The CDQ Framework
Context. Data. Questions. Three layers that determine whether your analytics investment generates insight or just generates reports.
Why Most Analytics Projects Fail
They start with data. They inventory what's available, build dashboards around what exists, and wonder why leaders still make decisions from gut feel. CDQ reverses this — starting with business context, mapping data to that context, then deriving the questions that actually drive decisions.
How CDQ Works
Context
Map the business context first — what decisions are being made, by whom, with what frequency, and what's at stake. This is the foundation everything else builds on.
Data
Inventory and evaluate data sources against the context map. What data exists? What's missing? What's available but not trusted? Data without context is noise.
Questions
Derive the specific, answerable questions that connect context to data. These questions become the requirements for dashboards, AI solutions, and analytics infrastructure.
The CDQ Workshop
A free half-day session where Slide3 applies the CDQ Framework to your specific context. No pitch. No generic assessment. Just a structured session that surfaces gaps you didn't know existed and leaves you with a clear picture of where your analytics investment should focus.
CDQ Across Services
CDQ isn't tied to one service line — it's the entry point for every Slide3 engagement. It's how AI solutions get configured (what context matters, what data feeds the model, what questions the output answers). It's how BI migrations get scoped (which workbooks serve real decision contexts). It's how process discovery gets prioritized (which processes touch the highest-stakes decisions).
Book a CDQ Workshop
Half a day. No pitch. Just a structured session that shows you where your analytics investment should actually focus.
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