Data Foundations & Architecture
- How well do you know where your data lives, and how centralized is it?
- What does your core data platform look like today?
- How reliable and scalable are the pipelines that move and refresh your data?
How mature is your data and analytics?
A focused self-assessment for operations, finance, and data leaders. Answer 18 questions across six dimensions and get an honest read on where you stand today — plus the three things worth fixing first.
~3 minutes · 18 questions · no sign-up
What you get
- A maturity score across six dimensions, from foundations to AI readiness.
- Your overall tier — from Ad Hoc to Optimized — with a plain-spoken interpretation.
- Your top three priorities, each with a specific, concrete next step.
- A shareable link and a printable one-page report you can save as a PDF.
Data Team as a Service
An architect, an engineer, and a senior consultant — for a flat monthly fee.
Microsoft data stack
Fabric, Power BI, and Azure — plus Snowflake, Databricks, and Airflow.
One business view
ERP, HRIS, finance, and operational data, unified.
What this assessment covers
Six dimensions, three questions each. Here is exactly what every dimension asks about.
Integration & Data Sources
- How do data from your core systems — ERP, finance, HRIS, CRM — get into your analytics environment?
- How do you connect the many SaaS and operational tools the business runs on?
- How timely and automated are your incoming data feeds?
Reporting & BI
- How do people get the numbers they need to run the business?
- How self-sufficient are your teams in answering their own data questions?
- When two reports disagree, how does that get resolved?
Governance, Quality & Security
- Who owns your data, and are its definitions shared?
- How do you know whether your data is accurate and complete?
- How is sensitive data protected and access controlled in your data environment?
Analytics-Driven Operations
- How much do real operational and financial decisions actually rely on data?
- Do you measure the return on your data and analytics investments?
- How do you deliver data and analytics work?
AI & Advanced Analytics Readiness
- Where are you with predictive or advanced analytics?
- How ready is your data itself for AI and advanced analytics?
- How ready is your organization to adopt and govern AI responsibly?
This assessment is provided for informational purposes only and is a general self-evaluation, not professional, legal, security, or compliance advice.
Tell us what's broken in your data stack.
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