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Description
Cricket Statz offers an online platform designed to manage statistics and results for various cricket organizations, including national bodies, leagues, associations, clubs, and even individual teams. Featuring more than 120 statistical reports, this service is accessible to multiple users without the need for any software installation or downloads. It is compatible with any device that has internet access, whether it's a PC, Mac, laptop, tablet, or mobile phone. Users can input match scorecards directly or import them from numerous sources, such as national organizations and scoring applications. The system allows for the electronic collection of scorecards, enabling the entry of completed scorecards, historical summaries, or live scores complete with ball-by-ball commentary. Match results and ladders can be published in real-time directly from a web browser. With truly multi-user capabilities, Cricket Statz accommodates an unlimited number of users and generates real-time statistics and web pages covering leagues, clubs, teams, and individual players. It also provides support for historical data entry, allowing users to input summarized statistics without having to enter full scorecards, making it a highly efficient tool for cricket management. This comprehensive functionality ensures that cricket organizations can easily track and analyze their performance over time.
Description
SAS Visual Statistics allows for collaborative data exploration among multiple users, enabling them to interactively develop and refine predictive models. Data scientists and statisticians can leverage the most suitable analytical techniques to act on insights at a detailed level. Consequently, you will discover insights at remarkable speeds, uncovering new opportunities for revenue growth. The platform facilitates the construction and fine-tuning of models aimed at specific demographics or segments while simultaneously running various scenarios. This capability encourages users to pose numerous what-if questions to enhance outcomes. Additionally, results can be operationalized through automatically generated score code. Users are empowered to visually manipulate data by adding or adjusting variables, eliminating outliers, and more. Changes can be instantly assessed for their impact on the model's predictive accuracy, allowing for swift adjustments. Data science teams enjoy the ultimate flexibility by working in their preferred programming languages, maximizing their expertise. Ultimately, SAS Visual Statistics integrates all analytical resources, making it a comprehensive solution for data-driven decision-making. It fosters an environment where innovation can thrive, pushing the boundaries of what data analysis can achieve.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Red Hat OpenShift
SAS Analytics for IoT
SAS Data Science Programming
SAS Visual Data Science
SAS Visual Data Science Decisioning
SAS Visual Machine Learning
SAS Viya
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Red Hat OpenShift
SAS Analytics for IoT
SAS Data Science Programming
SAS Visual Data Science
SAS Visual Data Science Decisioning
SAS Visual Machine Learning
SAS Viya
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
Red Axe
Website
www.cricketstatz.com
Vendor Details
Company Name
SAS
Country
United States
Website
www.sas.com/en_us/software/visual-statistics.html
Product Features
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization
Product Features
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization