Alternatives to NXG Logic Explorer

TIMi allows companies to use their corporate data to generate new ideas and make crucial business decisions more quickly and easily than ever before. The heart of TIMi’s Integrated Platform. TIMi's ultimate real time AUTO-ML engine. 3D VR segmentation, visualization. Unlimited self service business Intelligence. TIMi is a faster solution than any other to perform the 2 most critical analytical tasks: data cleaning, feature engineering, creation KPIs, and predictive modeling. TIMi is an ethical solution. There is no lock-in, just excellence. We guarantee you work in complete serenity, without unexpected costs. TIMi's unique software infrastructure allows for maximum flexibility during the exploration phase, and high reliability during the production phase. TIMi allows your analysts to test even the most crazy ideas.

SPC for Excel, a simple but powerful package, to handle all your SPC and statistical analysis needs. SPC for Excel software allows you to identify problem areas, gain insight into your data, spot trends and solve problems. All this in Excel. From the novice to the black belt, SPC for Excel will facilitate your process improvement efforts – in any industry – profit or non-profit. Get all the techniques you need for your charting and analysis – including Pareto diagrams, Histogram, Control Charts, Gage R&R, Process Capability, Distribution Fitting, Data Transformation, Regression, DOE, Hypothesis Testing, and more! One time payment – yours forever. Two downloads per user and free Technical support. Try out our Demo – see how easy it is! Process Capability analysis - to meet customer needs Control charts and histograms - to manage processes Gage R&R Studies – To validate your measurement system Problem Solving Tools (Pareto and histogram, scatter, etc.) - to help your group solve problems Advanced Data Analysis Tools (DOE and ANOVA, distribution fittings, regression, hypotheses testing and more) are available to meet your advanced requirements.

Our namesake product, Minitab Statistical Software, leads the way in data analysis with the power to visualize, analyze and harness your data to gain insights and solve your toughest challenges. Access trusted, proven and modern analytics combined with dynamic visualizations to empower you and your decisions. The latest version of Minitab Statistical Software includes access to Minitab on the cloud so you can analyze from anywhere, and Graph Builder, our new interactive tool to instantly create multiple graph options at once. Minitab offers modules for Predictive Analytics and Healthcare to boost your analytics even further. Available in 8 languages: English, Chinese, French, German, Japanese, Korean, Spanish, and Portuguese. For 50 years, Minitab has helped thousands of companies and institutions spot trends, solve problems, and discover valuable insights in their data through our comprehensive, best-in-class suite of data analysis and process improvement tools.

DigitalClone®, for Engineering is the only software that integrates multiple scales of analysis into a single package. It is the world's best gearbox reliability prediction tool. DC-E, in addition to the modeling and analysis capabilities at the level of the gearbox and the gear/bearing, is the only software that models fatigue life using detailed, physics-based models (US Patent 10474772B2). DC-E allows the construction of a digital twin of a gearbox. This includes all stages of the asset's lifecycle, from design and manufacturing optimization to supplier selection to failure root cause analysis to condition based maintenance and prognostics. This computational environment reduces the time and cost of bringing new designs to market and maintaining them over time.

In a secure and manageable setting, users can swiftly derive insights from their data. Data can be collected in various formats and types, enabling the creation of new variables and the selection of specific cases of interest. Through effective data analysis techniques, both numerical and categorical variables can be thoroughly examined and analyzed. Results can be presented either in tabular form or through graphical representations. Additionally, users can investigate the relationships between different variables and assess the significance of these relationships. Various statistical tests, such as Pearson and Spearman correlations, Chi-Square tests, T-Tests for independent samples, Mann-Whitney, ANOVA, and Kruskal-Wallis, can be employed to achieve this. Moreover, the most commonly used measures of scale reliability can be easily selected and calculated. One can also verify the consistency of dimensions in the dataset. Utilizing measures like Cronbach's Alpha—both raw and standardized, with or without item deletion—Guttman’s six, and Intraclass correlation coefficients (ICC), provides further insights into the reliability of the data. This comprehensive approach ensures a thorough understanding of the data's structure and relationships.

Experience the robust statistical modeling and analysis capabilities typically found in high-end statistics software. This package encompasses a wide range of techniques including multiple regression and model fitting, ANOVA, ANCOVA, multiple comparisons, principal component analysis (PCA), factor analysis, and hypothesis testing, along with various tools for exploratory data analysis. It also features statistical process control and quality enhancement tools that help fulfill customer needs and ensure satisfaction. Furthermore, it enables compliance with regulatory standards through thorough analytical and diagnostic method validation and verification. Enjoy all the advanced functionalities of Analyse-it, integrating the best features from other versions. With over 25 years of experience in developing statistical software, we have established a strong reputation for quality and have collaborated with numerous prominent companies due to our proven track record. Our commitment to innovation and excellence keeps us at the forefront of the industry, ensuring our users have access to the latest advancements in statistical analysis.

