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.
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.
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
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.
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.
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.
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.
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.
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.
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.
Spend Less Time in Spreadsheets
Spreadsheets are powerful but not designed for today’s analytics demands. See how Altair Monarch transforms data in minutes.
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.
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.
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.
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
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.
Use Machine Learning To Predict Remaining Useful Life
Machine learning (ML) and stream processing technology are powerful solutions for remaining useful life (RUL) analysis. Manufactures 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.
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.
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
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Automated Machine Learning Streamlines Root Cause Analysis
Root Cause Analysis is critically important to the ongoing success of any manufactured product. Detecting design defects, raw material problems, build issues, and quality control shortfalls as early as possible fosters continuous product improvement, increased reliability and performance, and allows the company to maintain strong reputations for product brands.
Mastering Data in Higher Education
Despite recent advancements in technology, the education sector has struggled to capitalize on opportunities afforded by data analytics.
Altair Data Analytics for the Federal Government
Altair Data Analytics enabled government agencies and people of all skill levels to access, generate, and use smart data to make insightful, informed decisions.
Automate and Govern Data Preparation Routines
Altair Monarch Server Automator provides a comprehensive, enterprise-wide data preparation solution that extends on the work completed using Monarch's desktop solution.
Using Data Automation and Predictive Analytics To Reassess Risk In the COVID-19 Era
How can banks & credit unions use data automation and predictive analytics to reassess risk due to COVID-related unemployment?
Join Dylan Tancill, Director of Altair's Bank & Credit Union Team, for a lively discussion presented at the recently held 5th Annual CULYtics Virtual Summit 2020.
The Next Generation of Data-Driven Lending
Post COVID-19 and as we navigate our new normal - banking and lending will undoubtedly be transformed. As the economic fallout spreads, financial firms are grappling with a major influx of relief requests from consumer and business customers.
Our panelists discuss whether modern technology, advanced analytics, and a data-driven approach can hold the keys to ensuring banks and fintech leaders continue to scale despite this rapidly evolving credit crisis.
The Future of Self Service in Data & Analytics
Featuring an enviable lineup including; Frederic de Sibert, Global Head of Investment Banking Services Strategists at Goldman Sachs, Paul Downes, COO at Autovista Group, Kerem Talih, General Manager/CFO at Doğuş Otomotiv and Dr. Mamdouh Refaat, Chief Data Scientist at Altair.
This hour-long webinar is full of insight, guidance, and tips from global businesses that are at various stages of their Data & Analytics journeys.
The Future of Data Democratization
Hear from a prestigious panel of experts including David Huguet, Data Lead at SNCF, plus Martijn van Baardwijk, CFO - Continental Europe at Inchcape plc. as we focus on;
- How to democratise data inside and outside your company;
- How to manage the security and risk associated with data democratization;
- The improvements brought by having unified access to data.
Chaired by Anthony Townsend, Director of EMEA Sales, Altair.
The Future of Augmented Analytics
Augmented Analytics is being touted as the next frontier in AI’s Evolution with Gartner defining it as “the use of enabling technologies such as machine learning and AI to assist with data preparation, insight generation, and insight explanation to augment how people explore and analyze data”.
Monarch Spotlight Series - Data Snacks: Maximizing the Use of Calculated Fields
Not all data are created equal - learn how to leverage Monarch's Calculated Fields feature to create dynamic functions to apply to your entire data sets. Our Solutions Specialist, Joseph Alvarez, shows you some of the tips and tricks on how to get the most of out your data.
Enhancing Your RPA Investment With Data Preparation
As more businesses use Robotic Process Automation (RPA) as a means to streamline operations and assess efficiency gaps, there are hurdles to fully realizing its benefits. For instance, existing data is often challenging for RPA processes to handle. Without a good solution, studies indicate that 80% of the time spent on RPA has to do with data preparation.
Discover how you can enhance your ongoing RPA investment with the right data analytics stack.
Monarch Spotlight Series: Data Snacks - Joins
Siloed Data doesn’t have to stay that way. Combine data sets from virtually any location or format with Monarch to create uniformed, consistent outputs ready for analytics.
Joins are an integral part of creating a unified view of all of your data in a single place. With Monarch, we’ll show you how you can perform Standard Joins, Lookups, and Negative Joins to create the output you’re looking for without the need to code or script.
Monarch Data Prep Studio Product Overview
Access, transform, combine, and blend multiple data sources with Monarch Data Prep Studio.
Product Overview Videos
Daily Debit Reconciliation using Altair Monarch
Lending organizations consolidate daily debit transactions into auto-generated files (typically Excel format). With thousands of machines and hundreds of thousands of records per day, manual reconciliation to the balance level is laborious and error-prone.