Between our technology, our Center of Excellence (CoE) methodology, and the Altair Units licensing model, Altair RapidMiner accelerates your analytics initiatives. Our platform meets you where you are and evolves with your company wherever you need to go in the future. Altair RapidMiner delivers Frictionless AI and opens a world of new possibilities for what you and your team can achieve.
Regardless of where an organization is on their data journey, Altair RapidMiner helps teams overcome their most challenging obstacles. We offer a path to modernization for established data analytics teams as well as a path to automation for teams just getting started. We do this without requiring your organization to radically change your people, processes, computing environment, or existing data landscape, helping you achieve your data goals.
Altair helps organizations shape their data analytics programs and upskill their employees with the Center of Excellence methodology. The CoE identifies the highest priority use cases, upskills the business line teams so they can address data analytics problems themselves, and trains everyone – from business analysts to data scientists – to use the right tools for the problem. Training is available through the Altair RapidMiner Academy, which provides self-paced, persona-based learning for users of all skill levels and industries.
Historically, the data analytics sector has revolved around named-user pricing that drives up costs and limits access. Altair Units democratizes access to data analytics solutions while simultaneously making it more affordable than ever to access these tools. The ability to access all of Altair’s data analytics and AI products via Altair Units gives users the flexibility to run software anywhere, the freedom to choose what software tools they need when they need them, and unparalleled value that maximizes use and minimizes cost.
Altair enables you to develop, test and deploy programs, machine learning models, and macros written in the language of SAS as well as Python, R, and SQL - or in any combination of these - affordably, intuitively, and with no third-party software needed. We deliver the perfect combination of low-level data engineering facilities for retrieving, blending, and preparing data for analysis, along with machine learning features that let you build, explore, and validate reproducible predictive models. Altair delivers the complete, and only true alternative solution for developing and maintaining models, programs, and macros written in the SAS language.
In this presentation, Karan Bedi, Senior Digital Innovation Lead at Avery Dennison, takes us through the company's Data Science journey. He discusses how Avery Dennison works with data today and what their goal is with regards to democratizing data science. He introduces RapidMiner, an end-to-end data science platform now part of Altair, and explain how they are using it.
This presentation was part of the 2nd Altair Northern UK Seminar and was filmed live in Newcastle, UK in December 2022.
Speaker: Karan Bedi, Senior Digital Innovation Lead, Avery Dennison
Duration: 18 minutes
Whether you call it data preparation, mining, extracting, cleaning, joining, blending, or masking, it's all data transformation. This guide will help you assess your requirements and develop an implementation plan to increase efficiency and reduce errors in your data transformation processes. Experience no-code, automated data transformation: Try Altair Monarch today, for free.
For developers of analytics and ML tools, free-to-use resources like Python, R, and SQL have redefined the landscape. And this isn't simply a matter of cost. These open-source languages offer greater productivity, flexibility, and their own specific sets of capabilities and benefits. But there's a catch. While it may no longer be the preferred choice for coders who have grown up with open source, the long-established, SAS language remains a staple of the data science ecosystem. As a result, many enterprises still rely on a host of business-critical applications that were built using SAS language.