ndCurveMaster, a specialized curve fitting software, is designed to fit curves with multiple variables. It automatically applies nonlinear equations to your datasets. These can be observed or measured values. The software supports curve and surfaces fitting in 2D 3D 4D 5D ..., dimensions. ndCurveMaster is able to handle any data, no matter how complex or how many variables there are. ndCurveMaster, for example, can efficiently derive the optimal equations for a dataset that has six inputs (x1-x6) and a corresponding output Y. For example: Y = a0 - a1 - exp(x1)0.5 + a2 ln(x2)8... + a6 x65.2 to accurately match measured value. ndCurveMaster uses machine learning numerical methods to automatically fit the most suitable nonlinear regression function to your dataset, and discover the relationships between inputs and outputs. This tool supports various curve fitting methods, including linear, polynomial, and nonlinear methods. It also utilizes essential validation and goodness-of-fit tests to ensure accuracy. Additionally, ndCurveMaster provides advanced assessments, such as detecting overfitting and multicollinearity, using tools like the Variance Inflation Factor (VIF) and the Pearson correlation matrix.

If you're a researcher seeking to analyze data without being an expert in statistics, Statistix is the perfect solution for you. You can get started in just a few minutes—no programming skills or manual reading required! This user-friendly software is designed to save you both time and resources. Offering a comprehensive suite of both fundamental and advanced statistical tools, Statistix provides everything you need in one cost-effective package. It features robust data manipulation capabilities, compatibility for importing and exporting Excel and text files, as well as an array of statistical methods such as linear models (including linear and logistic regression, Poisson regression, and ANOVA), nonlinear regression, nonparametric tests, time series analysis, association tests, survival analysis, quality control, power analysis, and much more. With Statistix, managing and analyzing your data becomes an accessible and efficient process.

Oriana for Windows is specifically designed to compute the unique statistics needed for circular data, such as angles or directions expressed in degrees, as well as time-related data like the hours of the day, days of the week, and months of the year. The software provides a range of analytical tools that encompass fundamental statistics, including mean vector calculations and confidence intervals, along with single sample distribution tests like Rayleigh's test, as well as pairwise and multisample assessments such as the Watson-Williams F-Test and chi-squared tests, in addition to examining pairwise correlations. Additionally, it offers various graphical representations of your data, such as rose diagrams, circular histograms, and wind roses, which help in revealing underlying patterns effectively. If your work involves analyzing directional data measured in degrees or you are investigating cyclical occurrences throughout the day, week, month, or year, then you are dealing with circular data that necessitates specialized statistical methods. Therefore, Oriana serves as an essential tool for anyone looking to delve into this type of analysis and visualize their findings clearly. By utilizing Oriana, researchers can uncover significant trends and insights from their circular datasets.

SmartstatXL: Comprehensive Statistical Analysis Within Excel. Harness the complete capacity of your data using SmartstatXL, an Excel add-in that effortlessly incorporates advanced statistical analysis into your well-known spreadsheet platform. This innovative tool aims to streamline your data evaluation workflow by merging the powerful features of statistical software with the user-friendly nature of Excel. Noteworthy Characteristics of SmartstatXL: • Seamless Excel Integration: Conduct intricate data evaluations right inside Excel. SmartstatXL’s seamless integration enables you to utilize Excel’s capabilities while accessing sophisticated statistical tools, eliminating the hassle of toggling between different software. • Broad Range of Analytical Tools: SmartstatXL is packed with an extensive selection of features that cater to various analytical needs, including Descriptive Statistics, Normality Tests, Hypothesis Tests (like t-Tests and z-Tests), and advanced techniques such as Correlation, Regression, ANOVA, Time Series Analysis, Reliability Assessments, Factor Analysis, PCA, and Discriminant Analysis, ensuring all your statistical needs are met efficiently. With SmartstatXL, you can elevate your data analysis to new heights without sacrificing the comfort of your existing tools.

RiskAMP is a comprehensive Monte Carlo simulation engine designed specifically for Microsoft Excel®, allowing for seamless integration with the software's interface and functions. The RiskAMP Add-in provides an extensive toolkit for incorporating risk analysis into spreadsheet models, streamlining the process while remaining more affordable than many competing options. Featuring a user-friendly integrated ribbon toolbar and support for VBA scripting, it also automatically generates charts and graphs. With the release of RiskAMP 6, new features have been added, including the PERT distribution for project and cost modeling, over 40 random distributions—including those that are correlated and multivariate—and automatic generation of histogram and correlation charts. The tool accommodates Latin Hypercube sampling, Las Vegas simulation algorithms, and distribution fitting, while also offering native compatibility with Windows on ARM architecture. RiskAMP is suitable for use with Excel versions ranging from 2013 to 365, whether in 32-bit or 64-bit formats, and users can also access a web-based risk platform known as RiskAMP Web. This versatility ensures that a wide range of users can benefit from enhanced risk analysis capabilities in their Excel applications.

