Common Considerations:
- Requires thoughtful data governance and model design to scale effectively
- Performance can lag with large, complex datasets unless optimised
- Less advanced out-of-the-box than specialist data science platforms
- Customisation may require Power Platform skills or external support
Common Opportunities:
- Highly accessible for non-technical users and business analysts
- Strong integration across Microsoft ecosystem
- Scalable from small teams to enterprise-wide deployment
- Built-in AI and predictive analytics tools
- Flexible pricing and licensing structure
Alternative Enterprise Platforms
- Tableau – strong visual analytics platform for exploration and storytelling
- Qlik – associative engine for interactive analysis and data discovery
- Looker – cloud-native analytics with strong governance (Google Cloud)
- SAP Analytics Cloud – integrated with SAP for enterprise-level planning and BI
- Databricks – unified analytics and machine learning workspace
Relevant Guides
The SMC Advantage
Fiercely 100% Independent
No vendor commissions. No hidden agendas. Every recommendation is made in your best interest, not someone else’s.
Business Projects, Not Technology Projects
Technology is the enabler, not the objective. Every program is designed to deliver measurable business performance.
Preparation to Execution
A proven model that brings structure, accountability, and clarity from strategy through to delivery. We offer expert advice throughout, as well as hands-on, client-side consulting support to get you to go-live.
Success in category
Compare these in our Data, AI & Automation Guide.