JMP Statistical Software Integrations

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.

SciCord Solution features are designed to help your company transition quickly into the digital age. SciCord ELN/LIMS can be used to ensure compliance in both manufacturing and laboratory settings. Validated formulas can improve compliance and eliminate errors in calculation. To ensure compliance with SOPs, create lists. Automatic entry verification to flag possible Out-Of-Specification scenarios. Restrictions to prevent the use of expired solutions and ensure that equipment is only used by trained personnel. Intelligent scans alert reviewers to potential issues such as unstable balance, precision, uncalibrated equipment, and unvalidated process. Fully compliant with CFR 21 Part11, including electronic signatures. Custom parsing of attached files extracts data and records it in SciCord experiments for additional calculations and statistical analysis.

Definitive functions are the heart of extensible programming. Python supports keyword arguments, mandatory and optional arguments, as well as arbitrary argument lists. It doesn't matter if you are a beginner or an expert programmer, Python is easy to learn. Python is easy to learn, whether you are a beginner or an expert in other languages. These pages can be a helpful starting point to learn Python programming. The community hosts meetups and conferences to share code and much more. The documentation for Python will be helpful and the mailing lists will keep in touch. The Python Package Index (PyPI), hosts thousands of third-party Python modules. Both Python's standard library and the community-contributed modules allow for endless possibilities.

Excel recognizes your patterns and organizes your data to save time. Excel allows you to create spreadsheets quickly using templates or your own. You can also use modern formulas for calculations. You can present your data in new charts and graphs with sparklines, formatting, tables and tables. With just one click, you can easily create forecasts that predict trends. You can share your workbook with others, and you always have the most current version. This will help you get more work done. Office 365 allows you to work in Excel files from your mobile device, desktop, or web browser. Excel now allows you to add data directly from a photograph. The Excel app allows you to take a photo of a printed table on your Android/iPhone device and convert it into an editable Excel table. This new image recognition function eliminates the need for you to manually enter hardcopy data.

Online spreadsheets can be shared and edited from any device. With easy sharing and real time editing, you can establish a ground truth for the data in your online spreadsheet. To keep your analysis flowing, use comments and assign actions. Smart Fill and formula suggestions are helpful tools that help you analyze faster and with fewer errors. Ask questions in plain English about your data to get quick insights. Sheets is seamlessly connected to other Google apps that you love, which saves you time. You can easily analyze Google Forms data in sheets, or embed Sheets charts into Google Slides and Docs. You can reply directly to comments from Gmail, and you can easily present your spreadsheets for Google Meet.

MySQL is the most widely used open-source database in the world. MySQL is the most popular open source database for web-based applications. It has been proven to be reliable, performant, and easy-to-use. This database is used by many high-profile web properties, including Facebook, Twitter and YouTube. It is also a popular choice for embedded databases, distributed by thousands ISVs and OEMs.

MATLAB®, a combination of a desktop environment for iterative analysis, design processes, and a programming language that expresses matrix or array mathematics directly, is MATLAB®. It also includes the Live Editor, which allows you to create scripts that combine output, code, and formatted text in an executable notebook. MATLAB toolboxes have been professionally developed, tested and documented. MATLAB apps allow you to see how different algorithms interact with your data. You can repeat the process until you get the results you desire. Then, MATLAB will automatically generate a program to replicate or automate your work. With minor code changes, you can scale your analyses to run on GPUs, clusters, and clouds. You don't need to rewrite any code or learn big-data programming and other out-of-memory methods. Convert MATLAB algorithms automatically to C/C++ and HDL to run on your embedded processor/FPGA/ASIC. Simulink works with MATLAB to support Model-Based Design.

IBM® SPSS® Statistics software is used by a variety of customers to solve industry-specific business issues to drive quality decision-making. The IBM® SPSS® software platform offers advanced statistical analysis, a vast library of machine learning algorithms, text analysis, open-source extensibility, integration with big data and seamless deployment into applications. Its ease of use, flexibility and scalability make SPSS accessible to users of all skill levels. What’s more, it’s suitable for projects of all sizes and levels of complexity, and can help you find new opportunities, improve efficiency and minimize risk.