Introducing an exceptionally user-friendly scoring system specifically designed for small to medium-sized credit institutions, crafted by scoring specialists. This tool delivers precisely what you need for effective real-time scoring, focusing solely on scoring without any outdated, complicated features. It boasts the most favorable cost-to-value ratio available in the industry and can be operational within just a few days. Thanks to its intuitive wizard-based scorecard modeling interface, users find it easy to navigate. You can also monitor and validate scorecards with a selection of pre-defined reports. The system incorporates Reject Inference through both automated and manual methods, alongside automated binning utilizing chi-square techniques and manual binning based on Weight of Evidence (WOE). Additionally, it offers both automatic and manual sampling options, along with graphical statistics to visualize data insights. Users can filter, sort, and reassign portfolio data into “Good” and “Bad” categories, while numeric variables can easily be transformed into categorical forms. Furthermore, it provides correlation coefficients for each variable pair, both before and after the binning process, ensuring comprehensive analysis and understanding of the dataset. With this robust scoring system, credit organizations can enhance their decision-making processes efficiently.

Number Analytics is a web-based statistical software that can be used for marketing research. It has an easy-to-use interface and works on the cloud. It offers basic statistical analysis such as t-test, ANOVA and regression analysis. There are also more marketing-focused applications like choice based conjoint analyses and perceptual mapping.

Automated variable selection helps to pinpoint essential variables along with their interactions, while effective visualization techniques enhance understanding of data and model behaviors. Additionally, the execution of batch commands complements SQL queries and dataset exploration. Pre-processing and post-processing steps are crucial for variable creation and output constraints, among other tasks. Models can be readily deployed through ActiveX (i.e., OCX) controls or DLLs, making implementation straightforward. The suite of advanced modeling algorithms encompasses regression, neural networks, self-organizing maps, dynamic clustering, decision trees, fuzzy logic, and genetic algorithms. Predictive Dynamix offers robust computational intelligence software that serves a wide array of applications, including forecasting, predictive modeling, pattern recognition, classification, and optimization, catering to various industries. Leveraging modern neural network technologies, these solutions provide powerful mechanisms for tackling complex challenges in forecasting and pattern recognition. Multi-layer perceptron neural networks are particularly noteworthy for their architecture, enabling multiple coefficients for each input variable, thus enhancing the model's adaptability and accuracy. This versatility in neural network design is crucial for addressing the diverse needs of contemporary data analysis challenges.

With a focus on transforming your concepts into reality, Altair Compose facilitates data analysis, algorithm development, and model creation. This versatile environment is equipped for performing mathematical calculations, data manipulation, visualization, and script programming while also supporting debugging for repetitive tasks and process automation. Users can engage in a wide range of mathematical functions such as linear algebra, matrix manipulation, statistical analysis, differential equations, signal processing, control systems, polynomial fitting, and optimization techniques. The extensive collection of native CAE and test result readers streamlines system comprehension and integrates seamlessly with Altair Activate® to enhance model-based development for both multi-domain and system of systems simulations. Furthermore, Altair Embed® enriches the model-based design ecosystem with capabilities for automated code generation, which enables thorough testing and verification of embedded systems, ensuring reliability and performance in various applications. This comprehensive suite of tools empowers users to innovate and optimize their projects effectively.

GeneXproTools, an award-winning product from Microsoft, is a highly adaptable modeling software that caters to various needs such as regression, logistic regression, classification, time series forecasting, and logic synthesis. Its user-friendly interface allows users to easily import data and generate models with a single click of the Start button. The software comes in five different versions: Home, Standard, Advanced, Professional, and Enterprise, with discounted Academic Versions offered to educational institutions and students. Capable of handling datasets comprising tens of thousands of variables, GeneXproTools excels at identifying and extracting key features and their interconnections. Furthermore, it simplifies access to a wide range of data sources, including raw text files, databases, and Excel spreadsheets, making it accessible even to those without programming experience. This powerful tool empowers users to create robust and precise models without needing any coding knowledge, ensuring that anyone can harness its capabilities.

The newest version of the free software MCM Alchimia has been designed to facilitate the estimation of measurement uncertainty and calibrations using the Monte Carlo method in accordance with JCGM 101. In this update, a comprehensive GUM framework uncertainty budget has been introduced, and similar to the previous version, it maintains support for correlated quantities and regression curves. Additionally, it boasts a speed enhancement that rivals well-known calculation and statistics programs. Users can perform simulations using direct, inverse, and total least squares methods, offering versatility in analysis. Furthermore, there is a custom application language available through an external module, allowing for tailored functionality. The output report provides a thorough statistical analysis of the simulations conducted, ensuring users have detailed insights into their results. This release significantly enhances the usability and efficiency of the application for professionals in the field.

IBM®, SPSS®, Amos is an advanced structural equation modeling software that extends standard multivariate methods such as regression, factor analysis and correlation. It also allows you to perform analysis of variance. Create behavioral and attitude models that reflect complex relationships more accurately using a graphical or programmatic interface. Amos is included with the Premium edition of SPSS Statistics, except for the Campus edition where it is sold separately. Amos is available as part of SPSS Statistics' base, standard, and professional editions, or as a standalone application.

