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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Utilize a robust suite of SAS technologies to access, manipulate, analyze, and present information through visual formats. By leveraging SAS Visual Machine Learning, organizations can enhance their analytical capabilities with integrated machine learning and deep learning features, which facilitate improved visualization and reporting practices. This approach allows users to visualize and uncover pertinent relationships within their data. Additionally, the platform supports the creation and sharing of interactive reports and dashboards, alongside enabling self-service analytics to swiftly evaluate potential outcomes, fostering smarter, data-driven decisions. Users can delve into their data and construct or modify predictive analytical models while operating within the SAS® Viya® environment. Collaborative efforts among data scientists, statisticians, and analysts enable iterative model refinement tailored to specific segments or groups, ensuring decisions are informed by precise insights. Moreover, this comprehensive visual interface simplifies the resolution of intricate analytical challenges, efficiently managing every aspect of the analytics lifecycle while promoting a more collaborative environment for all stakeholders involved.

Description

TAZI emphasizes achieving tangible business results and maximizing ROI through AI-driven predictions. Its platform is accessible to all business users, ranging from business intelligence analysts to executive leadership. With TAZI Profiler, users can quickly grasp and derive insights from their data sources that are ready for machine learning. Additionally, TAZI provides business dashboards and explanation models that facilitate understanding and validation of AI models prior to deployment. The system is designed to identify and forecast various operational subsets to enhance ROI optimization. Moreover, it streamlines the process of assessing data quality and extracting key statistics by automating the traditionally labor-intensive tasks associated with data discovery and preparation. TAZI also simplifies feature engineering by offering recommendations, including for complex features and data transformations, ensuring that users can harness the full potential of their data with ease. Ultimately, TAZI serves as a comprehensive solution for businesses looking to leverage AI effectively.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Microsoft 365 Yes 
Microsoft Excel Yes 
Microsoft Outlook Yes 
Microsoft PowerPoint Yes 
Microsoft Word Yes 
SAS Visual Statistics Yes 
SAS Viya Yes 

Integrations

Microsoft 365 No 
Microsoft Excel No 
Microsoft Outlook No 
Microsoft PowerPoint No 
Microsoft Word No 
SAS Visual Statistics No 
SAS Viya No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

SAS

Country

United States

Website

support.sas.com/en/software/visual-machine-learning.html

Vendor Details

Company Name

TAZI

Founded

2015

Country

United States

Website

www.tazi.ai/

Product Features

Data Visualization

Analytics No 
Content Management No 
Dashboard Creation No 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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