Data Analytics

Data Analytics and Artificial Intelligence (AI)

Data is unlike any other asset your organization owns. It never wears out, it never drains, and it can be used repeatedly. But the value in data is not in having it, it’s in how you use it. Altair enables data-driven enterprises by providing teams the power to use data analytics and AI to gain competitive advantages and drive next-level business results.

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Operationalize Your Data

Operationalize Your Data and AI

To better understand your processes, customers, and products, your team must collaboratively generate and share data-driven insights across the organization. Our solutions are designed for many different skill sets: from data scientists and engineers to MLOps specialists to business analysts to executives. With a no-code, cloud-ready interface, we deliver the powerful capabilities organizations need to harness the full power of data analytics and AI throughout the complete data pipeline.

Altair Data Analytics enables organizations to operationalize data analytics and AI with secure, governed, and scalable strategies.

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Combine Programming Languages

Combine Programming Languages

Write data-centric applications using the best programming languages for the job, mixing syntax from different languages inside a single program. Our code and no-code tools empower you to create, maintain and run models and programs using Python, R, SQL, and SAS languages.

Organizations that have invested many man-years in developing IP using SAS language use our tools to continue to maintain and run their existing SAS language programs without the need for any other third-party products.

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Data Transformation

Data Transformation

An industry leader with more than 30 years of experience in data discovery and transformation, Altair offers the fastest and easiest way to extract data from difficult, semi-structured data like PDFs, spreadsheets, text files, as well as from, databases, data warehouses up to current cloud, Hadoop, Big Data and other large structured sources. Whether data is on premises or in the cloud, Altair can automate ETL and other data preparation tasks and transform your data into accurate and clean datasets in seconds – rather than hours or days – freeing you up to spend time on value-add activities, not on mundane, repetitive and error-prone tasks.

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Predictive Analytics and Machine Learning

Predictive Analytics and Machine Learning

Altair’s machine learning and AI solutions quickly get to the granular, low-latency data that contain the insights you are trying to uncover. Delivering transparency and automation with features such as AutoML and Explainable AI, we streamline model building so more time can be spent analyzing and results can be trusted. Our flexible no-code approach doesn’t restrict how models are configured and tuned, giving you control over model building. With our support for popular, open-source languages and our built-in support for SAS language, you can integrate new models built using Altair into your existing analytics infrastructure.

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Operationalize Performance in Real Time

Data Visualization and Stream Processing

Spot anomalies, trends and outliers in seconds with real-time data, and share results across the organization using rich, powerful dashboards. Our stream processing and data visualization solutions are built for people who need to make fast, fully informed decisions based on massive amounts of fast-changing telemetry, sensor, trading and general operating data.

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AI-powered Design

Advancements in the fields of AI and machine learning (ML), combined with the increased availability of robust simulation, testing, and field data sets has made engineering data science a critical component of the modern product development lifecycle. Computer-aided engineering (CAE) augmented by AI is offering manufacturers the ability to discover ML-guided insights, explore new solutions to complex design problems through physics and AI-driven workflows, and achieve greater product innovation through collaboration and design convergence.

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2021 FROST & SULLIVAN

Enabling Technology Leadership Award

Altair wins 2021 Frost & Sullivan North American Enabling Technology Leadership Award for data and AI solutions for manufacturing excellence.

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Featured Resources

Guide to Using Data Analytics to Prevent Financial Fraud

Financial fraud takes countless forms and involves many different aspects of business including; insurance and government benefit claims, retail returns, credit card purchases, under and misreporting of tax information, and mortgage and consumer loan applications.

eGuide

Harnessing the Power of Big Data, AI and Simulation to Accelerate Product Innovation

In a world where everything is becoming more and more connected, Mabe, a leader in home appliances, is leveraging the convergence of big data, analytics and simulation to accelerate innovation.

Testimonial

Visualize Power Flows in Real Time

The Electric Storage Company is a Northern Ireland-based firm that manages electric power in households from renewable sources using battery storage and Internet of Things (IoT) technologies. The company installs smart batteries in homes and communities, along with sophisticated management software that lets homeowners sell excess energy back to grid operators when prices are high and helps them maintain the lowest possible energy input costs.

Customer Stories

Guide to Using Altair Data Analytics to Estimate and Visualize Electric Vehicle Adoption

Data drives vital elements of our society, and the ability to capture, interpret, and leverage critical data is one of Altair’s core differentiators. While Altair’s data analytics tools are applied to complex problems involving manufacturing efficiency, product design, process automation, and securities trading, they’re also useful in a variety of more common business intelligence applications, too.

eGuide
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