monarch

Data Modernization: From Gathering Dust to Gleaning Insight

As part of the Altair Data Analytics Spotlight Series, we discuss modernizing your organization's data management so that you can unlock the full value of analytics and AI. If you're interested in developing a trusted data architecture that is accessible, centralized, and strategically designed to enable scalability and smarter decision making, then this webinar is perfect for you. During this webinar, we discuss how you can: - Centralize the storage of your siloed data - Improve data integrity with data normalization platforms - Analyze all of your data for deeper predictive insights

Webinars

Gain Future Insight with Your Human Resources Data

Human resources (HR) is tasked with recruiting the best talent and keeping culture at the forefront while staying on top of payroll, performance, and many other responsibilities. What if you could save time getting these tasks done while your human capital is ahead of the curve to meet your organization’s business goals?

Datasheets

The Demand for AI in the Public Sector

As you consider options of pursuing AI business requirements in the public sector, being cognizant of some key factors will provide a framework for success. Essential considerations should be applied in the development of solutions able to be effectively integrated into operational environments of specific governmental structures. Employing expertise with an in-depth understanding of the respective organizational operations, combined with strategic partners — to offer comprehensive tools, technology, and/or services — increases your value offering. Samuel Massenberg Jr, Chief Growth Strategist at BreakForth Solutions discusses some key nodes along a path of successfully exploring AI pursuits in the public sector. This industry presentation aired at Future.AI in June 2021, and is over 20 minutes long. Explore Altair Data Analytics for Government View all Future.AI 2021 Presentations

ATC Presentations

Process Automation & Predictive Analytics for Mortgage Portfolios

Explore how mortgage lending, operations, and servicing groups leverage data analytics solutions to automate processes, apply predictive and prescriptive analytics, and monitor assets visually. Join us to see demonstrations on data extraction, content management, predicting credit defaults, and visual analytics. The presentation, by Senior Solutions Specialist Alyson Kelley, and Subject Matter Expert Joe Lovati from Altair, aired at Future.AI in June 2021, and is almost 44 minutes long. Ready to explore predictive analytics and process automation? Contact us! View all Future.AI 2021 Presentations

ATC Presentations

Improve Patient Experience and Operational Efficiency with Monarch and Advanced Data Transformation Tools

With the increasing adoption of telehealth and retailers expanding into healthcare delivery, patient demands for access and convenience continue to grow. Many organizations still rely on spreadsheets for key reporting and data management functions, but the manual processes required to manage healthcare data using spreadsheets are cumbersome and prone to error. Turning data into insight quickly is no longer optional and healthcare providers must respond with more efficient data handling workflows. In this session, we will explain how healthcare organizations can optimize their operations, improve patient experience, and reduce their costs using Monarch and advanced data transformation software in conjunction with spreadsheets. The presentation by Solutions Specialist John Strazdins, and Director of Healthcare Vertical at Altair Paige Jankowski, aired at Future.AI in June 2021, and is over 28 minutes long. Explore Altair Data Analytics for Healthcare View all Future.AI 2021 Presentations

ATC Presentations

Fireside Chat: Data Transformation - The Key to Efficient Month-End Close Processes

Explore how data transformation plays a vital role in executing month-end business processes. Marty Menz, CFO of Meyers Constructors, shares insights into how he’s utilized Altair Monarch throughout his career to improving a range of month-end tasks including inventory cost roles, evaluation, slow-moving and excess count, general ledger analysis, trial balance, and income statements, 401K deductions and payroll deductions, and more. Marty also explains how he is leveraging Monarch now and in the future to streamline his processes through automation. Marty's fireside chat with Rebecca Cronin, Customer Success Manager at Altair aired at Future.AI in June 2021, and is about 33 minutes long. Experience no-code, automated data transformation: Try Altair Monarch today, for free. View all Future.AI 2021 Presentations

ATC Presentations

Panel: Enhancing Your RPA Investment with Data Preparation

Robotic Process Automation (RPA) is an emerging technology that replicates business processes to improve accuracy and/or relieve human involvement. Automation frees teams to focus on strategic projects reducing workload and time in laborious business processes. Join industry experts Paul Nerger, VP of Blue Prism Digital Exchange, David Griffith, Managing Director at AmdoSoft, and Baba Majekodunmi Sr. Manager DA Customer Support, Altair, as they discuss the general RPA landscape, how to help organizations see the value and realize the full potential of your data and investment. The recording of this panel discussion aired at Future.AI in June 2021, and is about 28 minutes long. Experience no-code, automated data transformation: Try Altair Monarch today, for free. View all Future.AI 2021 Presentations

ATC Presentations

Staffing Services Save Cost and Time

Streamlining data preparation with Altair Monarch enables Client Engineering Services to speed up accounts receivable process by 90% while improving accuracy.

Customer Stories

Sporting Goods Chain Fuels Results with Data

In order to compete in the fast-paced retail industry, a chain of more than 100 sporting goods stores operating across the United States needed a more efficient and accurate method for preparing and analyzing data to enable management teams to quickly make strategic operational decisions.

Customer Stories

Altair Monarch: Enterprise-Class Data Transformation

Altair® Monarch® is a comprehensive, self-service data transformation and process automation solution. It connects directly to a wide range of structured and semi-structured data sources, including PDFs, text, complex spreadsheets, JSON, XML, big data sources, relational databases, and many others. Business users and analysts can extract, cleanse, and transform data into consistent, governed, and secure rows and columns without specialized knowledge or training, and without writing any code. The platform includes more than 80 pre-built data preparation functions which makes it easy to build new error-free workflows in minutes. Experience no-code, automated data transformation: Try Altair Monarch today, for free.

Technical Papers

Monarch Product Overview

Monarch is an enterprise-class self-service data preparation solution. It connects to multiple data sources including PDFs, spreadsheets, cloud-based data, big data, and other structured and semi-structured sources. Monarch converts disparate data formats into clean rows and columns in seconds and includes more than 80 pre-built data transformation functions to help make the process fast and easy. Spend more time generating value from your data with the Monarch no-code data transformation solution.

Product Overview Videos, Videos

Monarch Burster Nodes Automatically Unbundle Reports and Flag Errors

Altair Monarch’s burster node enables you to unbundle files and distribute the segmented results into separate files and locations. For example, a file containing multiple reports can be unbundled and then placed in a location that can be used for monitoring of other processes or ingestion into Content Server. Monarch’s burster node also detects errors and automatically moves faulty files to a special location where they can be corrected before further use. Monarch’s burster node is easy to set up and business users can implement a workflow incorporating burster functions in just a few minutes.

Use Cases

Data Transformation and RPA: How to Streamline Your Data Process

Discover how data transformation tools perfectly compliment RPA processes to free up human capital, prevent lost revenue, and ultimately maximize your investment. If you work with a large amount of data and are interested in learning more about RPA, or you currently have a RPA process in place, then this webinar is perfect for you. In partnership with AmdoSoft Systems, we demonstrated: - How data prep and RPA can be combined to increase productivity and agility - How to clean and format your data for maximized bots consumption - How our solutions eliminate siloed usage and error-prone manual tasks

Webinars

Automated Data Preparation for Payroll

Discover how Altair Monarch automates the transformation of payroll data into usable, structured datasets to streamline reconciliation, reporting and analysis.

Use Cases

11 Reasons You Still Need Data Prep for Electronic Medical Records System

Electronic Medical Records (EMR) and Electronic Health Records (EHR) have greatly improved data access, but efficient Revenue Cycle Management still requires significant data preparation to meet operational demands and health IT standards. This can be time-consuming and delay revenue collection. Altair’s market leading data preparation tool Monarch enables healthcare professionals to save time, limit clerical errors, easily automate recurring processes in Revenue Cycle Management and collect revenue faster.

Technical Papers

Engineers will make AI work

Anthony Mc Loughlin VP Sales Data Analytics, EMEA presents how to empower engineering to make data & AI work.

ATC Presentations, Presentations

The Value of Data Analytics in the Smart Factory

Marco Fliesser Technical Director Data Analytics EMEA presents "The Value of Data Analytics in the Smart Factory ".

