OneStream’s Sensible Machine Learning (ML) enables Data Science for FP&A and Operations
The adoption of artificial intelligence (AI) and machine learning (ML) by the Office of Finance and Operations is a matter of when – not if. Both AI and ML will help Finance teams and business analysts analyze and correlate the most relevant internal/external variables that contribute to forecasting accuracy and performance across the Sales, Supply Chain, HR, and Marketing processes that comprise financial plans and results.
Learn how OneStream’s Sensible ML solution delivers thousands demand planning forecasts through a single, unified Intelligent Finance platform to help FP&A and operational teams lead @ speed and drive performance.
This solution brief highlights:
Why a purpose-built time-series ML forecasting solution for CPM is critical to provide the ultimate agility, scale and transparency required for granular operational planning
Why Sensible ML’s guided experience to build, deploy and consume ML models can help organizations finally take advantage of the promise of AI and ML for operational planning processes across the enterprise
How FP&A and operations teams can reduce forecast bias and increase accuracy by unifying thousands of demand planning forecasts with driver-based P&L, balance sheet and cash flow forecasts.
How to unleash the power and sophistication of data science across Finance and Operations at scale and at a fraction of the total cost of alternative solutions.
Thank you for your interest in the Sensible Machine Learning Solution Brief.