Data collaboration that combines your data with ours, privacy-safe
We give you a secure way to bring your data together with a partner's, and with Homicity's location and demographic signals, without either side exposing raw records. You unlock the insight that only combined data can reveal, in an environment built for privacy, trust and Canadian data residency.
The most valuable insight often sits across a boundary you cannot cross. Your first-party data and a partner's data would be far stronger combined, but legal, privacy and competitive concerns keep them apart. So teams settle for coarse aggregates, manual file swaps that put data at risk, or partnerships that never move past a signed intent. The value stays locked because there is no safe place to work on shared data together.
Inside Data Collaboration.
Secure data sharing and clean rooms
A data clean room where you and your partners contribute data into a governed, neutral environment. Analysis runs on the combined data while raw records stay protected, so both sides collaborate on shared value without ever handing over their underlying data.
Privacy-safe matching and identity resolution
We match records across partners using privacy-preserving techniques, so overlapping customers, households or locations are resolved without exposing personal identifiers. You see where audiences meet and how they behave, not who they are, keeping matching compliant and defensible.
Data partnerships and enrichment exchange
We structure the terms, controls and mechanics of a data partnership so each party knows exactly what is shared, for what purpose and under which rules. Partners can exchange enrichment safely, turning two limited views into one richer, permissioned picture.
Second and third-party data integration
We connect your first-party data to trusted second and third-party sources, including Homicity's Canadian location and demographic data through Neighbourly. Every feed is integrated with clear provenance and consent, so enrichment adds signal without adding risk.
Joint analytics and shared insights
We build the shared analytics that combined data makes possible, from overlap and audience analysis to joint measurement and modelling. Insight is delivered to each party at the agreed level of detail, so everyone gains without compromising anyone's data.
Outcomes that move the business.
Insight only combined data can reveal
By joining your data with a partner's and with location context, you answer questions neither dataset could alone, from true audience overlap to how demographics and geography shape behaviour.
Richer, permissioned enrichment
Your records gain depth from trusted external signals, so segmentation, targeting and modelling improve without you collecting or storing sensitive data you do not need.
New revenue from your data
Data you already hold becomes a partnership asset. You open new commercial arrangements, joint offerings and measurement services, turning a cost centre into a source of growth.
Collaboration you can defend
Every match, join and output runs inside a governed, privacy-safe environment, so your legal, privacy and security teams can approve the work with confidence and it holds up to scrutiny.
A clear, proven approach.
Align
We agree the shared goal, the questions worth answering and the rules of engagement with each partner, then set the governance, purpose and privacy guardrails before any data moves.
Connect securely
We stand up the data clean room and secure connections, with data residency in Canada, so each party contributes data into a controlled space rather than sending files to one another.
Match
We resolve identity and overlap across the contributed data using privacy-preserving matching, so records join accurately while personal identifiers stay protected.
Analyze together
We run the joint analytics on the combined data and deliver shared insight to each party at the agreed granularity, so collaboration produces value everyone can act on.
Tangible deliverables.
- A secure data clean room and collaboration environment
- Privacy-safe matched and enriched datasets
- Joint analytics, overlap analysis and shared insight reports
- A data partnership structure and shared measurement approach
- A governance, consent and privacy framework aligned to PIPEDA
- Canadian data residency and access controls documentation
Built for teams who want results.
Data Collaboration — common questions.
What is a data clean room and how does data collaboration work?
A data clean room is a secure, neutral environment where two or more parties contribute data and run agreed analysis on the combined result, without any party seeing the other's raw records. Data collaboration is the practice of using that environment to match, enrich and analyse data together, so partners unlock shared insight and value while their underlying data stays protected.
Is data collaboration privacy-safe and compliant with PIPEDA?
Yes. Every engagement is designed around Canadian privacy expectations, including PIPEDA, with clear purpose, consent and data-minimisation built in. Matching uses privacy-preserving techniques so personal identifiers are not exposed, and data residency stays in Canada. We define the governance and controls so your privacy, legal and security teams can approve the collaboration.
Do we have to hand our data over to a partner or to Homicity?
No. The point of a data clean room is that no one takes possession of anyone else's raw data. Each party contributes into a governed environment, analysis runs on the combined data, and outputs are delivered at an agreed level of detail. Your records stay yours throughout.
How does Homicity's own data fit into a collaboration?
Alongside partner data, you can enrich with Homicity's Canadian location and demographic signals from Neighbourly, our real estate data engine. That external context often reveals patterns first-party data alone cannot, sharpening audience, market and location insight within the same privacy-safe environment.
Can data collaboration create new revenue, not just insight?
It can. Once you can share data safely, your first-party data becomes a partnership asset. Brands, retailers, media owners and financial services use collaboration to build joint audiences, shared measurement and new commercial offerings, turning data you already hold into a genuine source of growth.
How do we get started and what do we walk away with?
We begin by aligning on the goal, partners and guardrails, then stand up the secure environment, match the data and run the joint analytics. You leave with a working collaboration environment, matched and enriched datasets, joint insights and a governance and privacy framework that lets the partnership continue with confidence.
More ways we help
Ready to turn your data into growth?
Tell us where you are and where you want to get to. We'll map the shortest path there.