Managing Your Cloud Data: How to Create a Unified Look at Your Cloud Utilization Across All Cloud Providers

Data in all its glory, but the real challenge lies in generating value from the data. We all know that semi-structured data like PDFs and text files, or even structured sources of data is useless unless we can extract the relevant information and visualize it in an understandable way. Compaines around the world collect a huge amount of data every day. This data would be a fantastic source of information for decision making, if we could only make it understandable for us. This is where most companies loses the battle. Combine data from multiple sources is necessary for nearly every department to get accurate answers to critical questions. Manually cleaning, joining, transforming reports for reconciliation takes an enormous amount of time, is repetitive and error prone.

We kick off the Data Science for Engineering series by covering the first step of data science methodology. During this 90-minute presentation and Q&A we discuss:

• The "why" of engineering-data science convergence holds the key to unlocking the full potential of data and AI in manufacturing​.
• The data science basics including the Cross-Industry Standard Process for Data Mining (CRISP-DM) framework​.
• How Mabe, a leader in home appliances, is leveraging the convergence of big data, analytics, and simulation to accelerate product innovation​.
• How you can gather, combine, structure, and organize engineering data using a self-service data preparation solution​ with a technical demonstration of Monarch.

RPA and Automation are popular buzzwords, but what can they actually provide your organization? And, how do you get started? Data transformation tools such as Altair Monarch perfectly complement RPA processes to free up human capital, prevent lost revenue, and ultimately maximize your investment. Learn how starting small with the right approach can help demonstrate value to your organization by minimizing repetitive and time-intensive processes.  This session explores: • Getting started with RPA and implementation in your organization • Leveraging advanced data preparation to drive operational and administrative efficiencies • Eliminating siloed usage and error-prone tasks through RPA To learn more about the ABCs of RPA, fill out the form.

Is data a challenge or an asset for your HR department? Discover how to minimize the time spent on reporting while maximizing insights from your available data sources. The HR department’s monthly, weekly, and even daily reports have a wide range of complexity and importance. From the “no-fail” tasks of payroll reporting to the in-depth look at the overall health of an organization through talent acquisition and talent retention, the role of HR and the data it needs for the job are inseparable. Our analytics expert will reveal how you can: - Manage data from payroll systems - Track diversity hire information YoY - Assess the health of your organization - And more! Visit our HR Analytics page for additional resources

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

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

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.

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

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.

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.

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.

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.

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 -Most common challenges with data transformation today -Centralizing and governing curated and audited datasets -Trackable, transparent changes in data models and workflows

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

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.

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.

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.

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.

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.

Hear from a prestigious panel of experts including David Huguet, Data Lead at SNCF, plus Martijn van Baardwijk, CFO - Continental Europe at Inchcape plc.

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”.

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.

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.

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 has been the leader in self-service data preparation for over 30 years. With our newest release, we’ve made even your most difficult data prep challenges even simpler.
With the inclusion of Worksheet Design, we can now take your structured, formatted spreadsheets (for example, Microsoft Excel or Google Sheets) and simplify the extraction of the data with a few clicks. We’ve also upgraded our PDF engine to make even the most unruly PDFs a snap to trap.

James R. Scapa brings more than 35 years of engineering experience to his dual role of chairman and CEO of Altair, a title he has held since the company's inception in 1985.

Basic Data Prep covers the most simple changes that can be made after the data has been extracted from Report Design. Once data is brought into the prepare window, it can be manipulated further while creating a repeatable and effective process. Mastering Basic Data Prep will allow the user to refine the information that they want to focus on.

Advanced Trapping will cover the most difficult to solve challenges when working with semi-structured .txt and .PDF reports. Not every report is neat and formatted enough to allow for standard trapping which is why it’s so important to know the available tools and techniques at your disposal. Mastering Advanced trapping will allow users to address their most difficult challenges when it comes to capturing data on a consistent basis.

In the Basic Trapping session, we covered the most straightforward challenges when working with semi-structured .txt and .PDF reports. For the documents that follow consistent structure throughout the entirety of the report, standard trapping methods will offer a reliable and repeatable solution. Mastering Basic Trapping methods will allow the end-user to address all of their basic challenges when it comes to capturing data on a consistent basis.

Altair Data Analytics helps the Intelligence Community implement and streamline advanced interoperability through smart data preparation and predictive analytics, allowing security analysts to rapidly access, clean, and transform difficult data from disparate sources into a leverageable, shared asset for efficient reporting. During the 20-minute session presented at the recently-held Intelligence Analytics Virtual Summit, we discussed how to leverage data preparation and predictive analytics to automate repetitive, error-prone processes associated with accessing and reconciling data, eliminating manual work, and fostering smart decision-making across the board.

Many of our customers invest in Altair Monarch for the advanced capability to access data from complex sources and convert it into workable rows and columns. However, they often use the solution to solve a very specific problem and capture data from a very specific report, without exploring the true potential of the product.

Enterprises are becoming more data-driven and scaling up their data collection. But how is the data quantity transformed into data quality? How does one gain insight and condense complex data from several sources into a simple, coherent strategic message, that can easily be communicated to managers, engineers and decision-makers? In this webinar, Jakob Svensson is going to show you how to use Altair Monarch to gain insight through analyzing large quantities of data, without using any code. The webinar is started with a brief introduction to Altair Monarch and data preparation and followed with a live demo.