ATC Presentations, Presentations

The Deep Dive: Practical AI and Data Science for Engineering

Engineers in manufacturing industries can spend as much as 50% of their time acquiring and synthesizing the data required to perform their day-to-day roles. We are convinced that engineers skilled in the use of AI toolsets hold the key to reducing the barrier to successfully capitalize on datasets across a wide range of complex manufacturing problems - from product design and new development to ongoing maintenance. These skills not only enable rapid, data-driven decisions and significantly improve productivity, but also empower engineers to meet the rising demand for an AI-skilled workforce. Take the next step in unlocking immediate opportunities for your manufacturing operations. Watch our in-depth session, The Deep Dive: Practical AI and Data Science for Engineers.

Webinars

Monetize Your Data Analytics Performance Through Collaboration

How can we take a step back from our current processes and improve them with new Machine Learning tools, or just clever reporting? In this session, our in-house solutions expert Alyson Kelley discussed how to monetize your current processes by: - Understanding current trends in data analytics - Creating strategic alliances within your organization - Taking advantage of partnerships with current vendors

Presentations

Streamline Audit Processes with Self-Service Data Preparation

Auditors are under significant pressure to keep expenditures down whether they work for an external audit firm or are part of an internal audit team. Achieving cost-effective audits requires organizations to do more with less - while maintaining or increasing audit quality. To succeed auditors not only need the right expertise and process but also the right data analytics tools.

Use Cases

Accelerate Data-driven Smart Operations with Altair Manufacturing Analytics

Explore how Altair enables enterprises to leverage operational data throughout the complete data lifecycle - from shop floor to top floor - with self-service data analytics and machine learning solutions.

Product Overview Videos

Powerhouse Data Prep: Altair Monarch for Excel Users

Microsoft Excel and other spreadsheet applications are ubiquitous, flexible, and give users the power to develop complex macro and formula-driven applications. The downside, however, is that spreadsheets are prone to error, difficult to program, produce results that are easy to misinterpret, do not handle data from multiple disparate sources easily, and are extremely difficult to maintain and debug as their size increases. Monarch can vastly reduce mistakes, save time, and support the most complex requirements.

Customer Stories, Use Cases

Data Science for Engineering

Data science and AI are game-changing technologies for engineering and manufacturing companies. To embrace the need of today and the future for self-service data science and analytics in manufacturing, we need more data engineers to make this all possible.
At Altair, we envision a future where engineers are well equipped to apply data science techniques to derive powerful predictive analysis that transforms the way they operate. There are a plethora of applications for data science in manufacturing - from product design, supply chain optimization, and fault prediction, and preventative maintenance to demand forecasting, and quality assurance. By bridging the gap between the data scientist and engineering roles, your organization can breakdown data silos and extract actionable insights to drive real business value.
The movement has just started. Watch our on-demand webinar to learn more.

Webinars

Monarch Spotlight Series - Audit Readiness and Optimization

Empower your analysts and organization to optimize the audit preparation process with Monarch. Preparing for and conducting an audit can be a labor-intensive, cumbersome, and error-prone process. However, it doesn’t need to be that way. By leveraging Monarch, analysts and organizations can leverage their disparate data sources in a no-code environment to optimize audit readiness.

Webinars

Monarch Spotlight Series - Data Automation for Mortgage Servicing

Mortgage Servicers using Black Knight face significant challenges around quickly and cost-effectively accessing lending and prepayment risk. Mortgage Servicers rely on the client and transactional data to evaluate pre-payment risk and execute on investor reporting, loss analysis, and servicing transfers. On platforms like Black Knight MSP, that data is either trapped in static reports or accessible through costly add-ons like BDE. The Altair Mortgage Suite serves as a complement to the mortgage servicing platform by transforming reports into tabular data, applying machine learning, and presenting the data in a visual, easy-to-interpret fashion. Come join our in-house expert with two decades of experience in mortgage servicing Joe Lovati to learn how the Altair Mortgage Suite can bring efficiency to your processes.

Webinars

Don’t Waste Time Manually Preparing Data in Spreadsheets

Stop wasting time repeating the same manual data preparation task in spreadsheets. Experience how Altair Monarch is the solution to fast, automated error-free data transformation.

Use Cases

Stop Learning Complex Spreadsheet Functions to Analyze Data

In the time you spend learning complex spreadsheet functions to format data, your entire project could already be done. Experience how Altair Monarch is the solution to transform data in minutes without coding or complicated formula.

