Ratings and Reviews 0 Ratings
Ratings and Reviews 0 Ratings
Ratings and Reviews 0 Ratings
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What is NumXL?
NumXL is a comprehensive collection of Excel add-ins designed specifically for time series analysis. This powerful suite transforms your Microsoft Excel into an advanced econometrics tool, delivering statistical precision comparable to that of higher-priced software. Seamlessly integrated into Excel, NumXL provides a wealth of econometric functions, an extensive array of shortcuts, and user-friendly interfaces, facilitating a smooth analytical process. Among its numerous features are tools for generating summary statistics like Gini and Hurst indices, performing statistical tests such as normality and stationarity assessments, and executing various exponential smoothing methods, including Brown's, Holt's, and Winter's techniques. Additionally, it supports ARMA, ARIMA, SARIMA, and X12ARIMA models, as well as ARMAX and SARIMAX configurations. The suite also includes sophisticated GARCH, E-GARCH, and other volatility modeling options, making it a versatile choice for both novice and expert users alike. With NumXL, users can efficiently tackle complex time series challenges directly within Excel.
What is Lumenaut?
The Lumenaut Excel Add-In provides an impressive range of tools, such as Monte Carlo Analysis for conducting risk simulations, a Decision Tree function, and both Parametric and Non-Parametric statistical analyses, all integrated within Excel, making it suitable for diverse fields like business, engineering, and scientific research. Users can freely utilize the software for commercial purposes without any restrictions on its functionalities. The path to developing Lumenaut was filled with both obstacles and rewards, and we take immense pride in witnessing thousands of users enhance their analysis and decision-making processes. Nonetheless, given the current market landscape that does not favor further substantial investments in its development, we have opted to release Lumenaut to the community at no charge, fostering greater accessibility and usage. By making it available for free, we aspire for users to discover creative methods to amplify their analytical skills and capabilities. Our hope is that this decision will lead to a collaborative environment where users share insights and improvements.
What is Cricket Statz?
Cricket Statz provides a comprehensive online platform aimed at managing statistics and results for numerous cricket entities, such as national federations, leagues, associations, clubs, and individual teams. With access to over 120 statistical reports, this service can be utilized by multiple users without requiring any software downloads or installations. It is designed to work seamlessly on any device with internet connectivity, which includes PCs, Macs, laptops, tablets, and smartphones. Users have the option to either enter match scorecards manually or import them from various sources, including national governing bodies and scoring applications. The system is adept at electronically gathering scorecards, which allows for the entry of completed scorecards, historical data, or live match scores with detailed ball-by-ball commentary. Additionally, match outcomes and ladders can be published in real-time directly through a web browser interface. Cricket Statz's robust multi-user features permit an unlimited number of users to simultaneously access the platform, generating instant statistics and web pages that cover leagues, clubs, teams, and individual player performances. It also facilitates the input of historical data, enabling users to summarize statistics without the need to enter full scorecards, which adds to its efficiency as a cricket management tool. This extensive array of functionalities guarantees that cricket organizations can monitor and analyze their performance trends effectively over time, thereby enhancing their operational capabilities. Such features not only streamline the management process but also promote better engagement within the cricket community.
Integrations Supported
Microsoft 365
Microsoft Excel
Integrations Supported
Microsoft 365
Microsoft Excel
API Availability
Has API
API Availability
Has API
API Availability
Has API
Pricing Information
$25/user/month
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
SPIDER FINANCIAL CORP
Date Founded
2008
Company Location
United States
Company Website
numxl.com
Company Facts
Organization Name
Lumenaut
Company Website
lumenaut.com
Company Facts
Organization Name
Red Axe
Company Website
www.cricketstatz.com
Categories and 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
Categories and 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
Categories and 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