Amazon Forecast Features
What are the features of Amazon Forecast?
Statistical Tool
- Scripting
- Data Mining
- Algorithms
Data Analysis
- Analysis
- Data Interaction
Decision Making
- Modeling
- Data Visualizations
- Report Generation
- Data Unification
Top Rated Amazon Forecast Alternatives
(191)
4.6 out of 5
Visit Website
Sponsored
Amazon Forecast Categories on G2
Filter for Features
Statistical Tool
Scripting | Supports a variety of scripting environments 28 reviewers of Amazon Forecast have provided feedback on this feature. | 84% (Based on 28 reviews) | |
Data Mining | Based on 26 Amazon Forecast reviews. Mines data from databases and prepares data for analysis | 87% (Based on 26 reviews) | |
Algorithms | As reported in 30 Amazon Forecast reviews. Applies statistical algorithms to selected data | 86% (Based on 30 reviews) |
Data Analysis
Analysis | Based on 32 Amazon Forecast reviews. Analyzes both structured and unstructured data | 88% (Based on 32 reviews) | |
Data Interaction | Based on 30 Amazon Forecast reviews. Interacts with data to prepare it for visualizations and models | 82% (Based on 30 reviews) |
Decision Making
Modeling | Offers modeling capabilities This feature was mentioned in 28 Amazon Forecast reviews. | 81% (Based on 28 reviews) | |
Data Visualizations | As reported in 28 Amazon Forecast reviews. Creates data visualizations or graphs | 88% (Based on 28 reviews) | |
Report Generation | As reported in 29 Amazon Forecast reviews. Generates reports of data performance | 86% (Based on 29 reviews) | |
Data Unification | Unifies information on a singular platform This feature was mentioned in 28 Amazon Forecast reviews. | 86% (Based on 28 reviews) |
Integration - Machine Learning
Integration | Supports integration with multiple data sources for seamless data input. | Not enough data |
Learning - Machine Learning
Training Data | Enhances output accuracy and speed through efficient ingestion and processing of training data. | Not enough data | |
Actionable Insights | Generates actionable insights by applying learned patterns to key issues. | Not enough data | |
Algorithm | Continuously improves and adapts to new data using specified algorithms. | Not enough data |
