Hi, I'm
Hi, I'm
Michael Bellamy
Michael Bellamy
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Featured Blog: AI-Ready Analytics Starts Before the Agent
I help organizations move beyond fragmented reporting by building governed, scalable analytics systems that connect trusted data, self-service analytics, and better business decisions.
I help organizations move beyond fragmented reporting by building governed, scalable analytics systems that connect trusted data, self-service analytics, and better business decisions.
My work sits at the intersection of analytics strategy, enablement, and execution. I connect business needs with data platforms, governance, and analytics capabilities to build solutions that are trusted, usable, and sustainable.
What I Do
What I Do
I help organizations strengthen how analytics is designed, delivered, and adopted, reducing manual reporting while improving trust and self-service.
In my work I:
Design and implement self-service analytics frameworks
Modernize reporting and analytics workflows
Establish governance, standards, and reusable practices
Connect business needs with data and analytics capabilities
Enable teams to work confidently with data
My focus is on building analytics capabilities that remain useful and sustainable beyond initial delivery.
Current Role & Leadership
Current Role & Leadership
I am currently a Solutions Consultant at The Information Lab US, working across analytics strategy, solution design, and technical delivery for client engagements.
My role spans discovery, solution engineering, implementation, and enablement. I support client demos, proofs of concept, business value assessments, workshops, and pre-sales solution design.
As a Team Lead for consultants on placement, I also provide technical mentorship and delivery guidance across client engagements.
Experience Snapshot
Experience Snapshot
My experience spans enterprise, nonprofit, and advisory environments, with a consistent focus on measurable business outcomes and sustainable analytics adoption.
Across these environments, my work has resulted in:
Seven-figure ROI delivered by replacing manual text-based reporting with governed self-service analytics frameworks
Hundreds of hours saved annually through automated regulatory, compliance, and operational reporting pipelines
20%+ reduction in workload backlogs by shifting repeat reporting requests into scalable self-service solutions
Enterprise-wide OKR visibility through standardized pipelines and reporting structures
Improved data literacy and sustained adoption through enablement sessions that equip teams to confidently use analytics frameworks
These outcomes reflect a consistent focus on building analytics capabilities that persist beyond initial delivery.
How I Approach Analytics
How I Approach Analytics
I focus on repeatable analytics systems rather than individual deliverables, starting with the decisions that need to be supported and designing for governance, delivery, and adoption from the outset.
This approach includes:
Decision-first framing
Starting with the business decision, audience, and cadence before defining metrics or visuals.
Framework-led design
Using standardized patterns for self-service analytics, KPI definition, and reporting workflows to ensure consistency and scalability.
Project management embedded in delivery
Clear scoping, phased execution, stakeholder checkpoints, and defined success criteria are built into delivery from the outset.
Governance by design
Permissions, documentation, ownership, and refresh logic are considered from the outset to reduce rework (tech debt) and risk.
Enablement over handoff
Teams are equipped with context, structure, and guidance so solutions remain valuable beyond initial delivery.
This approach allows analytics efforts to scale without increasing complexity or dependency on individual contributors.
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