Use Cases

Spend Less Time in Spreadsheets

Spreadsheets are powerful but not designed for today’s analytics demands. See how Altair Monarch transforms data in minutes.

Use Cases

Monarch Spotlight Series - Data Preparation & Trapping for Excel Users

Get more out of Excel, with less effort. As Excel users ourselves, we understand that there can be some frustration around Excel’s ability to handle the type of analysis we’d like to do. Recently, publications like Forbes and the Wall Street Journal have written articles, commenting on Excel’s shortcomings for analysts. Watch our in-house expert Llewellyn Wells as he shows how you can overcome these limitations with self-service data preparation.

Webinars

No Code Data Transformation for Insurance with Altair Monarch

Altair Monarch is the fastest and easiest way to extract data from dark, semi-structured sources like PDFs, spreadsheets, and text files, as well as from Big Data and other structured sources. Monarch cleans, transforms, blends, and enriches data with an easy-to-use interface free of coding and scripting. For 30 years Monarch has helped insurers worldwide save time and money by enabling people of different skill sets to transform data quickly and precisely for efficient analysis around calculating premiums, identifying fraudulent claims, optimizing customer retention strategies, and more.

Datasheets

Build Predictive Models for Failure and Multi-class Failure

Machine learning technology leveraging historical and real-time data from sensors mounted to production equipment as well as PLCs, SCADA, and other sources can accurately flag potential failures of whole machines and/or critical components before they can cause downtime.

Datasheets

Strategic Transformation in 2021: First Data, Then Digital

Mapping out an achievable digital transformation strategy is often hampered by poor or inaccessible data or the inability to access key data sources. Altair’s innovative approach to analytics helps avoid widespread pitfalls commonly encountered when attempting to operationalize large amounts of disparate data to solve for complex problems. Mike Rowley, Sr. Director - Data Analytics Solutions Marketing, hosts a lively discussion on common analytic limitations and opportunities associated with digital transformation. This webinar will map out the data and digital transformation journeys and highlight specific areas of focus for optimal results: -New developments in the world of digital transformation in 2021 -Most common challenges with data transformation today -Centralizing and governing curated and audited datasets -Trackable, transparent changes in data models and workflows

Webinars

Information Optimization Keeps Edwards Air Force Base Mission-Ready

The 412th Maintenance Group (MXG) provides maintenance, as well as Logistics Test and Evaluation (LT&E) support, for the U.S. Air Force, Department of Defense, Foreign Military Sales, and contractor aircraft at the Air Force Flight Test Center (AFFTC). The AFFTC is the Air Force Material Command center for excellence of research, development, testing and evaluation of aerospace systems for the United States and its allies. The mission of the Training Division is the planning, administration, development, instruction and evaluation of a training and readiness program for military members and civilian employees within the 412th MXG.

Customer Stories

Use Machine Learning To Predict Remaining Useful Life

Machine learning (ML) and stream processing technology are powerful solutions for remaining useful life (RUL) analysis. Manufacturers can use the large amounts of data produced by sensors combined with human inspections of finished pieces to train ML algorithms. The ML tools can then proactively alert operators when a tool is approaching its end of life, allowing them to schedule the replacement for a convenient time. Stream processing algorithms can also process all the sensor data being generated by any number of production machines, make on-the-fly comparisons with historical data, and increase the accuracy of ML algorithms. This solutions flyer explains how smart selection and application of ML tools combined with the availability of clean, governed datasets help manufacturers optimize their maintenance and wear part replacement schedules.

Datasheets

Data-Driven Warranty Risk Profile Analysis

Most manufacturers must handle large numbers of warranty claims related to a variety of products and components. The volume of claims can easily run to millions per year for consumer goods manufacturers. Patterns within claims data may indicate emerging quality or design problems; therefore, identifying and prioritizing the issues requiring high priority responses is critical to improving quality and reducing the financial impact of claims. This solutions flyer how advanced data analytics tools enable teams to cleanse and organize data from any set of repositories and apply machine learning technology to identify emerging quality or design issues.

