How we build every benchmark, score and comparison.

Executive summary · 60 seconds

What does it measure?

Posture, capacity, coverage, efficiency, resilience and business alignment.

Who does it compare against?

Peers built by country, industry, size, regulation, customers and cloud maturity.

How reliable is it?

Every view shows Peer Match Confidence and Benchmark Confidence on a 0–100 scale.

What decisions does it enable?

Defend budget, justify headcount, prioritize investment and track evolution.

Data sources

• Public Dataset

  Anonymous responses captured via public links.

• Verified Dataset

  Responses from events, partners, registered users and verified communities.

• Research Source

  Public reports: DigiAmericas, OEA / BID, Verizon DBIR, ISACA, WEF, ENISA, SOCRadar, CrowdStrike.

• Model Projection

  System projections or inferences. Never presented as real data.

How scores are calculated

How peer groups are built

Your peer group isn't built from industry alone. We combine country, region, industry, business model, size, technical headcount, regulation, customers, cloud maturity and company stage.

Peer Match Confidence

Measures how close your comparison cohort is to you. 100 = matched on every key dimension.

Benchmark Confidence

Measures statistical quality: sample size, verified share, freshness, research support and segment density.

Quality badge

• Enterprise GradeHigh sample, high verification, high confidence.
• Strong DatasetGood sample and good quality.
• Emerging DatasetSample is growing.
• Limited SampleLow sample or very specific segmentation.

Research integrity rules

• We do not invent statistics.
• We do not show percentages without a source.
• We do not blend public and verified data without disclosure.
• We do not present inferences as real data.
• We do not cite reports without a link.
• We do not use global benchmarks as if they were LATAM.
• We do not compare low-sample segments without warning.

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