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Data Science for FP&A: Machine Learning (ML) with OneStream

Experience Corporate Performance Management

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Data Science for FP&A: Machine Learning (ML) with OneStream

Unleash the power and sophistication of Data Science in Finance and Operations through machine learning (ML) from OneStream.

Unleash the power of AI in all enterprise planning processes Accelerate time-to-value for ML forecasting at a fraction of the cost of traditional methods.

Support business planning processes with scalable AI designed specifically for finance, operations, and data science teams to build, deploy, and use time series models within OneStream.

Evolve business planning processes by simplifying ML forecasting for FP&A and operations analysts. Overcome traditional barriers to AI/ML adoption and enrich organizational collaboration.

Main features | OneStream XF

1. Time series ML forecast for FP&A

Provides FP&A and business analysts with a guided experience to build, deploy, and use time series ML models on a single, unified platform.

  • Pre-built systematized processes and infrastructure Conquer the traditional complexity of different development tools.
  • Automated state of the art Data Science processes and techniques normally performed manually by teams of data scientists.
  • AI Engine automatically adjusts to produce the best possible forecast for the training data provided. Success with OneStream.

2. Automatic generation of thousands of demand forecasts

Overcome traditionally high barriers with scalable machine learning time series models to optimize planning across the enterprise.

  • Create thousands of daily and/or weekly demand planning ML- forecasts for products and locations.
  • Business intuition capture models to inform and drive model performance rather than relying on generalized “top-down” models.
  • Unify and align demand plans to driver-based sales, material costs, inventory, and work plans throughout the P&L, balance sheet, and cash flow

3. Continuous model monitoring and retraining

Increase forecasting accuracy and performance by leveraging ML scenarios across reports, visualizations, forms, and dashboards.

  • Reduce forecast bias Compare with ML- scenarios with human forecasts to improve dialogue and collaboration.
  • Monitor model health and performance over time; built-in model retraining provides continuous forecasting and scenario analysis.
  • Drillback and backtesting capabilities create transparency, confidence and trust in budgets, plans and forecasts.

A screen shot of a business dashboard.

Use cases for Sensitive ML

Sensible ML is designed to provide the most sophisticated forecasts from the historical time series data provided
Customers. Here are some examples of how Sensitive ML can be applied in different planning processes
and use cases:

  • To support strategic planning processes, many organizations create 3 or 5 year (or more) forecasts to provide greater clarity of vision and roadmap to support organizational intent, identify strategic decisions, ensure clear direction, and drive competitive growth.
  • To help model strategic plans, organizations can Share 5 years of monthly history or 60 historical data points with Sensible ML.
    • Use these 60 data historical data points, Sensible ML creates a statistical predictive model using a single variable (e.g., a univariate model) for deployment in OneStream.
  • To support Annual Operating Planning (AOP) or forecasting processes, organizations typically require their business units to translate top-down financial goals into granular, “cheers” monthly plans across product categories, sales channels and customers that can result in hundreds of forecasts.
  • To help model granular bottom-up plans for AOP or forecasting, organizations can share these 150-250 historical monthly data points with Sensible ML.
    • Use these 150-250 historical monthly data points, Sensible ML is able to:
      • Ingest and enrich the source data with external macroeconomic data.
      • Automatically generate features and select the most influential variables for modeling.
      • Automatically compare and contrast predictive models such as ARIMA / SARIMA methods in the Model Arena.
      • Effortlessly explore and showcase the top-performing model types for all projected objectives, ready for seamless implementation in OneStream.
  • To support daily or weekly demand planning and/or sales and operations planning (S & OP), organizations typically require their demand planners, business analysts, and/or finance business partners to create granular product and site-level forecasts aimed at guiding tactical staffing, procurement, logistics, and inventory management decisions.
  • To help model daily or weekly demand plans, organizations can share them Over 250 historical data points with Sensible ML.
  • The Over 250 historical data points, Sensible ML will unleash the full potential of advanced ML modeling capabilities, including:
    • Ingest and enrich the source data with external macroeconomic data.
    • Incorporate unique business intuition related to events, promotions, and holidays known to influence forecasts through Sensible MLs event builders.
    • Automatically generate features and select the most influential variables for modeling.
    • Automatically compare and contrast ML methods in the Model Arena.
    • Automatically browse and display the best performing model types for all predicted targets for deployment in OneStream.

Areas of application for Sensible ML

Sensible ML provides time-series forecasting capabilities with a strong focus on daily, weekly, and monthly demand planning and other use cases for FP&A and operations teams in manufacturing, retail, consumer packaged goods (CPG), and other industries. Based on the amount of historical data provided, Sensible ML can provide a range of predictive or ML models that can be used in your business and in virtually any industry.

OneStream XF - Lösungen entdecken

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