Embrace fast, robust credit risk analysis.

Intuitive, no-code financial data solutions

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Financial data analytics – redefined.

Intuitive, no-code, AI-powered solutions

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Game-changing warranty analytics insights.

AI tools to monitor product lifecycles

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The Power of Data Analytics and AI

Altair enables organizations worldwide to compete more effectively by operationalizing data analytics and AI with secure, governed, and scalable strategies. We deliver world-class, self-service analytics solutions for data preparation, predictive modeling, stream processing, visualization and more. With a no-code, cloud-ready interface, organizations can harness the full power of analytics and AI throughout its complete data lifecycle, driving next-level business results.

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Smart, Robust, and Confident Lending and Mortgage Analytics

Today’s BFSI organizations need unparalleled data control, organization, and insight to ensure they’re making confident, well-informed decisions. Our suite of no-code, AI-powered data analytics solutions help you streamline the lending and servicing workflow, predict credit and default risk, and give you unmatched data insight so you’re making smart, timely decisions. With Altair, you can usher in a whole new world of data insight.

A New Era of Financial Analytics

Financial data analytics doesn’t have to be daunting. With Altair’s world-class data analytics solutions, you get tools that let you organize, visualize, consolidate, and control your data so you don’t miss any insights. Our solutions also let you standardize reporting and exporting methods, perform real-time trade analysis, and more. With our intuitive, no-code software, leverage all your data so you can maximize performance, minimize risk, and make confident, well-informed business decisions.

Manufacturing, Warranty, and Predictive Analytics for All

Modern manufacturing is more data-oriented than ever – that’s why you need intuitive, powerful, no-code software solutions that can maximize output and efficiency, minimize unscheduled downtime, and give you unmatched insight into your products’ performance in the field. Our suite of AI-powered tools help you monitor equipment, provide real-time feedback, and ensure everything’s running at peak performance. With Altair, get the most from your operations 24 hours a day, 365 days a year.

 

Altair® RapidMiner®

Accelerate AI adoption with Frictionless AI

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Data Analytics and AI Working for You

Financial Services

Financial Services

Altair’s 30-year history working with financial organizations means we understand how analytics can help users understand and maximize aspects like risk mitigation, regulatory oversight, customer engagement, operational insights, and more.

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Manufacturing

Manufacturing

The Industrial Internet of Things (IIOT) is going full throttle, increasing connectivity, generating data, and unlocking unforeseen business potential. Altair knows how to harness this data to fuel innovation, create new opportunities, and accelerate any team’s smart manufacturing transformation.

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Insurance

Insurance

Altair can help insurers adopt data-driven technology so they can ensure their approaches to claims processing, optimization, fraud detection, risk and loss assessment, and customer retention is streamlined and effective.

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Government

Government

Altair’s tools have the accreditation needed to operate on government networks, and give users no-code, self-service analytics solutions that enable all users – regardless of skill level – to use data to solve security, logistics, and policy-based challenges.

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Healthcare

Healthcare

Altair’s data analytics solutions reduce healthcare IT complexities and make claims, reimbursement processing, revenue cycle management, interoperability, patient adherence, satisfaction analytics, and physician performance analysis simpler than ever.

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Telecommunications

Telecommunications

Altair’s data analytics solutions empower wireless, cable, and other telecommunications providers to retain customers, increase wallet share and market reach, anticipate fraud, optimize resource and network investments, and more.

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The Right Tools for You

Operationalize Your Data

Operationalize Your Data and AI

To maximize data insight generated from processes, customers, and products, your team must be able to generate and share data across the organization. Our solutions support users of varying skillsets – including engineers, MLOps specialists, business analysts, and more – with a no-code, cloud-ready interface that delivers the robust capabilities they need to harness the full power of AI-driven data analytics.

Altair’s data analytics tools empower organizations with unmatched data analytics and AI technology so users can develop secure, governed, and scalable strategies.

