Wrangler provides a no-code, visual pipeline builder for finance and accounting teams to clean and transform raw data. Users connect data sources, apply transformations via a drag-and-drop interface, and receive real-time processing previews. The platform ensures data integrity through an audit trail and exports results directly to common business intelligence tools and spreadsheets.
Funding
Funding not disclosed
Founders
Product
Problem
Finance and accounting teams often receive raw transactional data from disparate systems that require extensive cleaning, normalization, and validation before it can be used for reporting or analysis. Manual spreadsheet manipulation or custom scripts are time‑consuming, error‑prone, and difficult to audit, leading to delayed insights and increased risk of data integrity issues.
Solution
Wrangler Data provides a no‑code, visual pipeline builder that lets finance professionals connect to source systems, define transformation steps, and preview results in real time. The drag‑and‑drop interface abstracts SQL and scripting complexities while preserving full control over data lineage. Each transformation is logged in an immutable audit trail, enabling compliance teams to trace changes back to their origin. Processed data can be exported directly to Excel, Google Sheets, relational databases, or integrated with existing business intelligence platforms via standard connectors. The platform is hosted in the cloud, offering on‑demand scalability without the need for local infrastructure or lengthy implementation projects.
Target Audience
Primary users are finance and accounting departments—including CFOs, FP&A analysts, and corporate accountants—who need to cleanse and harmonize data for reporting, budgeting, and regulatory compliance. The solution also serves data‑intensive financial services firms that require rapid, auditable data pipelines without relying on custom code.
Features
- Visual pipeline editor with drag‑and‑drop nodes for filtering, mapping, aggregation, and enrichment
- Real‑time preview engine that validates transformations against live data samples
- Built‑in connectors for ERP, accounting software, CSV/Excel files, and cloud data warehouses
- Immutable audit trail that records every change, user, and timestamp for regulatory compliance
- One‑click export to Excel, Google Sheets, PostgreSQL, Snowflake, and other BI‑compatible targets
- RESTful API and ODBC/JDBC drivers for seamless integration with existing analytics tools
- Role‑based access control and SSO support (SAML, OAuth) to align with enterprise security policies