Datawatch - Monarch Pro 8.0
Monarch is being used by certain individuals at the company I now work for. It helps extract data from different sources and puts the data …
Altair MonarchFormerly Datawatch Monarch
Altair Monarch
Altair Monarch
Overview
What is Altair Monarch?
Altair Monarch (formerly Datawatch Monarch, acquired by Altair in December, 2018) works with both relational and multi-structured data including support for a wide range of formats including PDF, XML, HTML, text, spool and ASCII files. The product can access data...
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What is Altair Monarch?
Altair Monarch (formerly Datawatch Monarch, acquired by Altair in December, 2018) works with both relational and multi-structured data including support for a wide range of formats including PDF, XML, HTML, text, spool and ASCII files. The product can access data from invoices, sales reports,…
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Product Details
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- Integrations
- Competitors
- Tech Details
- FAQs
What is Altair Monarch?
Altair Monarch (formerly Datawatch Monarch, acquired by Altair in December, 2018) works with both relational and multi-structured data including support for a wide range of formats including PDF, XML, HTML, text, spool and ASCII files. The product can access data from invoices, sales reports, balance sheets, customer lists, inventory, logs and more.
According to the vendor, the system is easy to use, allowing users to quickly select any data source and automatically convert it into structured data for analysis. Monarch provides data masking to remove or obscure confidential data such as customer information, medical records and employee IDs with redaction capabilities. This feature allows users to distribute reports to partners and customers, even in heavily regulated industries such as healthcare and financial services, without compromising customer and employee privacy.
Prepared data can be saved in a variety of native BI formats so users can visualize results not just in popular BI tools such as Tableau, Qlik and Excel. Users can also share and reuse data preparation processes with other Monarch users.
According to the vendor, the system is easy to use, allowing users to quickly select any data source and automatically convert it into structured data for analysis. Monarch provides data masking to remove or obscure confidential data such as customer information, medical records and employee IDs with redaction capabilities. This feature allows users to distribute reports to partners and customers, even in heavily regulated industries such as healthcare and financial services, without compromising customer and employee privacy.
Prepared data can be saved in a variety of native BI formats so users can visualize results not just in popular BI tools such as Tableau, Qlik and Excel. Users can also share and reuse data preparation processes with other Monarch users.
Altair Monarch Features
- Supported: Access all data including multi-structured
- Supported: Advanced data masking
- Supported: Visualize in any analytic tool - Tableau, Qlik, Excel
Altair Monarch Screenshots
Altair Monarch Integrations
- Db2
- IBM Informix
- MySQL
- SAP IQ
- Microsoft SQL Server
- Amazon Redshift
- Salesforce.com
- SAP BusinessObjects Business Intelligence (BI) Platform
- PostgreSQL
- Hadoop Hive
- Cloudera Impala
- Oracle
- OData
Altair Monarch Competitors
Altair Monarch Technical Details
| Deployment Types | On-premise |
|---|---|
| Operating Systems | Windows, Linux |
| Mobile Application | Apple iOS, Android, Windows Phone |
Frequently Asked Questions
Reviewers rate Data Visualization highest, with a score of 7.3.
The most common users of Altair Monarch are from Enterprises (1,001+ employees).
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March 18, 2015
Datawatch - Monarch Pro 8.0
Monarch is being used by certain individuals at the company I now work for. It helps extract data from different sources and puts the data into an Excel spreadsheet which is easy to manipulate into anything we need.
- Reduces multiple lines of data into one. This allows for a more across the page reference rather than a hunt and peck for the data.
- Field definition needs to include more options to retrieve the data.
Used Datawatch Desktop to analyze marketing data in the sales and marketing departments. For example, we used data from our website, including number and frequency of visits, forms completed, time spent on site, and other factors and visually correlated that information with sales opportunities in the CRM. The visualizations made it obvious when a prospect's behavior on the website did not match the likelihood-to-close percentage provided by the salesperson. When there is a discrepancy, the sales manager can intervene and help the salesperson better qualify the lead.
