Hi, I'm
Hi, I'm
Michael Bellamy
Michael Bellamy
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Featured Blog: From Reporting to Decision Support: What Executive Dashboard Get Wrong.
I help organizations build scalable analytics solutions, that drive self-service adoption, and better business decisions.
I help organizations build scalable analytics solutions, that drive self-service adoption, and better business decisions.
My work sits at the intersection of analytics strategy, enablement, and execution, helping organizations replace ad-hoc reporting with governed, scalable solutions that teams can trust and sustain.
What I Do
What I Do
I help enterprise organizations to build and implement analytics solutions that drive self-service adoption and better business decisions through frameworks that scale, governed infrastructure, and enablement that sticks:
Build and implement self-service analytics frameworks
Automate regulatory, compliance, and operational reporting
Establish governance, standards, and scalable analytics practices
Enable teams to confidently use data without increasing analyst dependency
My work focuses on impact, sustainability, and adoption, not just dashboards.
Current Role & Leadership
Current Role & Leadership
I am currently a Solutions Consultant at The Information Lab US, building analytics solutions across various platforms including but Tableau, Alteryx, cloud data platforms, and SQL-based environments.
As a Team Lead for consultants on placement, I provide technical mentorship and delivery guidance to support high-quality execution across client engagements.
I also support:
Solution engineering and proof-of-concept development
Client demos and value assessments
Workshops, and thought leadership initiatives
Sales support and pre-sales solution design
Experience Snapshot
Experience Snapshot
My experience spans enterprise, nonprofit, and advisory environments, where I build analytics solutions that scale, support governance, and drive long-term 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 frameworks rather than individual deliverables, building repeatable structures that guide how data is requested, built, governed, and used.
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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