Improve Financial Forecasting With Machine Learning

Test & Select Potential Financial Drivers

Load costs, revenues, cash flow, or other P&L components to forecast, then customize time horizons with business or geographic splits in the Dataiku Application. Add your choice of economic drivers from both internal and external sources to get immediate, actionable results to share with business and management teams.

Understand ML Predictions Without Complex Development

Use Dataiku’s integrated dashboards (or make your own) to perform enhanced financial forecasting analysis. Get ML insights with historical forecasting and actual data, then share results from business-friendly explainable AI.

Enhance Future Forecasting Accuracy With Trust

Make sure ML techniques can be directly compared and evaluated. Deepen understanding of historical forecasting performance and how new statistical ML techniques can increase accuracy — all in a seamless environment with full explainability.

Evaluate & Enrich Forecasting Approach

Reduce effort by blending ML and existing forecasting techniques. Integrate expert knowledge of drivers with ML to evaluate effectiveness, then interpret each model’s findings through quick and insightful analyses of key drivers, and adjust forecasting strategies.

Take Forecasting Into the Age of Generative AI

Once past analysis and top-down forecasting is done, leverage Generative AI to create scalable reports for finance peers, business and management teams. Adjust the prompts, and industrialize generation of business friendly reports across time horizons and business lines, significantly optimizing for time spent on qualitative comments activities. The Dataiku Solution for Financial Forecasting includes the functionality to not only automatically create your report, but refine it for your needs using natural language.

Answer Key Financial Forecasting Questions

The Dataiku Solution for Financial Forecasting helps answer a broad range of questions like:

• How can I integrate new forecasting approaches as a complement to my existing approaches, and evaluate them side by side?
• How can I optimize the time spent by my financial analysts both on quantitative and qualitative activities tied to forecasting? 
• How can I explore ML approaches without teams of data scientists or risking failure after investing a lot of time and effort?
• How can I adopt a scalable framework to roll-out new forecasting approaches across business lines and activities, with flexibility on time horizons and business drivers used?

Ensure Faster Financial Decision-Making

Keep full control of your business process and outputs as you move through a transformative shift in your financial practices. Financial forecasting is just the start: from data pipelining tasks streamlining, improved reconciliation down to smarter financial planning, take a decisive step towards enhanced efficiency and more accurate financial decisions.