- Ability to access and visualize real-time streams of data coming in from message buses, real-time Excel, or CEP engines
- Ability to visualize true time series data stored in column-oriented, in-memory databases
- Ability to support SAP HANA databases
- Setting up visualizations with time series data requires a good understanding of how the software works. I would like it to be more intuitive. Having said that, time series data is inherently complicated and I don't see any obvious ways to make it simpler. But I'm not a software designer myself; they could put more resources into the user experience.
- Their video training is really helpful and they have a big library of videos, but the videos get out of date as they come out with new versions. I can imagine that it's difficult to keep all the videos updated, but it would be great if the videos were always using the latest major version of the product.
- They need more visualizations. They have a pretty big collection now but it seems like there is often some other way to present and visually analyze data that would be a better/tighter fit with requirements than the visualizations available in the standard product. I understand it is possible to add more visualizations - custom visualizations - but that's beyond my expertise.
September 12, 2014
Datawatch Monarch/Modeler and RMS: Very effective for data mining from legacy reports.
Some end users and data analysts in our organization use Datawatch Monarch to extract data from mainframe reports. We also have Datawatch Monarch RMS running on our IBM Content Manager On Demand (CMOD) report distribution platform, which allows users to extract their data without running Monarch themselves.
- Creating a basic model to extract data from a report is very easy.
- Advanced features like Calculated Fields and External Lookups allow you to augment the raw data.
- You can create a "project" to automate the data extraction. Combined with Datapump (a separate DW app), you can fully automate the process once the raw report is generated.
- Moving fields around in a model can be very cumbersome because you can't overlay them.
- Moving models between different versions of Monarch can be a pain.
- I'd love to see a utility that would combine the field lists from a collection of models. This would help us standardize our field definitions.
July 21, 2014
Datawatch services review
It was used by the whole organization.
- Ease of use
- Ease of managemet
- Proactive monitoring
- Graphical interface
July 18, 2014
Datawatch Modeler review
Datawatch is used extensively by our finance department to export large, unformatted reports quickly into Excel while extracting only the relevant info.
- It allows us to quickly dump large non-ALV SAP reports into Excel. Exporting these reports prior to Modeler was cumbersome at best.
- Customizable models allow us to easily gather required data from the same report running different dates. This is perfect for month-end reports.
- Quick exports.
- Editing the models is not intuitive and takes a fair amount of training. Datawatch should work on their GUI.
July 02, 2014
Datawatch - Great Product, New (ouch) Pricing!
Datawatch Monarch text editing software is utilized by hundreds of users across our organization. It is the best text editing solution for downloaded mainframe reports, and allows end users to quickly render their own data. The Monarch software is intuitive, flexible, and easy to use. Datawatch Data Pump solution was implemented over 8 years ago by our regional IT department as a logical extension of how we use Monarch. Data Pump is used to schedule and output hundreds of processes and reports we have created over the years to support departments across our supply chain, and links extremely well to data we maintain in SQL.
- Monarch is very flexible, easy to use, and intuitive. It links well with other data sources, and has a wide array of calcs available for power users.
- Data Pump is a logical conclusion for those who are familiar with Monarch xprj's. Once a project's model, data source, and data destination are established, it makes sense to want to automatically schedule it. Data Pump makes it easy to group, organize, schedule, track and trouble-shoot multiple projects in one place.
- Recently, we had some major sticker-shock when we wanted to upgrade Data Pump. It is an exceptional product, but when the price jumped from $6,000 to over $60,000, it was impossible to get the funds approved internally for the upgrade.
- We also paid for yearly maintenance contracts which included Professional Services, but rarely found those services beneficial. However, we did receive all software upgrades for Datapump as part of the contract which we found to be very beneficial. However, with the new pricing, that is not longer the case.