AI Engineering Agent Adoption Databricks Devin Playbook Events Team Case Study: Caledonia Chamber of Commerce DevKick Studio Start a Conversation
Case Study: Caledonia Regional Chamber of Commerce, est. 1972 Caledonia Regional Chamber of Commerce logo

“Membership should be easy to understand and even easier to renew.”

The Caledonia Regional Chamber told its members that. We built the system that makes it true.

Walk us through your stack
Caledonia Regional Chamber of Commerce new homepage
Founded1972
Haldimand County,Ontario
Public site, member portal,staff CRM
One database,owned by the Chamber
Databricks-ready,not Databricks-dependent
Databricks Brickbuilder Partner Network, Bronze

The situation

Served businesses in Haldimand County since 1972. Simplified its fee structure in 2026 and told members joining and renewing should be simpler. The web presence could not yet deliver on that promise.

Template builder. Google Form for events. A 2024 directory. A calendar widget showing its own setup instructions.

None of this was negligence. The Chamber decided to stop adding tools and build the system instead.

Before and after

The public site, three surfaces

Before
Old Wix homepage
After
New Chamber homepage

The old homepage showed a calendar widget's own setup instructions to visitors. The new one shows events.

Before
Old directory list
After
New Shop Local directory

The directory was a dated list. It is now the full membership, kept current by the members themselves.

Before
Old events page
After
New events calendar

Event submissions arrived by Google Form. They now happen on the events page itself.

Members serve themselves. Staff step in by exception.

The member portal. No before screenshot, because there was no portal.

Before

A member's only touchpoint with the Chamber between renewals was an email or a phone call.

Member dashboard
Before

A listing change meant emailing staff and waiting for someone to edit the site.

Member listing editor
Before

No place for a member to offer a deal to other members.

Member-to-member deals

One console runs the operation.

The staff CRM. Screenshots captured with seeded test records only.

Before

Membership administration happened wherever staff could make it happen.

Staff operations console home
Before

Membership pricing lived in documents; changing a fee meant changing them everywhere.

Membership pricing configuration in the staff console
Before

Event submissions sat in a form inbox with no overview of what was coming up.

Event listings dashboard in the staff console
Before

A website enquiry was an email someone had to remember to answer.

Lead pipeline in the staff console
Before

Reporting meant building a spreadsheet from scratch.

Membership reporting dashboard with CSV and PDF export

Built for what the Chamber does next.

Most association platforms are built to work. This one was built to still work in five years, feeding systems that do not exist yet.

Ready for Databricks, not dependent on it

Nothing in the Chamber's daily operation depends on Databricks. Everything in the data layer is ready for it.

The membership lifecycle is captured as an append-only event stream, typed for analytics, in a schema kept in git. Moving reporting to Databricks is configuration, not a rebuild.

That shape is deliberate. Delta tables under Unity Catalog reward an immutable, typed ledger: lineage is free, point-in-time queries are trivial, and governance is applied once at the catalog rather than patched into every report. The CDC path lands the ledger as Delta tables, Databricks SQL and AI/BI sit on top, and Delta Live Tables can own any transformation the Chamber later needs. Aloomii is a Databricks consulting partner (Brickbuilder Partner Network) and architected the data layer this way from day one.

Not yet built. Possible on this foundation.

Members flagged before they lapse, not after: a lapse-risk score computed in Databricks SQL from the renewal ledger.

Renewal outreach drafted from each member's own history in Unity Catalog governed tables, reviewed by staff, sent on schedule.

The Executive Director asks a plain-language question of the membership data in Databricks AI/BI and gets an answer, not a spreadsheet project.

Event follow-up that goes out without anyone remembering to send it.

What the Chamber runs today is above this line. What the foundation is built to carry is here, labelled as such. We do not blur the two.

Public site (Astro)
Member portal
Staff CRM
Postgres event ledger
(append-only, typed)
Reporting module, read-only
solid = runs today
Lakehouse Sync (CDC)
Unity Catalog, Delta tables
Databricks SQL, AI/BI
dashed = wired and waiting
How the data layer is built, for technical readers collapsed by default; opens on #architecture

Phase 1: Capture. Every membership action writes a typed event to an append-only Postgres ledger. Nothing is overwritten; state is derived, not stored.

Phase 2: Serve. The public site, member portal, and staff CRM all read from the same database through role-scoped views. One source of truth, three surfaces.

Phase 3: Report. A read-only reporting module builds worklists, CSV and PDF exports directly from the ledger. No copies of the data drift out of sync.

Phase 4: Sync. A CDC path is wired for Delta tables under Unity Catalog. Turning on Databricks reporting is configuration, not a rebuild.

The same discipline we use on legacy estates

Most of our Databricks work is the opposite of this build: Informatica PowerCenter, IBM DataStage, Netezza and Db2 estates moved onto the lakehouse, agent-assisted, with practitioners who spent years inside those tools. The Chamber got the same principle in reverse. Land the data in a shape Databricks can govern from day one, so there is never a migration to do later.

If your estate is already on one of those platforms, start with how we migrate Informatica PowerCenter and IBM DataStage to Databricks and the fixed-fee Migration Assessment.

The Chamber owns the Chamber's data

Role-based access for staff, directors, and members. Hardened authentication. PIPEDA-aligned privacy policy; analytics on GA4 consent.

Full export, any time, no request required. Point-in-time recovery. No hostage data, no exit fee, no leverage held over a renewal negotiation.

If the Chamber ever decides to work with someone else, it leaves with everything.

Results, when there are results

The platform went live in September 2026. We captured baseline numbers before cutover, and we will publish what changed once there is a full renewal cycle to measure. We would rather show you an honest build than a case study with numbers invented to fill the space. Check back in January.

Questions chambers and associations ask about this build

Is the Caledonia Chamber platform built on Databricks?

It is built for Databricks, not on it. The Chamber's daily operations run on a Postgres event ledger with a public site, member portal and staff CRM reading from it. A CDC path to Delta tables under Unity Catalog is wired and waiting; turning on Databricks reporting is configuration, not a rebuild. We say this plainly because a chamber does not need a lakehouse on day one, and we would rather show you an honest architecture than an inflated one.

Why an append-only event ledger instead of a normal membership database?

Because a ledger never loses history. Every join, renewal, listing change and event submission is written as a typed event and never overwritten, so current state is derived rather than stored. That gives the Chamber point-in-time recovery and full export today, and it is exactly the shape Delta tables and Unity Catalog govern best, so the same data can feed lapse-risk scoring or plain-language reporting later without a rebuild.

Can this platform be configured for another chamber or association?

Yes. The public site, member portal, staff CRM and reporting module are one codebase with the Chamber's fees, categories and branding held as configuration. The next chamber pays for configuration, not construction. We will walk your current stack with you first and tell you plainly whether a platform like this is worth it for an organization your size.

If your chamber is somewhere on this same path

We built this once. The next chamber pays for configuration, not construction.

Not a chamber? The same team runs our Databricks migration and modernization practice and Devin agent adoption programs for enterprise data and engineering teams.

We will walk your current setup with you and tell you plainly whether a platform like this is worth it for an organization your size. If it is not, we will say so.