Alteryx Workflow Automation

What it demonstrates

Multi-source consolidation

Database tables, spreadsheet inputs, and mapping reference files enter one pipeline and are conformed before anything downstream joins them.

Part number matching and cleansing

A dedicated branch standardizes part numbers first, so the joins that depend on them are not absorbing dirty keys.

Actuals reconciled against backlog

Actualized milestones are matched back to open backlog lines and removed from them, which is the step that keeps the two reports agreeing.

Numbered, containerized steps

Each stage sits in its own labelled container, so the workflow can be read, handed over, and re-run a stage at a time rather than end to end.

Python inside the workflow

A Python step handles the file retrieval the native tools do not cover, kept inline instead of as a separate manual pre-step.