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Agencies, associations and research teams

Publish statistics that hold up to review

Benchmarks across members, statistical bulletins and evidence reviews, with uncertainty stated the way your discipline expects, unstable estimates withheld, and every citation in your house style.

Built onDataLogiX
YOUR SURVEYS, MEMBERS AND SOURCESGatherEstimateProtectPublishDATALOGIXEXPERT PACKReliabilityNCHS thresholdsSmall cellsSuppressionFunnel limitsOutliers flaggedIPCCUncertainty termsGRADECertaintyCitationsNine stylesBENCHBULLETINREVIEWDATAPUBLISHEDIn your housestyleRATE · MEMBER K18.4%ReliabilityPassesOutlierFlaggedCitationAPA 7

What’s at stake

Where the work gets stuck today.

Benchmarks can expose a member

Small groups and outliers can identify the member behind a number, even in a table of averages.

Unstable estimates get published

A rate built on a handful of cases looks as solid as one built on thousands.

Uncertainty is described inconsistently

Different authors use different words for the same confidence, and readers can’t compare.

How EVAS helps

The products and services that do the work.

DataLogiX

Statistics with their uncertainty stated

  • Benchmarks across members, with small cells and outliers handled before release
  • Reliability rules that withhold an estimate too unstable to publish
  • Survey weights and design used in weighted rates and their reliability
  • Uncertainty and certainty in your discipline’s terms; citations in nine style guides

SEE IT AT WORK

A benchmark that protects every member

  1. 1Members outside the expected range are flagged against statistical limits
  2. 2Estimates built on too few cases are withheld, with the reason
  3. 3Citations follow the style your publication uses
See it with your data
Readmission rate by memberbenchmark 2026
MEMBER KSMALLER MEMBERS → LARGER MEMBERS
Member KAbove the 99.8% limit
2 membersWithheldToo few cases to publish reliably
CitationsAPA 7th edition

How it works

  1. STEP 1GatherMember data, surveys and public sources
  2. STEP 2EstimateRates computed with their uncertainty
  3. STEP 3ProtectSmall cells withheld, unstable estimates flagged
  4. STEP 4PublishIn your style, with every source cited

Statistical practice, built in

Expert packs carry reliability thresholds, suppression rules and the uncertainty language your field uses. Your editorial standards sit on top.

How expert packs work
NCHS reliabilitySmall-cell suppressionFunnel plot limitsIPCC uncertainty languageGRADE certaintySurvey design weightsAPA, Chicago, MLA and more

What changes

Benchmarks members trust to share data with

No estimate published beyond what it can support

One voice for uncertainty across authors

Bulletins anyone can verify

SENSORLOGIX

Public safety in the same picture

For agencies that respond: wildfire and flood assessments with the burned or flooded area computed twice and the affected assets listed, infrastructure inspection, search and rescue and maritime awareness, from drones, satellites and sensors. Public alerts go out as EDXL-CAP, and defaults keep people out of the picture.

Civil and commercial usesAbout SensorLogiX

Questions we hear

Can members see each other’s data?

No. Each member sees its own figures and the published benchmark, with small groups withheld.

Which citation styles are supported?

Nine styles, including APA, Chicago, MLA, Harvard, IEEE, AMA and Vancouver.

Does it handle survey weights?

Yes, when your data model declares the survey’s weight, strata and clusters. Weighted rates, means and totals then carry a reliability check that uses that design.

Related industries

All industries →
HealthcareHome health, hospice and palliative careExplore →Finance and auditControllers, auditors and finance teamsExplore →Intelligence and defenseAnalysts, release officers and mission partnersExplore →

Let’s look at your research work together

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