Predict

To enable Predict, Planful Support team must first complete the following steps:

1. Go to Maintenance > Admin > Configuration Tasks.
   
2. Select Planful: Predict from the list.
   The Planful: Predict configuration page appears.
   
3. As per your need, click Enable Signals.
   The Enable Predict popup appears.
4. Enter the passcode in the given text box and click Verify.
   Follow the same steps to enable Projections.

The Predict Signal's AI Engine, powered by machine learning and statistical/mathematical modeling, generates a predicted range representing the normal data ranges for a given dimension intersection. Any values falling outside of that range are tagged as Signals. These Signals are categorized as High risk, Medium risk, and Low risk depending on how far off they are from the predicted normal range.

Predict Signals Predict Signals has a robust machine-learning pipeline that handles the entire data science cycle, starting from data pre-processing to model deployment and management.

The Model Training phase in this ML pipeline is equipped with many time-series algorithms, statistical methods, and classical ML techniques with advanced ensemble and stacking methods to ensure consistent and accurate results. The Model Training time is optimized to a maximum extent using multi-threading and parallel executions. The algorithmic settings for the Model Training cannot be changed as they are designed to adapt to varied customer data.

Predict Signals allows you to analyze scenario data, spot anomalies, and improve your projections’ accuracy by providing more context around the signals. In addition, it provides a consolidated data analysis report on the dashboard, lets you collaborate with colleagues or respective owners of various data sets, and facilitates users taking corrective actions.

• Timely identification of Anomalies: Signals could be displayed due to erroneous data entries like typos, mistakes in formulae, or fat-finger errors. Predict Signals helps in the timely identification of these anomalies, preventing these expensive mistakes.

• Efficient Planning: Signals makes work more efficient by helping you fix errors in time and by letting you collaborate with peers. It helps you customize your dashboard according to your requirements and view only the data that you deem necessary.

• Collaborative Decisioning: If a signal is ever a result of a conscious change in planning, you can easily collaborate with your colleagues to take appropriate action.

• AI-Powered Actionable Insights: Signals helps to turn your data into actionable insights and empower businesses to make data-driven decisions.

The Projection's AI engine processes historical data from the Actual scenario present in the system to understand the trend, seasonality, and statistical properties embedded in them by amalgamating standard AI Algorithms and Planful’s proprietary algorithms and techniques. It is built using a Human-in-the-loop (HITL) design that can take your annual budget as input and distribute the amount across the months of a fiscal year while adhering to the time-series properties found in the data by the AI engine.

The Projection’s AI Engine is completely automated and off the shelf. You can use it like any other spread method in Structured planning. It is equipped with a robust AI pipeline that handles the entire data science cycle, starting from data pre-processing to model deployment and management.
The model training phase in this pipeline is built with many time-series algorithms, statistical methods, and Planful’s proprietary algorithms and techniques to ensure consistent and reliable projections. In addition, the model training time is optimized to a maximum extent using multi-threading and parallel executions. The algorithmic settings for the Model training cannot be changed as they are designed to adapt to varied customer data.

Predict works as an intelligent assistant for all your planning and analysis requirements by helping you save time, and making you more efficient and accurate in a data-driven approach.

• Efficient planning: Projections consider the historical trend and seasonality and potentially do better than formula-based planning in less time.
• Reduced Cost: The number of planning resources required is reduced.
• Increased business performance: With more data-driven planning empowered by AI, it generates more reliable projections for the business.
• Augmented human intelligence: Projections allow users to moderate the AI-generated values for organizational decisions or exceptions without compromising on the usage of historical insights generated by the Projection’s AI engine.