Data-to-Value Assessment
How effectively is your organization turning data and AI into business value?
Most organizations have invested in data, and many are now investing in AI. Far fewer have built the complete system required to convert that investment into better decisions and measurable outcomes.
This assessment is designed to identify where the constraint sits between your data investment and the business value it produces.
- How long it takes
- 18 questions across six dimensions — about 5–7 minutes.
- What you receive
- An overall maturity score out of 100, a score for each of the six dimensions, your primary constraint, what it means in plain language, a recommended first move, and the SMPLCTY capability most relevant to it.
- Why it exists
- To locate the constraint between data investment and business value, so effort goes where a decision would actually change.
Approximately 5–7 minutes.
The result is directional: a structured read on your own answers, not a certification or an industry benchmark.
- 01
Business Alignment
Are data and AI initiatives connected to important business priorities?
- 02
Data Foundations
Is the required information integrated, reliable, and accessible?
- 03
Measurement
Are KPIs clearly defined, governed, and useful?
- 04
Analytics & AI
Is the organization using the appropriate analytical capabilities for its business problems?
- 05
Decision Integration
Does intelligence reach people at the moment action is required?
- 06
Value Realization
Can the organization show how analytics and AI investments improve business performance?