Datasheets

From Disruption to Decentralization: A Peek into Building Advantage in 2021

How can you use the disruptions and lessons learned from this year to make meaningful change to your relationship with data? The catalyst for change can be jarring as we’ve all experienced this year. Inefficiencies within processes can be amplified as soon as working conditions change, but rather than seeking the status quo or returning to the way things were, can we use this time as an opportunity to improve processes or introduce needed supplemental analytics to pre-existing processes to move into 2021 healthier than 2020? During this webinar we'll discuss: -Identifying existing constraints, both tangible and perceived -Centralized vs. Decentralized Processes: how do we ensure agility and governance? -Offensive vs. Defensive Strategies for Data Trends in the industry and how to get ahead

Webinars

Altair Monarch with RPA Automation Demo

This demo covers a use case in digital transformation by moving more customers to e-statements to reduce mailing costs, and human touch of mail. Altair Monarch simplifies the process of extracting data from the core banking platform to identify those customers who are still receiving statements by mail. RPA takes the information that was cleaned and properly formatted by Monarch, to enter it into the core banking platform to change the mailing status to electronic.

Demo Models

Detect Anomalies in Manufacturing Equipment and Systems

Identifying unusual behaviors or patterns in machine components using sensor data can prevent small glitches from creating major operational problems.

Datasheets

Capturing Data in Monarch's Excel Worksheet Design

Monarch 2020 includes a new feature known as Spreadsheet Design. It can extract data from complex spreadsheets that might include multiple tabs, conditional cell formatting, and more. Monarch is the only data preparation solution that offers an easy method to extract data from spreadsheets and transforms this data into datasets to be used for analytic purposes.

Product Overview Videos

Climbing Data Mountains

Are you on the mountain or in the valley? Learn how The Fauquier Bank uses its data assets to decrease expenses, boost process efficiency, and improve data governance with automated and repeatable data models. Several examples will show the ease of bringing data together from a variety of locations such as cold storage, data warehouse, and the company network.

ATC Presentations

Implement Effective Manufacturing Process Analytics

By extracting real value from their data, manufacturers can make accurate predictions about component life, replacement requirements, energy efficiency, utilization, and other factors that have direct impacts on production capacity, throughput, quality, sales, customer acceptance, and overall efficiency.

eBooks

Altair Monarch Application for Procurement and Finance OnDemand Webinar

Watch this OnDemand Data Analytics Webinar to learn how Altair Monarch can help Procurement and Finance team improve their data efficiency and automate their data preparation.

Webinars

Monarch and Monarch Server Automator Overview

Monarch and Monarch Server Automator easily transforms data from disparate sources.

Product Overview Videos

Monarch Spotlight Series - Data Snacks: Optimizing, Importing and Exporting Data

The first step in any data preparation process is accessing the data itself but not all data is easily attainable. Learn how Monarch can expedite the data extraction process from virtually any source, from your tabular databases to your local drives, and how to get consistent results. With a wide variety of data comes a wide variety of challenges. Monarch has the ability to meet the individual challenges presented by each data source by catering to that type and giving the end-user the option on how they would like to interact with it. Once your data is imported and cleaned, learn how you can manage your exports to push the data exactly where it needs to go, in the format it needs to be in.

Webinars

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.

eBooks

Monarch Spotlight Series - Data Snacks: Building Models with Data Prep Studio (DPS)

The newest release of Monarch makes it even easier to build or adjust your models using our Data Prep Studio. From our improved engine version to automatically align your messy data to our Hit Map and Report Verify to ensure your data is being captured correctly, building models with DPS has never been easier. Data Prep Studio not only improves the way end users now capture data, but it also changes the methods and how we think about modeling. Having the DPS fully integrated means you can spend less time capturing data and more time gaining insight from it. Our experts show you some of the ways we’ve improved the data capturing process in this Monarch Spotlight Series session.

Webinars

Data-Driven Strategy to Transform Warranty Process

Warranty claims contain valuable information about product quality and reliability, customer expectations, and can reveal design or manufacturing defects. The proper utilization of this data enables manufacturers to make improvements to existing products, develop more reliable new products, and drive increased profitability.

Datasheets

Advance Asset Maintenance Strategies with Predictive Analytics

Predictive maintenance provides a proactive solution to monitor equipment health and predict failures. It enables organizations to avoid machine failures and unplanned downtime, increase equipment and production line productivity, reduce maintenance costs (including hard component replacement costs and associated personnel time), and improve output quality.

Datasheets