Resources
Learn the platform, and the ideas behind it.
Documentation for the products, guides to the concepts, and a plain account of how we handle security and trust.
Documentation
Every FlowDoo step, what it does and when to use it.
Read the docsBlog
Articles on data, analytics, ML, AI and governance.
Read the blogTemplates
Starting points that ship inside the products.
Explore templatesGlossary
The terms used on this site, defined plainly.
Open the glossaryCustomer Stories
Published with permission, when there are stories to tell.
About customer storiesSecurity
What is built today and what is planned.
Security practicesTrust Center
Privacy, compliance roadmap and legal documents.
Visit the Trust Center- Coming Soon
DooAcademy
Training and certification.
About the Academy - Roadmap
Community / DooUniverse
The community for people building with DooHorizon.
About DooUniverse
Guides
Practical guides.
Short, vendor-neutral explanations of the concepts the platform is built on.
- DataGuide
ETL, ELT and workflow automation: what is the difference?
Three terms that overlap in practice. Here is what each one means and when it matters.
· 6 min read
Read - AnalyticsGuide
What makes an executive dashboard worth opening
Most dashboards are built to be complete. The useful ones are built to be read.
· 5 min read
Read - MLGuide
Explainable machine learning: what it is and what it is not
Explainability helps teams understand a model. It does not make a model correct, fair or safe on its own.
· 6 min read
Read - AIGuide
RAG and AI agents, explained without the hype
What retrieval-augmented generation and agents actually do, and what has to be true before they are useful at work.
· 6 min read
Read - GovernanceGuide
Data, model and AI governance: one discipline, three inventories
Governing data, models and AI agents is the same job done three times — unless they share a foundation.
· 5 min read
Read
One platform. A better way to build with data and AI.
Start with one use case. Expand across the ecosystem.