A premier solution for modeling, forecasting, and enhancing processes through multivariate statistical analysis and engaging visual representations. Accelerate product development, elevate quality, and refine processes by simplifying the analysis of extensive data sets more efficiently than previously possible. Achieve quicker and more precise solutions to practical challenges by examining diverse data types to enhance product creation, quality assurance, and manufacturing operations. Utilize advanced multivariate statistical analysis techniques, specifically designed for spectroscopy and chemometrics, to gain insights. Import material, sensor, process, and spectral data in various formats, complemented by easy-to-use features for plotting, preprocessing, and modeling spectral information. Ensure superior product classification to maintain consistent quality across offerings. Enhance productivity and simplify every stage of the analytical process with streamlined project-based workflows. Additionally, utilize compliance features such as digital signatures, password protection, and audit trails to adhere to regulations including 21 CFR Part 11 and EU Annex 11, ensuring your processes meet industry standards. This comprehensive tool empowers organizations to make informed decisions, fostering innovation and operational excellence throughout.

NLREG is an advanced statistical analysis tool designed for both linear and nonlinear regression analysis, as well as for fitting curves and surfaces. It identifies the optimal values of parameters for a user-defined equation, ensuring that it best aligns with a given set of data points. Capable of managing various function types, including linear, polynomial, exponential, logistic, periodic, and more general nonlinear forms, NLREG stands out because it can accommodate nearly any algebraically specified function. Unlike many other nonlinear regression tools that are restricted to a limited selection of functions, NLREG offers a comprehensive range of possibilities. The program incorporates a robust programming language with a syntax akin to C, allowing users to define the function to be fitted while enabling the computation of intermediate variables, the use of conditionals, and the implementation of iterative loops. Furthermore, NLREG simplifies the creation of piecewise functions that can adapt their form across different ranges. Additionally, the inclusion of arrays in the NLREG language facilitates the use of tabular lookup methods to designate the function, providing even greater flexibility for users in their analyses. Overall, NLREG is an invaluable asset for statisticians and data analysts seeking to conduct complex fitting tasks.

Cornerstone data analysis software enhances the efficiency of designing experiments and exploring data while allowing users to analyze dependencies and derive actionable insights immediately and interactively, all without requiring programming skills. It facilitates an engineer-friendly approach to executing statistical tasks, freeing users from the complexities of statistical intricacies. The software enables quick detection of correlations within data, even when operating within a Big Data framework. By employing statistically optimized experimental designs, it minimizes the number of experiments needed and accelerates the overall development process. Additionally, it supports rapid identification of usable process models and root-cause analysis through exploratory and visual data examination. Structured planning, efficient data collection, and thorough result analysis further optimize the experiments conducted. Users can easily investigate the impact of noise in process variables on the corresponding responses, and the software automatically captures compact, reusable workflows for future use, making it an invaluable tool for data-driven decision-making. Ultimately, Cornerstone empowers users to streamline their data analysis and experiment processes significantly.

DataMelt, or "DMelt", is an environment for numeric computations, data analysis, data mining and computational statistics. DataMelt allows you to plot functions and data in 2D or 3D, perform statistical testing, data mining, data analysis, numeric computations and function minimization. It also solves systems of linear and differential equations. There are also options for symbolic, non-linear, and linear regression. Java API integrates neural networks and data-manipulation techniques using various data-manipulation algorithms. Support is provided for elements of symbolic computations using Octave/Matlab programming. DataMelt provides a Java platform-based computational environment. It can be used on different operating systems and programming languages. It is not limited to one programming language, unlike other statistical programs. This software combines Java, the most widely used enterprise language in the world, with the most popular data science scripting languages, Jython (Python), Groovy and JRuby.

EngineRoom facilitates process enhancement through an extensive array of problem-solving resources. It integrates various graphical, statistical, and modeling instruments that aid in the organization and management of your projects. You can scrutinize your data, oversee projects, and design and map processes effectively. With EngineRoom’s user-friendly drag-and-drop interface, the typically challenging learning curve associated with desktop data analysis tools is significantly reduced. The platform also features interactive, patented wizards that guide users through hypothesis testing and design of experiments (DOE), ensuring accurate data analysis and clear reporting of findings. Additionally, there is no need for installation on individual desktops, management of complex licensing files, or dedicated hard drive space, allowing for immediate access to the platform. By logging into your account through any web browser, you can easily access your projects from anywhere, and when you revisit them, your data and results remain intact just as you left them. This seamless accessibility makes it convenient for users to continue their work without interruption, enhancing productivity and efficiency in project management.

