Average Ratings 1 Rating
Average Ratings 0 Ratings
Description
SAS/STAT offers precise methods tailored for small datasets, powerful statistical modeling capabilities suitable for large-scale data, and contemporary techniques for handling missing data. Additionally, the software undergoes frequent updates, allowing users to leverage the latest advancements in the ever-evolving statistics domain. With a legacy spanning over forty years in creating cutting-edge statistical analysis tools, SAS has built a strong reputation for providing outstanding and dependable outcomes. The rigorous quality assurance and testing procedures ensure that each software release meets high standards. Users can trust that the code generated with SAS/STAT complies with both corporate and governmental regulations, ensuring reliability. Furthermore, a wide array of customizable charts and graphs is available, promoting clarity in statistical outputs and making the results of your analyses straightforward and accessible. This combination of features makes SAS/STAT an invaluable resource for statisticians and data analysts alike.
Description
Empowering business users with the intuitive interface of a spreadsheet combined with the robust capabilities of a business intelligence tool is essential. Traditionally, business intelligence has been associated with the necessity of specialized knowledge, substantial financial investment, and lengthy implementation periods. Although BI tools boast impressive dashboards, they often fall short in reporting, leading users to revert to spreadsheets for their data needs. StarLifter offers a comprehensive solution for all your data analysis requirements in a single platform. While point solutions are designed to address specific challenges within individual departments, they ultimately hinder cross-functional analysis, which frequently ends up back in spreadsheets. By resolving departmental issues and enhancing data analysis across the organization, you can eliminate reliance on delicate formulas and intricate calculations that only a select few comprehend. Moreover, with user-friendly drag-and-drop features, you can achieve a more streamlined and simplified analysis process, making data insights accessible to everyone. This ensures that all stakeholders can engage with data efficiently and effectively, fostering collaboration and informed decision-making throughout the enterprise.
API Access
Has API
No
API Access
Has API
No
Integrations
DDN WOS
No
TIMi
No
Pricing Details
No price information available.
Free Trial
No
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
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
SAS Institute
Founded
1976
Country
United States
Website
www.sas.com/en/software/stat.html
Vendor Details
Company Name
StarLifter
Country
United States
Website
www.starlifter.io
Product Features
Data Analysis
Data Discovery
Yes
Data Visualization
Yes
High Volume Processing
Yes
Predictive Analytics
No
Regression Analysis
Yes
Sentiment Analysis
No
Statistical Modeling
Yes
Text Analytics
No
Product Features
Business Intelligence
Ad Hoc Reports
No
Benchmarking
No
Budgeting & Forecasting
No
Dashboard
No
Data Analysis
No
Key Performance Indicators
No
Natural Language Generation (NLG)
No
Performance Metrics
No
Predictive Analytics
No
Profitability Analysis
No
Strategic Planning
No
Trend / Problem Indicators
No
Visual Analytics
No
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No