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Combine Programming Languages

Combine Programming Languages

Our robust solutions empower you to write data-centric applications using the best programming language(s) for the job, and let you mix syntax from multiple languages inside a single program. Both our code and no-code tools let you create, maintain, and run models using languages like Python, R, SQL, and the SAS language. Organizations that have invested heavily in IP developed with the SAS language can use our tools to maintain and run their existing SAS language programs without needing any third-party products or middleware.

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AI-powered Design

AI-powered Design

Advancements in AI and machine learning (ML) technology – along with the proliferation of simulation, testing, and field data sets – has made data science a critical component of the modern engineering and product development lifecycle. Computer-aided engineering (CAE), powered by AI, gives manufacturers the power to discover ML-driven insights, explore new solutions and designs, and develop and test cutting-edge products through collaboration and a streamlined design workflow.

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Data Transformation

Data Transformation

As an industry leader that boasts more than 30 years’ experience in data discovery and transformation, we offer the fastest, easiest way to extract data from difficult, semi-structured data like PDFs, spreadsheets, and text files. We also offer solutions that can extract data from Big Data and other structured sources. Whether your data is on-premises or in the cloud, our tools can automate data preparation tasks –freeing up time you can spend on value-add activities.

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Machine Learning and AI

Machine Learning and AI

Our machine learning (ML) and AI solutions quickly get to the granular, low-latency data that contains the precious insights you’re trying to uncover. Delivering transparency and automation through features like AutoML and Explainable AI, we streamline model building so you can have confidence in your results. Our flexible, no-code approach lets you freely configure and tune models, giving you more control than ever over the model building process.

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Data Visualization

Data Visualization

Our solutions let you connect directly to virtually any data source so you can build analytical dashboards with a no-code, drag-and-drop interface you can share enterprise-wide. Altair BI visualization tools let organizations perform virtual analyses on large sets of historical data. Utilizing our streaming analytics tools, teams can make fast, fully informed decisions based on rapidly-changing telemetry, sensor, transaction, and trading data.

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Consumers

Named 2020 Gartner Peer Insights Customers’ Choice for Data Preparation Tools

Gartner Peer Insights recognizes the vendors that are the most highly rated by their customers through the Customers’ Choice distinction. Download the full report and see why Altair was recognized with 4.5 of 5 overall rating by existing customers.

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Named Top Innovator by ABI Research

ABI Research Names Altair a Top Innovator for Data Analytics in Manufacturing

In a new competitive report, ABI Research evaluates nine vendors’ analytics offerings for manufacturing. Read the report for actionable market insights, overview of Industrial Internet of Things (IIoT) data analytics offerings and learn why Altair was named a Top Innovator.

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Our Impact

Real-Time Credit Scoring: Reduce Approval Times, Increase Loan Numbers, Improve Borrower Experience

Lenders need tools they can employ during the loan application process to advance an application to the next step or divert potential customers to alternative products that are a better fit. Implementing artificial intelligence (AI) models that facilitate fast credit reviews — and even approvals — can help lenders increase the quality, number, and amount of loans they grant without taking on unacceptable levels of risk.

Case Study

Analytics for Heavy Equipment

Serba Dinamik is an engineering company specializing in operations and maintenance (O&M), engineering, procurement, construction and commissioning (EPCC), and IT solutions for energy exploration and production firms. Their team worked with Altair to develop a Smart Predictive Maintenance Data System (SPMDS) utilizing Knowledge Studio and Panopticon. Maintenance crews use Panopticon-powered dashboards built into SPMDS to monitor every sensor mounted on operating turbines in real time. AI models built with Knowledge Studio identify potential failures or issues that require engineering attention, and, based on that understanding, take turbines offline only when necessary.

Customer Stories

Guide to Using Altair® RapidMiner® 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

Bank streamlines Collections with AI

A multinational financial services company wanted to explore improving its collection rate and process but did not have the in-house talent it could dedicate to the project. With billions in assets and more than 25 million customers throughout the world, the bank needed to integrate new sources of highly granular credit data with historical data from a variety of structured sources and semi-structured. Their collections process lacked prescriptive analytics to optimize which loan they reached out to each day and through which channel. It was also having productivity issues and struggling to launch new credit products because of inflexible data transformation tools that couldn’t accommodate new variables.

Case Study
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