NeoAnalyst is an advanced AI-driven platform for data analysis that empowers business executives to obtain swift and accurate insights without needing to possess programming skills or data science knowledge. By allowing users to upload any dataset, NeoAnalyst automatically constructs context, eliminating the need for detailed user guidance or manual data organization. The platform is equipped with hundreds of pre-existing models tailored for both exploratory and statistical analysis, and it also includes 25 AI-generated queries to assist users in initiating their analytical processes. With features such as predictive analytics, visually engaging data representations, and customized recommendations, it significantly enhances the decision-making capabilities of its users. Furthermore, NeoAnalyst offers a variety of subscription options, including a complimentary tier for individuals, making it accessible to professionals from diverse fields. This versatility ensures that the platform can effectively streamline the data analysis workflow for users in numerous industries, ultimately driving better business outcomes.

This econometric modeling software features an intuitive interface accompanied by one of the most extensive collections of data management tools, enabling you to swiftly and effectively formulate statistical and forecasting equations. You can take advantage of top-notch capabilities such as support for 64-bit Windows large memory, object linking and embedding (OLE), as well as smart edit windows. The software allows for rapid analysis of time series, cross-section, and longitudinal data, making statistical and econometric modeling more efficient. In addition, it enables you to create presentation-quality graphs and tables, facilitating superior budgeting, strategic planning, and academic research. The inclusion of context-sensitive menus enhances usability, while the batch programming language and tools for add-ins or user objects expand functionality. With full command line support and drag-and-drop features, generating forecasts and model simulations becomes a straightforward task. Moreover, EViews 12 continues to deliver the power and ease-of-use that users have come to rely on, ensuring that both beginners and advanced users can maximize their productivity. Its robust capabilities make it an invaluable asset for professionals across various fields.

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.

Deep Talk provides a rapid solution for converting text from various sources such as chats, emails, surveys, reviews, and social media into actionable business intelligence. Our user-friendly AI platform allows you to delve into customer communications effortlessly. Utilizing unsupervised deep learning models, we analyze your unstructured text data to uncover valuable insights. Our specialized "Deepers" are pre-trained deep learning models designed for customized detection within your information. With the "Deepers" API, you can perform real-time text analysis and tag conversations or text effectively. This enables you to connect with individuals who are interested in your product, seek new features, or voice their concerns. Furthermore, Deep Talk delivers cloud-based deep learning models as a service, making it simple for users to upload their data or integrate with supported services. By doing so, you can extract comprehensive insights and valuable information from platforms like WhatsApp, chat discussions, emails, surveys, and social networks. This transformative approach ensures that your business can stay ahead by understanding customer needs and sentiments with ease.

The QMSys GUM Software is designed for assessing the uncertainty inherent in physical measurements, chemical analyses, and calibration processes. It employs three distinct methodologies to compute measurement uncertainty. The first, GUF Method for linear models, targets linear and quasi-linear models, aligning with the GUM Uncertainty Framework. This approach calculates partial derivatives, representing the initial terms of a Taylor series, to ascertain sensitivity coefficients for the equivalent linear model, followed by the determination of combined standard uncertainty using the Gaussian error propagation law. The second, GUF Method for nonlinear models, caters to nonlinear models where results exhibit symmetric distribution. This method incorporates various numerical techniques, including nonlinear sensitivity analysis and higher-order sensitivity indices, as well as quasi-Monte Carlo simulations utilizing Sobol sequences. With its multifaceted approach, the software provides comprehensive tools for uncertainty analysis across different measurement contexts.

FlexSim allows you to answer any question about your company with accuracy. It is a powerful simulation tool that was built from the ground up to make simulation simple and easy without sacrificing any functionality or visual appeal. With drag-and-drop controls, easy-to-use features, you can create stunning, detailed models that produce results but make an impact like charts or spreadsheets.

XLfit® is an add-in for Microsoft® Excel designed for Windows that integrates advanced scientific mathematics and statistical analysis directly into the familiar Excel environment, complete with robust charting features. Recognized as a premier statistical and curve fitting tool, XLfit is trusted by top organizations in the pharmaceutical, chemical, engineering sectors, and academic research, with validation from the National Physical Laboratory (NPL). Users can access a library of over 70 pre-built models for both linear and nonlinear curve fitting, accommodating the needs of experiments in drug discovery and related fields. In addition to these standard models, XLfit allows the addition of an unlimited number of custom user-defined models. The software offers capabilities such as linear and nonlinear modeling, as well as interactive 2D and 3D charting, facilitating features that are essential for scientists. With its comprehensive set of tools, XLfit empowers researchers to effectively analyze and visualize their data.

Develve is a statistical software designed for the quick and straightforward analysis of experimental data within scientific and research settings, making it especially beneficial for both novice and experienced users. This package not only streamlines analysis but also minimizes the risk of erroneous conclusions. It prioritizes user-friendliness by eliminating complex hidden menus, ensuring that users can easily access all features and see results instantly, thereby enhancing overall efficiency. For example, users can seamlessly scroll through result graphs, and a simple click will enlarge them for better visibility. Develve also provides clear indications of significant differences between variables and assesses the adequacy of sample sizes to avoid misleading assumptions. It supports the Design of Experiments by assisting in the creation of test matrices and detects any imbalances among factors. Consequently, this software is instrumental in developing robust, high-quality products, establishing it as an invaluable tool in Six Sigma methodologies, and ultimately contributing to improved research outcomes and product success.

