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Altair Monarch Releases Major Upgrade of Data Prep Solution

New features address complex Excel data, improved PDF extraction.

Note: TDWI’s editors carefully choose press releases related to the data and analytics industry. We have edited and/or condensed this release to highlight key features but make no claims as to the accuracy of the author's statements.

Altair, a global technology company providing solutions in product development, high-performance computing (HPC), and data analytics, launched Altair Monarch, a major new release of its data preparation solution. The new version strengthens the ability of users to extract and convert data automatically from sources (including Excel spreadsheets, PDFs, and text-based files) and prepare it quickly and precisely for efficient data analysis and machine learning predictions.

By converting data from any source into rows and columns without the need for coding, Monarch quickly generates clean and accessible reports. More than 80 pre-built functions are available, enabling laborious and error-prone manual data preparation tasks to be fully automated. Reports that previously took hours or even days to create are now completed in minutes, freeing users to focus on value-added data analysis that supports better decision making.

Key features new to this Monarch release include:

  • Excel trapping: This feature enables users to deal with complex Excel inputs. Rules can now be utilized to extract and add structure to data and metadata from workbooks that are either designed for reporting or incorporate multiple worksheets.

  • Improved PDF extraction: By identifying graphical elements such as rectangles and lines on rendered PDF page images, Monarch accommodates the diverse range of report styles employed in this format. Any combination of font and background colors can be extracted successfully.

  • Support for Altair Units: Altair’s flexible licensing model allows customers to pay only for what they need, when they need it.

A free trial of Monarch is available at and more information can be found at .

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