Source systems feed one product inside MDR — each partner gets their own contract and controls.
- Separate export template per partner
- Adding a new partner takes IT weeks
- No per-partner controls or scoping
- Impossible to scale past a handful
- One product, unlimited partner contracts
- Each partner gets their own controls
- Partner #50 works exactly like partner #1
- Self-service onboarding, no IT bottleneck
Many Sources, One Product
Multiple internal systems consolidate into one governed product — partners get a single unified package.
- Multiple teams export data separately
- Merged manually — weeks stale by delivery
- Errors compound across sources
- No single version of truth for the recipient
- Connect all sources to one data product
- AI maps fields to a unified schema
- Partner pulls one governed package
- Always current, always consistent
Compliance & Audit on Demand
Regulators and auditors request specific data — MDR proves exactly what was shared, when, and under what controls.
- Scramble to pull records across systems
- No proof of what was shared or when
- Manual assembly takes weeks per request
- Gaps in evidence create audit findings
- Full audit trail for every transfer
- Frozen contracts prove agreed terms
- On-demand reporting from governed history
- Respond to auditors in hours, not weeks
Partner Hub
One company orchestrates data exchange between its partners — governing the rules without being a sender or receiver.
- Partners build point-to-point connections
- Hub company has no visibility into exchanges
- No standard format across the network
- Onboarding a new partner disrupts everyone
- Hub defines products and governs the rules
- Partners self-serve through the platform
- Every exchange logged under hub governance
- New partners plug into existing products
Data as a Product
Turn proprietary data into a governed product that partners pay to access — a new revenue stream.
- Data locked inside internal systems
- Manual reports built per client request
- No metering, no access controls, no scale
- Revenue opportunity sitting untapped
- Package data into governed products
- Each subscriber gets scoped OAuth access
- Contracts control what data is available
- Scale from 1 to 1,000 subscribers — same product
Which patterns does your
organization use today?
Most companies use a mix of all eight. MDR handles them all.
Schedule a DemoSecure data exchange. Every time. All the time.