Effortlessly combine COMSOL Multiphysics® with MATLAB® to broaden your modeling capabilities through scripting within the MATLAB framework. The LiveLink™ for MATLAB® feature empowers you to access the comprehensive functionalities of MATLAB and its various toolboxes for tasks such as preprocessing, model adjustments, and postprocessing. Elevate your custom MATLAB scripts by integrating robust multiphysics simulations. You can base your geometric modeling on either probabilistic elements or image data. Furthermore, leverage multiphysics models alongside Monte Carlo simulations and genetic algorithms for enhanced analysis. Exporting COMSOL models in a state-space matrix format allows for their integration into control systems seamlessly. The COMSOL Desktop® interface facilitates the utilization of MATLAB® functions during your modeling processes. You can also manipulate your models via command line or scripts, enabling you to parameterize aspects such as geometry, physics, and the solution approach, thus boosting the efficiency and flexibility of your simulations. This integration ultimately provides a powerful platform for conducting complex analyses and generating insightful results.

PolyAnalyst, a data analysis tool, is used by large companies in many industries (Insurance Manufacturing, Finance, etc.). It uses a visual composer to simplify complex data analysis modeling instead of programming/coding. This is one of its most distinctive features. It can combine structured and poly-structured data for unified analysis (multiple-choice questions and open ended responses), and it can process text data from over 16+ languages. PolyAnalyst provides many features to meet comprehensive data analysis requirements, including the ability to load data, cleanse and prepare data for analysis, deploy machine learning and supervised analytics techniques, and create reports that non-analysts may use to uncover insights.

Beautiful dashboards and reports are available in BI tools that allow users to examine patterns in historical data. Past data can provide insights. It cannot be prescriptive. Model-Driven decision making is the only way to get a better understanding of what could happen in unusual situations and how to make it happen. Analytica is an innovative visual software environment that allows you to build, explore, and share quantitative decision models that produce prescriptive results. Transcend cumbersome spreadsheets. Analytica's flexibility, power, flexibility, and clarity are a revelation. Analytica makes it easy to create transparent models in fractions of the time required for procedural languages such as R or Python. Analytica provides insights, not just numbers. Agile modeling can be used to create models that support business decision-making. Probabilistic simulations are efficient and accurate in estimating risk and uncertainty. Smart sensitivity analysis reveals what is important and why.

ASReml-SA is a robust statistical software specifically tailored for mixed models that utilize Residual Maximum Likelihood (REML) for parameter estimation. Linear mixed-effects models serve as a versatile and comprehensive method for analyzing numerous datasets frequently encountered in fields such as animal, plant, and aquatic breeding, as well as in agriculture, environmental sciences, and medical research. The newest version, ASReml-SA 4.2, boasts three times the memory capacity of its predecessor 4.1, allowing for significantly larger analytical tasks to be performed. With enhancements in parallel processing and the capability to allocate memory for specific operations, the software has also seen improvements in speed; a comparison table is provided below to illustrate the speed enhancements realized across various analyses. ASReml-SA 4.2 not only accelerates processing but also offers users the potential for optimized performance tailored to their specific hardware and analytical needs. Ultimately, these advancements reflect ASReml-SA's commitment to facilitating efficient and effective data analysis.

A platform for Machine Learning and Predictive Analytics enhances data-driven decision-making and propels business growth through sophisticated artificial intelligence within an integrated machine learning and big data analytics framework. OpenText Magellan leverages AI technologies to deliver predictive analytics through user-friendly and adaptable data visualizations that enhance the utility of business intelligence. The implementation of artificial intelligence software streamlines the big data processing task, providing essential business insights in a format that aligns with the organization’s most significant goals. By enriching business operations with a tailored combination of features such as predictive modeling, data exploration tools, data mining methods, and IoT data analytics, companies can effectively utilize their data to refine their decision-making processes based on actionable business intelligence and analytics. This comprehensive approach not only improves operational efficiency but also fosters a culture of data-driven innovation within the organization.

Altair is utilized by data scientists and business analysts to extract actionable insights from their datasets. Knowledge Studio offers a leading, user-friendly machine learning and predictive analytics platform that swiftly visualizes data while providing clear, explainable outcomes without necessitating any coding. As a prominent figure in analytics, Knowledge Studio enhances transparency and automates machine learning processes through features like AutoML and explainable AI, all while allowing users the flexibility to configure and fine-tune their models, thus maintaining control over the building process. The platform fosters collaboration throughout the organization, enabling data professionals to tackle intricate projects in a matter of minutes or hours rather than dragging them out for weeks or months. The results produced are straightforward and easily articulated, allowing stakeholders to grasp the findings effortlessly. Furthermore, the combination of user-friendliness and the automation of various modeling steps empowers data scientists to create an increased number of machine learning models more swiftly than with traditional coding methods or other available tools. This efficiency not only shortens project timelines but also enhances overall productivity across teams.

