From the monthly archives:

October 2009

Monarch’s Address Block Wizard

October 15, 2009

Yesterday we reviewed the functions that Monarch offers that help us extract accurate data and enhance the model’s functionality significantly.
Today on day 11 of the 30 Days to Become a Better Monarch Modeler series we’ll look at a convenience feature that is essentially a packaged collection of functions. The Address Block Wizard does a great [...]

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Employing Functions for Specialized Tasks

October 14, 2009

On day 10 of the 30 Days to Become a Better Monarch Modeler series, we’ll put Monarch’s functions to work to improve our models, both by facilitating finicky data extractions and by adding useful calculations that are based on the extracted data itself.
On day 8, I wrote about the types of calculated fields. In the [...]

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Mastering Monarch’s Table Window Controls and Layout

October 13, 2009

Having successfully extracted data from our report sources by defining custom templates to match the requirements of our reports, using what we’ve studied so far in the 30 Days to Become a Better Monarch Modeler series, we’re now likely gathering a quite a collection of data in the Table window.
At this point it might be [...]

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Mastering Monarch’s Calculated Fields

October 12, 2009

During my teen years in grade school I was a consummate math geek. I “trained” and competed in national math contests, mostly for fun. Who’d have thought, huh?
In retrospect, I probably should have gone into something like engineering, but computing drew me in. It was probably the possibility of encountering and solving endless calculations and [...]

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Breaking All The Rules

October 12, 2009

The first item up today is to supply you with the proper link for the older Monarch Report documents. In the last post I erroneously duplicated the link to the current Monarch Reports on the main Datawatch site. That has since been corrected.
Right then, let’s move on to today’s business.
On day 7 of the 30 [...]

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Monarch’s Rich History

October 10, 2009

We must welcome the future, remembering that soon it will be the past; and we must respect the past, knowing that once it was all that was humanly possible.~George Santayana
If you’re relatively new to Datawatch’s Monarch software then you really are fortunate, but it might not be for the reasons immediately spring to mind.
Having begun [...]

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Defining Fields in Monarch

October 9, 2009

I’ll be among the first to say that being a desk jockey can be tough on a person. Long days virtually tied to a desk really aren’t healthy, so after a bit of an extended absence from sports, I’ve recently returned to cycling to get more exercise. Being somewhat apprehensive, I was careful getting on [...]

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