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Average Ratings 0 Ratings
Description
Amazon SageMaker Canvas democratizes access to machine learning by equipping business analysts with an intuitive visual interface that enables them to independently create precise ML predictions without needing prior ML knowledge or coding skills. This user-friendly point-and-click interface facilitates the connection, preparation, analysis, and exploration of data, simplifying the process of constructing ML models and producing reliable predictions. Users can effortlessly build ML models to conduct what-if scenarios and generate both individual and bulk predictions with minimal effort. The platform enhances teamwork between business analysts and data scientists, allowing for the seamless sharing, reviewing, and updating of ML models across different tools. Additionally, users can import ML models from various sources and obtain predictions directly within Amazon SageMaker Canvas. With this tool, you can draw data from diverse origins, specify the outcomes you wish to forecast, and automatically prepare as well as examine your data, enabling a swift and straightforward model-building experience. Ultimately, this capability allows users to analyze their models and yield accurate predictions, fostering a more data-driven decision-making culture across organizations.
Description
Make informed decisions by efficiently testing and modeling intricate business assumptions, whether in the cloud or on-premises. Oracle Essbase empowers organizations to swiftly extract insights from multidimensional datasets through what-if analyses and data visualization tools. Forecasting both company and departmental performance becomes a straightforward task, enabling the development and management of analytic applications that leverage business drivers to simulate various what-if scenarios. Users can oversee workflows for multiple scenarios all within a unified interface, simplifying submissions and approvals. The sandboxing features allow for rapid testing and evaluation of models, ensuring the best-suited model is chosen for production. Additionally, financial and business analysts benefit from over 100 ready-to-use mathematical functions that can be effortlessly implemented to generate new data insights. This comprehensive approach enhances the strategic capabilities of organizations, ultimately driving better performance outcomes.
API Access
Has API
API Access
Has API
Integrations
Amazon SageMaker
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
DeltaMaster
FairPlanner
Longview Tax
Oracle Cloud EPM Narrative Reporting
Oracle Cloud Infrastructure
Style Intelligence
Integrations
Amazon SageMaker
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
DeltaMaster
FairPlanner
Longview Tax
Oracle Cloud EPM Narrative Reporting
Oracle Cloud Infrastructure
Style Intelligence
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/sagemaker/ai/canvas/
Vendor Details
Company Name
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/business-analytics/essbase.html
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Product Features
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery