Data strategy for SMB's
- Howard Morgenstern
- Jan 30
- 1 min read

A strong data strategy can help small and medium sized businesses solve challenges. Here is how Data Canuck can help.
1. Aligning Data with Business Goals
Many organizations collect data but lack a clear strategy to derive value from data
Data Canuck can bridge this gap by aligning data initiatives with revenue, efficiency, and growth objectives
2. Breaking Down Data Silos
Companies often have disconnected systems (CRM, ERP, marketing platforms) that don’t communicate.
Data Canuck can design integration strategies using cloud-based solutions, data lakes, or real-time pipelines.
3. Improving Data Governance & Compliance
Many businesses struggle with privacy laws (GDPR, CCPA) and security risks.
Data Canuck's expertise can help set up governance frameworks, access controls, and compliance workflows.
4. Accelerating Analytics & AI Adoption
Clients may want AI/ML but lack clean, structured, or accessible data.
Data Canuck can implement data modeling (e.g., Data Vault), feature engineering, and MLOps best practices.
5. Monetizing Data Assets
Businesses often underutilize their data as an asset.
Data Canuck can help explore data-as-a-service (DaaS), embedded analytics, or new revenue models.




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