Data Readiness Index Self-Diagnostic

How to Use This Assessment

The DRI Self-Assessment scores your enterprise's AI readiness across five foundational dimensions. Each dimension contains four questions. Rate each question honestly on a 1-5 scale using the guide below.

Dimension 1 — Data Quality

Question Title

Accuracy: Do your source systems produce data that reliably reflects real-world events?
Consider: error rates, duplicate records, mismatched identifiers across POS, e-commerce, loyalty, ERP, and supplier feeds.

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Question Title

Completeness: What percentage of critical data fields are consistently populated across your core systems?
Consider: null rates in key fields, missing transaction records, gaps in customer identity linkage, absent inventory events.

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Question Title

Freshness: Is data available at the latency required for the AI use cases you are targeting?
Consider: batch vs. near-real-time delivery, SLA compliance on pipelines, known lag between event and availability in the warehouse.

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Question Title

Consistency: Are the same entities and measures defined and calculated the same way across all systems?
Consider: mismatched product taxonomies, conflicting customer IDs, inconsistent date and currency formats, divergent KPI definitions.

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20% of survey complete.