Workflow Control Steps
Control PlaidCloud workflow execution with steps for creating, running, stopping, looping, and managing workflow variables.
Control PlaidCloud workflow execution with steps for creating, running, stopping, looping, and managing workflow variables.
Import data into PlaidCloud workflows from CSV, Excel, JSON, Parquet, databases, Google Sheets, and many other sources.
Export data from PlaidCloud workflows to CSV, Excel, JSON, XML, Google Sheets, SQL databases, and other file formats.
Transform data in PlaidCloud workflows with table steps for joins, unions, pivots, extracts, copies, and updates.
Use PlaidCloud dimension workflow steps to create, load, sort, export, and manage hierarchical data within workflows.
Manage documents in PlaidCloud workflows with steps for file conversion, copying, renaming, deleting, and PDF operations.
Send notifications from PlaidCloud workflows via email, Slack, Microsoft Teams, SMS, webhooks, and other channels.
Configure PlaidCloud Agent workflow steps for remote SQL execution, file transfers, and operations behind firewalls.
Use general PlaidCloud workflow steps including user-defined transforms, remote Python execution, wait, and pass operations.
Generate PDF reports in PlaidCloud workflows using single report and batch report generation workflow steps.
Learn about common PlaidCloud workflow step operations including data mapping, filtering, and configuration options.
Define allocation rules in PlaidCloud workflow steps to specify how costs are distributed from source to target data records.
Split and allocate values based on driver data in PlaidCloud workflow steps for cost distribution and activity-based analysis.
Tag data records based on configurable rules in PlaidCloud workflow steps for automated categorization and data classification.
Connect PlaidCloud workflows with SAP ECC and S/4HANA systems using RFC calls and financial document attachment steps.
Integrate PlaidCloud with SAP Profitability and Cost Management using workflow steps for model operations and data loading.