Hive is home to some the most popular Web3 apps worldwide, including PeakD, Splinterlands and HiveBlog. To securely store your cryptocurrency and interact with Web3 apps, wallets are essential. Hive offers a variety of community-owned and open source wallets for Windows, macOS Linux, iOS, Android, Android, and Web. Contributors make it possible to develop Hive and its ecosystem. To encourage critical work, such Core Development, a DAO-like structure is used: the Decentralized Hive Fund, (DHF), which is being leveraged for intelligently funding important work.

Microsoft SQL Server 2019 includes intelligence and security. You get more without paying extra, as well as best-in-class performance for your on-premises requirements. You can easily migrate to the cloud without having to change any code. Azure makes it easier to gain insights and make better predictions. You can use the technology you choose, including open-source, and Microsoft's innovations to help you develop. Integrate data into your apps easily and access a rich set cognitive services to build human-like intelligence on any data scale. AI is built into the data platform, so you can get insights faster from all of your data, both on-premises or in the cloud. To build an intelligence-driven company, combine your enterprise data with the world's data. You can build your apps anywhere with a flexible platform that offers a consistent experience across platforms.

SQLite is a C language library that implements a small, fast and self-contained SQL database engine. It is highly reliable, compact, efficient, and fully-featured. SQLite is the most widely used database engine in the globe. SQLite is embedded in all mobile phones and computers. It also comes with countless other applications that people use every single day. SQLite is an embedded library that implements a self contained, serverless, zero configuration, transactional SQL database engine. The code for SQLite can be used for commercial and private purposes. SQLite is the most used database in the world, with many high-profile projects and more applications than we can count.

Easy creation of database apps in formats that best suit your business. Only for PC. Access is an easy-to use tool to create business applications from templates or from scratch. Access's rich and intuitive design tools will allow you to create highly functional and appealing applications in a short time. You can tailor your apps to suit your business and customers by easily editing as necessary to meet changing needs. Visual Basic for Applications allows you to automate business processes, create more useful forms, and report. Access connector library allows you to integrate data between Access and line of business apps. This will allow you to generate aggregated visuals, insights, and visuals in the familiar Access interface. Store data in SQL Server or Microsoft Azure SQL for improved reliability, scalability and security.

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is five times faster that standard MySQL databases and three time faster than standard PostgreSQL database. It offers the same security, availability, reliability, and cost-effectiveness as commercial databases, but at a fraction of the cost. Amazon Aurora is fully managed and maintained by Amazon Relational Database Service, (RDS). This automates tedious administration tasks such as hardware provisioning, database setup, patching and backups. Amazon Aurora is a distributed, fault-tolerant and self-healing storage that auto-scales up 64TB per database instance. It offers high availability and performance with up to 15 low latency read replicas, point in time recovery, continuous backup to Amazon S3, replication across threeAvailability Zones, and continuous backup to Amazon S3.

Connect your product to hotel data within minutes. Securely read and write to multiple hotel systems with one powerful, well-documented JSON interface. Connect your app to our Test Hotel in minutes. Real hotels can be connected in days, not weeks. All you need to connect to multiple hotel systems is one easy-to-understand REST API. Impala is bank-grade secure, GDPR-compliant, and uses geographically diverse hosting. Impala will be your last PMS integration. We connect your app to hotel data through a growing number property management systems. We are constantly adding hotel systems so that you can sell to a wider variety of hotels each month. Modern hotel technology requires complete data. Impala provides that seamlessly and in both directions. The Impala API offers a wide range of data, including guest information, transaction details, and updates on rate changes.

Amazon Redshift is preferred by more customers than any other cloud data storage. Redshift powers analytic workloads for Fortune 500 companies and startups, as well as everything in between. Redshift has helped Lyft grow from a startup to multi-billion-dollar enterprises. It's easier than any other data warehouse to gain new insights from all of your data. Redshift allows you to query petabytes (or more) of structured and semi-structured information across your operational database, data warehouse, and data lake using standard SQL. Redshift allows you to save your queries to your S3 database using open formats such as Apache Parquet. This allows you to further analyze other analytics services like Amazon EMR and Amazon Athena. Redshift is the fastest cloud data warehouse in the world and it gets faster each year. The new RA3 instances can be used for performance-intensive workloads to achieve up to 3x the performance compared to any cloud data warehouse.

