Rapidminer SLC is a complete replacement SAS language environment with low- and no-code tools supporting advanced analytics features, high productivity and short development and deployment cycles.

Rapidminer SLC runs programs written in SAS language without translation or any third-party products or licenses required. Its support for Python, R and SQL — and the ability to combine program modules built in any of these languages — makes it the ideal way to facilitate major migration projects as well as maintain libraries of SAS language programs at reduced cost.

Our SAS language compiler runs SAS language and macro syntax, and includes procedure support for statistics, time series analytics, operational research, machine learning, matrix manipulation, operational research, graphing and output delivery.

Rapidminer SLC Hub is a powerful and intuitive platform designed to simplify the deployment, management and operationalization of your analytical programs and models. It acts as a central hub, empowering both technical users and business stakeholders to leverage analytics efficiently and securely.

Here's how Rapidminer SLC Hub can transform your analytics workflow:

• Simple interface: Deploy analytical programs, models, and workflows with ease using a user-friendly interface.
• Flexible execution: Schedule tasks with execution decision rules for automated processes, or deploy them for on-demand execution by internal business users or external customers.
• Multi-language support: Seamlessly deploy programs and models written in popular languages like SAS language, Python and R.
• Workflow Integration: Easily deploy workflows created within Rapidminer Analytics Workbench.
• User and access management: Maintain full control over who can access what, managing users and their permissions effectively.
• Secure data access: Control access to sensitive data sources, ensuring that deployed applications only access appropriate information.
• Detailed audit logs: Keep a complete record of all user actions with built-in audit logs, enhancing transparency and accountability.
• Empowered teams: Streamline governance tasks and roles, allowing business users to handle tasks traditionally reserved for IT and DevOps teams, fostering greater agility.
• Secure central solution: Position Rapidminer SLC Hub as a secure core component of your analytics ecosystem, handling enterprise-wide governance and deployment.
• Consistent data security: Ensure secure access to appropriate data sources and provide secure data access for all users when running deployed applications.

Rapidminer SLC Hub bridges the gap between analytics development and business impact, offering a secure, governed and streamlined approach to operationalizing your valuable analytical assets. It empowers organizations to deploy, manage and scale their analytics with confidence.

Rapidminer SLC Hub is designed to empower users by simplifying complex analytical workflows, enabling seamless deployment and ensuring secure access. Here are its key features:

1. Simplified execution, decisioning, and scheduling

Rapidminer SLC Hub transforms how you manage and run your analytics. With its visual programming tool, you can easily create intuitive decision pipelines to execute your deployed analytics without needing to write complex code. Furthermore, its integrated scheduling services allow you to automate the running of these analytics or entire decision pipelines at precisely specified times and dates, ensuring your operations are always on schedule.

2. Expose deployed applications as APIs

Bridging the gap between analytics and broader application ecosystems, Rapidminer SLC Hub enables you to effortlessly build Application Program Interfaces (APIs). Using point-and-click wizards, you can create APIs from your deployed applications, complete with customizable input prompts for dates, numeric values, string values and more. This feature allows anyone who understands the business problem to create robust APIs without needing code development expertise.

3. Secure data and application access

Security is paramount, and Rapidminer SLC Hub provides robust controls to protect your valuable data and applications. It offers simple, intuitive controls for defining and managing users and groups, ensuring that access is always appropriate and controlled. For organizations utilizing existing infrastructure, there's also the convenient option to synchronize user and group information via LDAP with Active Directory Services.

Rapidmner Analytics Workbench is a robust coding environment designed to streamline your analytical workflows. Powered by RapidMiner SLC, it offers comprehensive support for developing models and multi-language coding, including SAS, Python, R and SQL.

This integrated development environment (IDE) provides the fastest route to incorporating Python, R and other open-source tools within your existing SAS language environment. It also allows you to manage your current code library and develop new programs in the SAS language—all without requiring third-party licenses or software.

Rapidminer Analytics Workbench is a powerful tool designed to help you with every step of your data analysis journey. Here's a breakdown of its key features:

• Robust coding environment: You'll find a top-notch integrated development environment (IDE) that supports creating, maintaining and running programs, as well as exploring data, results and logs. It's especially strong in SAS language and Python programming, and it even lets you combine SAS, SQL, Python and R code in a single program, making data exchange between languages super smooth.
• Visual workflow environment: This feature allows you to build workflows using intuitive drag-and-drop blocks. It’s fantastic for both low-level data engineering (like retrieving, blending and preparing data) and machine learning tasks (such as building, exploring and validating predictive models). Plus, you can enhance these workflows with programmable blocks using SAS, SQL, Python and R.
• Extensive data access: Rapidminer Analytics Workbench can connect to almost any data source. This includes cloud services, Hadoop, data warehouses, databases, SAS language, SPSS, Parquet, Microsoft® Excel®, CSV and other file-based data formats.
• Comprehensive data preparation: Get your data ready for analysis with a wide array of tools for cleaning, filtering and enriching. From simple filters and sorting to optimized binning and a visual SQL query tool, preparing your data has never been easier or more efficient.
• Insightful data exploration: Dive deep into your complex datasets with advanced data grids and data profiling tools. You can explore your data using graphing, profiling and decision trees to uncover valuable insights and understand your information better.
• Flexible local and remote processing: You have the freedom to create, maintain and run models and programs using SAS, SQL, Python and R on whatever infrastructure suits you best. Whether it's the cloud, on-premises or a hybrid setup – on mainframes, Linux, Windows, AIX servers, workstations or laptops – Rapidminer Analytics Workbench has you covered.