Product tour
Leveraging Machine Learning in Financial Forecasting
Darcy Miller
Solutions Consultant
Pigment is a leading alternative for strategic planning
Anaplan
Pigment natively integrates with over 30 business applications (ERP, CRM, HRIS, BI solutions and more).
Native integrations are limited to fewer than 10 business applications using the Anaplan Data Orchestrator.
Pigment is a natively sparse engine and workspaces are not limited in capacity.
Standard Workspace size is limited, and additional products may be purchased to manage larger volumes of data up to a limit of 720GB.
Data is shared across business functions without needing to manage imports between models.
Data imports must be set up and maintained to copy data across multiple models.
Data updates happen automatically, without end users needing to trigger a data refresh for real-time planning and visibility of changes.
End users must refresh their pages to see the effect of data updates by other users while working in the same model.
Data inputs can be made by end users while imports and data recalculations are in progress.
End users are prevented from making changes to the model while data imports, exports and susbtantial recalculations are in progress.
About this event
What if you could stop reacting to change and start anticipating it? Join us for a live demo of Pigment and see how our latest innovation - natively integrated statistical and machine learning models for more accurate predictions and financial forecasting.
In just 30 minutes, you’ll discover how to:
- Uncover actionable insights with real-time data consolidation for seamless planning, forecasting, and reporting
- Collaborate with confidence across Finance, HR, and Sales in a single source of truth
- Plan at scale and with flexibility, supporting use cases from budgeting and workforce planning to revenue forecasting and supply chain optimization
- Increase forecast accuracy with ML Predictions — a new capability that uses machine learning models and external drivers (like marketing spend or pricing) to help you predict outcomes such as sales, even across large data volumes