GAMS, which stands for General Algebraic Modeling System, is a premier software for mathematical modeling praised for its exceptional performance, scalability, and user-friendly interface. With the recent launch of GAMSPy, users can now seamlessly merge GAMS functionalities with Python, thus enhancing the efficiency and versatility of model development within the Python environment. The platform's algebraic modeling language greatly simplifies the formulation of optimization challenges, leading to optimal outcomes through the use of advanced mathematical solvers. Furthermore, GAMS MIRO introduces intuitive graphical interfaces for managing GAMS models, supporting both local and cloud-based deployment alongside sophisticated visualization tools. For those seeking scalable solutions, the GAMS Engine provides a dependable software as a service (SaaS) option, making it possible to execute models either on local servers or in the cloud. In addition to these features, GAMS is committed to supporting its users through various workshops, training sessions, and consulting services, aimed at enhancing their ability to create, refine, and implement effective decision-support systems. This comprehensive approach ensures that users are well-equipped to leverage GAMS to its fullest potential, fostering innovation and efficiency in their modeling endeavors.

Decision Analyst provides complimentary software tools for marketing researchers, including STATS™ 2.0 and ChoiceModelR™. The company has been acknowledged as the top Research Agency in the U.S. by Corporate Buyers, achieving first place in categories such as Overall Satisfaction, Data Quality, Analytical Skills, and On-Time Delivery. Effectively segmenting a market involves not only recognizing the differences between segments but also knowing how to utilize that information practically. Predicting audience reactions to advertisements is inherently uncertain; without thorough research, it becomes merely speculation. CopyTest® is designed to eliminate the uncertainty surrounding advertising effectiveness. By integrating qualitative insights with quantitative analysis, Decision Analyst empowers businesses to refine and enhance their marketing strategies. Additionally, the often-overlooked aspect of distribution plays a crucial role in formulating successful strategies, highlighting its significance in achieving overall marketing success. Understanding the complete marketing framework can lead to more informed decision-making and improved outcomes.

NumXL is a suite time series Excel add-ins. It turns your Microsoft Excel application into a top-class time series software and an econometrics tool. It offers the same statistical accuracy as more expensive statistical packages. NumXL integrates with Excel natively, adding scores of econometric function, a rich set shortcuts, as well as intuitive user interfaces to help you navigate the entire process. (1) Summary Statistics - Gini and Hurst, KDE etc. (2) Statistical Testing - Normality, Stationarity, cointegration, etc. (3) Brown's, Holt's & Winter's exponential smoothing (4) ARMA/ARIMA/SARIMA & X12ARIMA (5) ARMAX/SARIMAX (6) GARCH/E-GARCH & E-GARCH

Every day, decision making takes place at every level of every business. Simul8 allows you to make the best decisions every time and delivers serious impact quickly. Simul8 simulation software is so intuitive, quick, and effective that you'll use it every single day. Be based on truth and not hunches. Maximize flow by understanding and optimizing it. Find and inspire new ways of operating. Plan and forecast with confidence. Refute the status quo. Simul8 makes it all possible.

MATLAB® offers a desktop environment specifically optimized for iterative design and analysis, paired with a programming language that allows for straightforward expression of matrix and array mathematics. It features the Live Editor, which enables users to create scripts that merge code, output, and formatted text within an interactive notebook. The toolboxes provided by MATLAB are meticulously developed, thoroughly tested, and comprehensively documented. Additionally, MATLAB applications allow users to visualize how various algorithms interact with their data. You can refine your results through repeated iterations and then easily generate a MATLAB program to replicate or automate your processes. The platform also allows for scaling analyses across clusters, GPUs, and cloud environments with minimal modifications to your existing code. There is no need to overhaul your programming practices or master complex big data techniques. You can automatically convert MATLAB algorithms into C/C++, HDL, and CUDA code, enabling execution on embedded processors or FPGA/ASIC systems. Furthermore, when used in conjunction with Simulink, MATLAB enhances the support for Model-Based Design methodologies, making it a versatile tool for engineers and researchers alike. This adaptability makes MATLAB an essential resource for tackling a wide range of computational challenges.

MedCalc is a statistical package for biomedical research. Statistics includes more than 220 statistical tests and procedures, as well as graphs and methods, including ROC curve analysis and method comparison, and quality control tools.

Numerical analysis, also known as scientific computing, focuses on the study of techniques for approximating solutions to mathematical challenges. Scilab features an array of graphical functions that allow users to visualize, annotate, and export data, as well as numerous options for creating and personalizing diverse plots and charts. As a high-level programming language designed for scientific applications, Scilab facilitates rapid algorithm prototyping while alleviating the burdens associated with lower-level languages like C and Fortran, where issues like memory management and variable declarations can complicate the process. With Scilab, complex mathematical computations can often be expressed in just a few lines of code, whereas other programming languages might necessitate significantly more extensive coding. Additionally, Scilab is equipped with sophisticated data structures, including polynomials, matrices, and graphic handles, and it provides a user-friendly development environment that enhances productivity and ease of use for researchers and engineers. Overall, Scilab's capabilities streamline the process of scientific computing and make it accessible to a wider audience.

