Summary
TwinSix Spark is a finance-friendly data integration and transformation platform that helps organizations connect source systems, prepare data, and deliver it into planning, reporting, and analytics environments. It is designed to remove one of the biggest blockers in finance transformation and EPM implementation: integration complexity.
Who this is for
TwinSix Spark is built for organizations that rely on multiple systems for financial, workforce, and operational data and need a more reliable way to bring that data together. It is especially relevant for finance and operations teams working with EPM and CPM platforms such as Pigment.
The problem Spark solves
Most organizations have critical data spread across ERP, GL, HRIS, payroll, CRM, and operational systems. That data often lives in different structures and formats, which makes it difficult to extract, align, validate, and deliver into a unified planning environment. The result is manual work, stale data, implementation delays, and limited trust in downstream planning tools.
What Spark does
TwinSix Spark helps teams:
connect to source systems through pre-built connectors and file-based imports
standardize and validate data in a secure staging environment
transform data visually using joins, mappings, calculations, and aggregations
send prepared data into downstream systems like Pigment, Planful, Snowflake, and other analytics destinations
Why it matters
Spark is built to make integrations easier to own, faster to implement, and more resilient over time. Instead of relying on custom pipelines and developer-heavy ETL work, teams can use a configurable platform to manage data readiness with more transparency and control. The draft positions this as a way to reduce implementation timelines, improve data trust, and give finance teams greater ownership of the data that drives planning.
In one sentence
TwinSix Spark helps finance and operations teams connect, stage, transform, and deliver trusted data without relying on complex custom integration work.