Turn your data into profitability insights
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Enrich

Create repeatable workflows that perform simple to complex data transformations on data of any size along with insight generation without writing any code.
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Data Transformation Tools Designed for Finance and Operations Workflows

Most data transformation tools require data engineers to build and maintain the pipelines that finance teams depend on. PlaidCloud’s Enrich environment inverts that model: point-and-click data preparation tools let finance analysts configure complex extraction, transformation, and loading workflows directly — without writing code or submitting IT tickets. As purpose-built data processing software for financial operations, Enrich handles everything from basic CSV cleaning and ERP data normalization to multi-step allocation models running across billions of rows. Every transformation is version-controlled, auditable, and reusable — meaning the model your team builds once runs automatically at each period close, with consistent logic and a complete lineage record.

Do Learn Do

Build models iteratively, explore results, 
and respond.

  • Explore any size data quickly
  • Save Table Explorer analysis as an Extract step with one click
  • Build and revise iteratively with point-and-click data transforms

Batteries Included 
for Business

Business-oriented data transformations.

  • Purpose built transforms for finance and supply chain operations
  • Cost allocations with market leading assignment approach
  • Direct two-way integration with ERP systems

Native Support for Multidimensional Data

Build models shaped like your business.
  • Build or load dimensional hierarchies
  • Tight integration between business transformations and dimensions
  • Support alternate hierarchies, attributes, properties, and values

Allocations at Transaction Level Scale

Perform allocations at any level including transactional.
  • Best-in-class allocation engine out-performs all other technologies in the market
  • Point-and-click assignments provide comprehensive view of the model setup
  • Natively supports even the most complex allocation scenarios including assignments at any level within a hierarchy

Power Tools

Zero compromise. PlaidCloud enables you to run your code on big data.
  • Work with Python or SQL and operate on large, performant datasets
  • Augment standard workflows with user defined functions written in Python
  • Write and test from your own IDE or Jupyter
  • Manage and deploy with Git

From Raw ERP Data to Enriched Analytics — Without Writing Code

PlaidCloud’s data transformation software bridges the gap between transactional ERP data and the enriched, model-ready datasets that drive profitability analysis, transfer pricing calculations, and management reporting. Each data analytics workflow is built iteratively: explore the data, apply transforms, review results, and refine — all within the same environment, without switching tools. For teams that do need to work in code, Python and SQL transforms are natively supported alongside point-and-click steps in the same workflow — giving technical and non-technical team members a shared, integrated environment without compromise.

Transforms

Pass Through

Wait

User Defined

BOM: Load Part Master

BOM: Load Makeup Volumes

Identity: Deactivate Workspace Members

Identity: Get Workspace Members

SAP: Post Journal Entry

SAP: Attach File to Document

SAP: Retrieve Master Data

SAP: Remote Function Call

SAP PCM: Hyper Loader

SAP PCM: Run Console Job

SAP PCM: Copy Version

SAP PCM: Copy Period

SAP PCM: Rename Model

SAP PCM: Delete Model

SAP PCM: Create Model

SAP PCM: Copy Model

SAP PCM: Stop Model Calculation

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PlaidCloud Cloud can improve your operational efficiency and returns.
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