Firebird is a relational data base that supports many ANSI SQL standards. It runs on Linux, Windows, and a range of Unix platforms. Firebird provides high concurrency, high performance and powerful language support for stored procedure and triggers. Since 1981, it has been used in production systems under many names. The Firebird Project is a commercially-independent project consisting of C and C++ programmers, technical advisers, and supporters. It develops and enhances a multi-platform relational data management system that uses the source code released by Inprise Corp (now Borland Software Corp) 25 July 2000.

Modernize and accelerate transaction-based applications both on-premise and in the Cloud. This SQL database server is high-performance and uses a relational management system to meet the rising demand for performance, reliability, efficiency, and productivity in every industry.

Azure SQL Database is part of the Azure SQL family. It's an intelligent, scalable, and relational database service that's built for the cloud. It's always available and up-to-date, and it has AI-powered and automated features that maximize performance and durability. Serverless computing and Hyperscale storage options automatically scale resources as needed, so you can concentrate on building new apps without worrying about resource management or storage size. A fully managed SQL database eliminates the complexity of managing high availability, tuning and other database tasks. You can accelerate your application development with the only cloud that supports evergreen SQL Server capabilities. Never worry about upgrades or discontinuing support. You can build modern apps with serverless and provisioned compute options.

R is a language and environment that allows for statistical computing and graphics. It is a GNU project that is very similar to the S language environment and environment, which were developed at Bell Laboratories (formerly AT&T now Lucent Technologies) in John Chambers and his colleagues. R can be seen as a different implementation to S. However, most code written for S runs without modification under R. R offers a wide range of statistical (linear, nonlinear modelling and classical statistical tests, time series analysis, classification, clustering and graphic techniques and is extensible. Research in statistical methodology is often done using the S language. R offers an Open Source way to participate in this activity. R's strength is its ability to produce well-designed publications-quality plots, including formulae and mathematical symbols.

Complete API Lifecycle Management solution to support agile API development and make it easy for you to monitor KPIs. True hybrid API development that works on both cloud and on-premises. Modern and adaptable using the most current security protocols. You can innovate quickly to improve efficiency and increase your bottom line. Make sure you have the most current security policies in place. For full portability, use the same integration tool whether you are using it for cloud or on-premises deployments. Use purpose-built cloud tooling to manage your cloud service, such as backup, restore, scaling-out/in or scaling up/down. Access to the SOA server via a web-based admin console and virtual machines via SSH.

Field Automated Communication Systems is a cloud-based construction management system that is ideal for contractors, field workers, project owners and managers. FACS makes it easy to manage your business operations and routines. FACS features include mobile field reporting, schedule tracking, contract administration, document management and cost control. FACS' project inspector allows users to track work progress and record inspection results. Users can also review resource allocation.

SAP HANA is an in-memory database with high performance that accelerates data-driven decision-making and actions. It supports all workloads and provides the most advanced analytics on multi-model data on premise and in cloud.

You can focus on your core app to get to market faster. OAuth.io handles all aspects of identity infrastructure, maintenance, security overhead, so your team doesn’t have to. OAuth.io makes identity easy. You can choose from a variety of identity providers, add custom attributes and customize your login page. Or, you can use our widget to integrate with your app. Identity solved in minutes. Our easy-to-use dashboard allows you to manage your users. You can find and manage users, reset passwords and enforce two-factor authentication. You can also add permissions and memberships through OAuth.io’s user management. Full-featured, highly secure user authentication with tokens or passwords. OAuth.io can handle all aspects of user authorization modeling, from multi-tenant to complex permissions. Our popular integrations can be used to force a second factor for user authentication.

IBM Db2®, a family of hybrid data management tools, offers a complete suite AI-empowered capabilities to help you manage structured and unstructured data both on premises and in private and public clouds. Db2 is built upon an intelligent common SQL engine that allows for flexibility and scalability.