Utilize standard statistical methods to examine data effectively. Perform crosstabulations, derive descriptive statistics, assess correlation, and conduct significance tests without the need to master programming languages or intricate software commands. You can view a summary of the findings in the Explore tab, while traditional statistical tables are stored in the Output Log for further reference. This approach allows for a streamlined analysis process that remains accessible to users of varying skill levels.

The Lumenaut Excel Add-In offers a powerful suite of tools including Monte Carlo Analysis for risk simulations, a Decision Tree feature, and both Parametric and Non-Parametric statistical analysis capabilities, all accessible within Excel for various applications in business, engineering, and scientific research. Users are free to use the software commercially without any limitations on its features. The journey of developing Lumenaut was both challenging and gratifying, and it brings us great joy to see thousands of users benefit from improved analysis and decision-making processes. However, due to the current market conditions not supporting further significant investments in its development, we have decided to make Lumenaut available to the community at no cost, encouraging broader accessibility and use. We hope that by offering it for free, users will continue to find innovative ways to enhance their analytical capabilities.

PASS software offers tools for calculating sample sizes across more than 1100 statistical tests and confidence interval scenarios, which is significantly greater than what any other sample size software can provide. Each of these tools has undergone rigorous validation through published research and established texts. You can familiarize yourself with PASS by trying out a free trial, watching the accompanying video, or navigating through this website. With over 25 years of refinement, PASS has established itself as the top choice for sample size software in clinical trials, pharmaceuticals, and various medical research applications. Moreover, it has gained recognition across numerous other domains where sample size assessment is crucial. In just a few simple steps, PASS enables you to determine the sample size required for a statistical test or confidence interval. Should you require assistance at any stage, PASS provides comprehensive documentation, access to free training videos, and the option to reach out to our team of expert Ph.D. statisticians for support. This commitment to user support ensures that all users can effectively utilize the software to meet their research needs.

Many statistical software packages are created by statisticians for statisticians, resulting in tools that are rich in features yet can be daunting for scientists due to complex manuals, technical terminology, and steep costs. However, GraphPad InStat stands out as it is crafted by a scientist specifically for fellow researchers. This user-friendly program allows even those new to statistics to analyze their data efficiently within minutes. InStat provides a streamlined experience for statistical analysis, guiding users through each step of their evaluation. Within just a short time, you will become proficient in using InStat without needing to identify the specific statistical test required for your analysis. The software assists you in selecting the right test by prompting you with questions about your dataset, ensuring a tailored approach. If any uncertainties arise, the comprehensive help screens are available to clarify statistical concepts in easily understandable terms. InStat caters to users of all levels of statistical knowledge, presenting results in straightforward language with minimal technical jargon. Furthermore, the help screens offer a detailed overview of how each statistical test is utilized, making it an invaluable resource for researchers. InStat truly simplifies the process of statistical analysis, making it accessible and effective for everyone.

Keen is shaping the future of marketing mix by providing a comprehensive system that integrates both historical analysis and forward-looking, prescriptive planning, ensuring that marketers can continually refine their spending decisions across various channels while linking them to financial outcomes. This enables businesses to quickly adopt data-driven strategies and incorporate new information on the fly. With Keen’s marketing elasticity engine, users can explore all available channels, including those previously untested, allowing for informed scenario planning that aligns with both financial objectives and risk management. When considering marketing metrics, one often thinks of marketing mix models or multi-touch attribution methods to assess past effectiveness. However, the challenge lies in identifying the best opportunities for future initiatives, particularly in uncharted channels or during times of significant uncertainty, such as during a pandemic. Keen’s SaaS platform empowers users to forecast future performance accurately across all channels, enabling them to make wiser, growth-oriented decisions. This innovative approach not only enhances strategic planning but also helps marketers navigate the complexities of an ever-evolving market landscape.

StatXact® 12 equips statisticians in various fields, including social and natural sciences, with the most comprehensive toolkit available for exact inference and power analysis. With over 160 different tests and procedures, the StatXact® suite simplifies the sophisticated algorithms inherent in modern statistical analysis into a validated software solution that boasts a user-friendly interface. No other software package provides as many tests and procedures for exact inference and power analysis as StatXact. The platform facilitates swift and precise inferences through its intuitive interface, leveraging the complex algorithms developed by a team of experts at Cytel. This software empowers professionals in the life sciences to harness data effectively, tackle their most challenging issues, and make informed decisions with assurance. If you're interested in advancing your projects with Cytel's expertise, don't hesitate to connect with a professional to discuss your statistical and advanced analytics needs. Engaging with an expert can open doors to innovative solutions and enhance your research outcomes.