Bill C-27 forced data-heavy telecoms to overhaul how they handle consent, and for one leading provider the risk was losing the analytics and personalization its business runs on.
“Treated as an operating model, consent lets a data-heavy business keep both its analytics and its customers’ trust.”
Bill C-27 required companies to obtain explicit consumer consent for data use, forcing data-heavy sectors like telecoms to overhaul their systems. The client had to align data across platforms, bridge legal and technical practices, and comply fast, without losing customer analytics, personalization, or a smooth experience.
ML arteka implemented a data privacy framework aligned to Bill C-27. A centralized consent management platform, OneTrust, was integrated across web and mobile with clear opt-in and opt-out, Adobe Launch and backend APIs flagged and restricted data usage for non-consenting users in real time, analytics workflows were re-engineered and anonymized, and a modular microservices architecture and a cross-functional Data Privacy Task Force kept the program scalable and aligned.
The result: 90% of operational analytics retained, a projected 25% boost in customer trust, and 100% regulatory compliance.
Business Outcomes
A consent-first operating model kept the business compliant while protecting its analytics and customer experience.
Through anonymized data workflows.
From clear, transparent consent.
Compliant with Bill C-27, penalties avoided.
The Transformation
From disconnected systems and compliance risk to a governed, consent-aware pipeline.
- 1
DiscoveryService Design and Gap AnalysisRan workshops with cross-functional teams to map current data handling against Bill C-27 and built a roadmap balancing compliance and feasibility. - 2
ConsentCentralized Consent ManagementIntegrated OneTrust across web and mobile with clear opt-in and opt-out, using Adobe Launch and backend APIs to restrict data for non-consenting users in real time. - 3
AnalyticsRe-engineer the AnalyticsDecoupled non-consenting user data from reporting and targeting and anonymized workflows so analytics survived alongside consent. - 4
GovernScale and AlignAdopted a modular microservices architecture and stood up a Data Privacy Task Force across legal, technical, and business units.
The Business Challenge
Comply Fast, Without Losing the Analytics
New consent law required a fast overhaul that could not disrupt analytics, personalization, or the customer experience.
New consent law
Bill C-27 required explicit consumer consent and a systems overhaul.
Disconnected systems
Fragmented data made coordinated legal compliance complex.
Analytics at risk
New consent limits threatened the insights and personalized services the business depends on.
No room to disrupt UX
Compliance had to be achieved without degrading the customer experience.
Business Outcomes in Detail
What the Numbers Mean
Through anonymized data workflows.
From clear, transparent consent.
Compliant with Bill C-27, penalties avoided.
Technology Snapshot
A Consent-Aware, Future-Ready Stack
Compliance is usually treated as a cost. Built into the operating model, it becomes the control point that lets a business keep its analytics and its customers’ trust at the same time.
Executive Questions and Answers
The questions leadership tends to ask when evaluating an approach like this.
Compliance
How do you comply with a consent law without rebuilding everything?
Start with a gap analysis against the law, then centralize consent so every channel enforces the same rules, with a microservices foundation to adapt to future rules incrementally.
Analytics
Do you lose your analytics when customers opt out?
Not if analytics are re-engineered around consent. By decoupling non-consenting data and anonymizing workflows, the business reported retaining about 90% of its operational analytics.
Trust
What is the customer upside of doing this well?
Transparent, clear consent is expected to strengthen trust. In this engagement that benefit is a projection of about 25%, presented as expected rather than measured.
