Automated Data Transformation for the Enterprise: Altair® Monarch® Server

Examining your analytics system at regular intervals to get optimum performance is vital for your growing business. In order to ensure you get the most out of our technology and tools, Altair Data Analytics Services offers a technical health check. It covers full examination of the Altair Data Analytics product environment, related hardware and software configurations, the operating and networking environment, data backup and security, as well as can extend to any other bespoke criteria that you may want covered.

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.

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.

There are three major challenges associated with the collection and analysis of data across the government: data overload, dark data, and disparate data. All of these challenges can be addressed with the addition of data preparation tools to existing data analytics platforms across the Intelligence Community. Download this white e-book to learn how data prep addresses data overload, dark data, and disparate data for the Intelligence Community and improves threat detection.

Today’s healthcare providers are faced with the convergence of remittance data from multiple payors, all of which occur at different frequencies. This data is often hand-typed into practice management systems, financial applications, General Ledgers, etc. Consequently, the revenue cycle process is inefficient and is fraught with potential data quality errors when humans are manually updating accounts with remittance data.