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Predictive Analytics AI

Companies may use Predictive Analytics AI Data to anticipate future occurrences or scenarios and plan appropriately. This enables company executives to make better educated decisions based on Data patterns in the immediate and long term.

Predictive Analytics AI
Phoenix Intelligence can provide systems that can provide high-value forecasts in a variety of businesses and circumstances, such as:
  • Machine Data for Predictive Maintenance in Manufacturing and Automotive
  • Customer demand, sales forecasting and Churn Prediction in Retail and E-commerce
  • Cash-flow forecasting for strategic planning in Financial and Banking
  • Optimized campaign planning in Marketing and Advertising

Time-series prediction tool developed in-house Most of these common areas may be converted to Forstack.

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Advantages of Predictive Analytics
Predictive Analytics
How to Set Up a Predictive Analytics System

Here are some of the most important factors to consider

Data Gathering

Data Gathering

Through a proper Data pipeline, Time Series Data from previous occurrences linked to the use case is obtained and stored.

Pre-processing of data

Pre-processing of data

The Data is converted into a format that may be used to train a model. Data Annotation cleansing and organizing are examples of pre-processing.

Training of Model

Training of Model

Data that has been curated is used to train a model that learns a set of rules to anticipate how the Data will evolve in the future.

data output

Output

The model is capable of making precise predictions.