Editorial policy

How we research, write, and review our guides

Performalytic publishes practical content for data leaders and engineers. This page explains who writes it, how it is sourced, and how we handle corrections. It applies to every article in our blog and knowledge hub.

Who writes our content

Every article is attributed to a named practitioner with a public author page listing their role, expertise, and published work. Our writers work on enterprise data programs — reconciliation, MDM, data quality, analytics platforms, and AI delivery — and write about what they implement.

We do not publish anonymous vendor content or ghostwritten listicles under invented names. If a piece is contributed by a partner, the contribution is disclosed.

How we source claims

  • Primary documentation first. Product behavior is checked against official vendor documentation — Snowflake, Databricks, Microsoft, Google Cloud, dbt, PostgreSQL, Liquibase, and others.
  • Standards and research. Where we cite industry data or frameworks, we link to the source, such as DAMA-DMBOK, ISO 8000, NIST, IBM Institute for Business Value, and the European Commission.
  • Visible citations. Each guide includes a Sources & further reading section, and citations are also declared in the article's structured data.
  • No invented statistics. If we cannot verify a number, we describe the mechanism instead of publishing a precise-sounding figure.
Client results in our case studies are reported by the client or measured in production. Client identities are withheld under NDA, and we say so on each page.

Technical review and updates

Guides are reviewed by a second practitioner before publication. We show the published date and the last-updated date on every article, and the same dates are exposed in structured data. When a platform changes materially — a deprecation, a new capability, a pricing shift — we revise the affected section rather than leaving stale guidance in place.

Corrections

If you find an error, email info@performalytic.com with the URL and the correction. We review technical corrections promptly, update the article, and change the modified date. Material corrections are described in the article rather than silently removed.

Use of AI

Our writers use AI tools for drafting, editing, and research assistance. A named human author is accountable for every published claim, and citations are checked against the original source. We do not publish AI-generated quotations, client stories, or statistics.

Independence

We publish content about our own platform, 4DAlert, and we say so when we do. Comparisons with legacy MDM, dbt tests, Great Expectations, and in-house builds are written to help a reader choose the right approach, including when that approach is not ours. We do not accept payment for product rankings.

Last updated: October 22, 2026 · Questions: contact our team · Meet the authors.