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What is Smart Operational Analytics?

What is the current status of my inventory for various items today? How frequently are we replenishing stock, and what are our delivery timelines? We experienced delays in shipping due to these factors. Is there an imbalance in inventory distribution, with excess stock in one location and shortages in another? Additionally, what is the lead time from my suppliers? These straightforward inquiries are part of our daily routine. The responses can uncover underlying issues within the supply chain and enhance its overall efficiency. However, obtaining these answers can be challenging since the necessary data is often confined within your ERP system and is only available through limited reporting formats or spreadsheets. Manually generating these reports in Excel requires importing data, reformatting it, and disseminating it to essential team members, which can consume precious planning resources. Consequently, this also leads to difficulties in keeping the information up to date, affecting our operational effectiveness. It is crucial to streamline this process to enhance visibility and responsiveness in our supply chain management.

What is NLREG?

NLREG is a sophisticated tool for statistical analysis that excels in both linear and nonlinear regression as well as curve and surface fitting. It effectively determines the most suitable parameter values for user-specified equations, ensuring optimal alignment with a dataset. With the ability to handle a wide range of function types, such as linear, polynomial, exponential, logistic, periodic, and a variety of general nonlinear forms, NLREG is distinctive as it can work with nearly any algebraic function defined by the user. In contrast to many existing nonlinear regression tools that limit users to a narrow set of functions, NLREG provides an extensive array of options. The program features a powerful programming language with a syntax similar to C, empowering users to define the functions they wish to fit while also allowing for the calculation of intermediate variables, conditional statements, and iterative loops. Moreover, NLREG enhances the ease of creating piecewise functions that can change format based on different intervals. The integration of arrays within the NLREG language further supports the implementation of tabular lookup methods to specify functions, thus offering even more flexibility for users in their analytical endeavors. Consequently, NLREG serves as an indispensable resource for statisticians and data analysts who aim to execute intricate fitting tasks effectively. Its comprehensive capabilities make it an essential tool in the field of statistical analysis.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

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

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

Company Facts

Organization Name

Smart Software

Date Founded

1981

Company Location

United States

Company Website

www.smartcorp.com

Company Facts

Organization Name

NLREG

Company Website

www.nlreg.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

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