SAS®, Viya®, data science offerings offer a comprehensive, scalable analytical environment that is quick and easy to use, allowing you to meet diverse business requirements. Automatically generated insights allow you to identify the most commonly used variables across all models, the most significant variables selected across models, and assess results for all models. Natural language generation capabilities allow you to create project summaries in plain language. This makes it easy to interpret reports. Analytics team members can add project notes and comments to the insights report to facilitate communication between team members. SAS allows you to embed open source code into an analysis and call open-source algorithms seamlessly within its environment. This allows for collaboration within your organization as users can program in the language they prefer. SAS Deep Learning with Python (DLPy) is also available on GitHub.

Access, explore, and prepare data while discovering new patterns and trends. SAS Visual Data Science allows you to create and share interactive visualizations and reports using a single interface. It uses machine learning, text analysis, and econometrics to improve forecasting and optimization. Additionally, it registers SAS and open source models within projects and as standalone models. Visualize your data and find relevant relationships. You can create and share interactive dashboards and reports, and use self service analytics to quickly assess possible outcomes for better, data-driven decisions. This solution runs in SAS®, Viya®. It allows you to explore data and create or adjust predictive analytical models. Analysts, statisticians, data scientists, and analysts can work together to refine and refine models for each group or segment, allowing them to make informed decisions.

A powerful, yet simple-to-use package for accessing, manipulating and analyzing information. Now available for cloud or on-site deployment. Why combine niche software packages from different vendors. A consolidated portfolio, which includes three of our most popular products (Base SAS, SAS/STAT, and SAS/GRAPH), reduces licensing, maintenance, and training costs, while providing consistent information across your enterprise. SAS statistical procedures are continuously updated to reflect the most recent advances in statistical methodology. Technical support is provided by highly qualified statisticians at master's and doctorate levels. This allows them to provide a level of service that is not possible with other software vendors. SAS has over four decades of experience in developing statistical analysis software that organizations around world rely upon to provide accurate answers for data questions.

JSON (JavaScript Object Notation), is a lightweight format for data-interchange. It is easy to read and write. It is easy for machines and humans to generate and parse. It is based upon a subset the JavaScript Programming Language Standard ECMA-262 (3rd Edition - Dec 1999). JSON is a text format which is completely language-independent but still uses conventions familiar to programmers of the C family of languages. This includes C++, C# JavaScript, JavaScript, Perl and Python. These properties make JSON a great data-interchange language. JSON is built upon two structures: 1. A collection of name/value pair. This can be realized in many languages as an object, record or struct. 2. An ordered list of values. This can be expressed in most languages as an array, vector or list. These are universal data structures. They are supported by almost all modern programming languages in one way or another.

MariaDB Platform is an enterprise-level open-source database solution. It supports transactional, analytical, and hybrid workloads, as well as relational and JSON data models. It can scale from standalone databases to data warehouses to fully distributed SQL, which can execute millions of transactions per second and perform interactive, ad-hoc analytics on billions upon billions of rows. MariaDB can be deployed on prem-on commodity hardware. It is also available on all major public cloud providers and MariaDB SkySQL, a fully managed cloud database. MariaDB.com provides more information.

PostgreSQL, a powerful open-source object-relational database system, has over 30 years of experience in active development. It has earned a strong reputation for reliability and feature robustness.

Multiple analytic engines can lead to best-fit engineering. QueryGrid allows users to choose the right tool for their job. SQL is the language for business and QueryGrid provides unparalleled SQL access across both commercial and open-source analytical engines. Vantage is a multi-cloud hybrid solution that solves the most difficult data problems at scale. Software that can adapt to changing customer demands by providing autonomy, visibility, as well as insights.

A low-code visual interface allows you to create and deploy natural language chatbots. You can access data, reports, visualizations, and text responses. You can even apply analytics and AI using a natural language, conversational interface. You can connect to external services or configure bots within SAS to get more insights. Sending a message is all it takes to get insights from your data. Using suggestions and clearly identified related actions, you can quickly spot important relationships within your data. Machine learning and natural language explanations can be used to create stories and insights that are simple to understand and explain. Examine all options, find the reasons for what happened, and discover hidden opportunities in your data. Automately highlight key relationships, outliers and clusters to uncover vital insights that can inspire action.