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Using Color to Increase the Visual Effectiveness of Reports

The importance of color in analytical reports can be determined by several factors. Many analysts believe that the final results/numbers will speak for themselves and overlook this vital step. Often, just knowing your audience (the person reviewing the report) can be insightful. The goal is to showcase the results in an organized, professional snapshot that encourages information absorption. Color can detract from the overall message and promote discord, so that…
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Defining text & data analytics

Brian Howard, Sales & Marketing Manager, talks about the differences between text and data analytics and how we use these insights for better business decisions.
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Creating a domain-specific dictionary using extraction nodes in PolyAnalyst

PolyAnalyst comes with several different default dictionaries such as a morphology dictionary, a synonym dictionary, and a dictionary of human names. Those generic dictionaries cover general terms that are useful for a variety of fields. However, when you work with a domain-specific dataset, such as a medical dataset or a car repair dataset, it is crucial to have domain-specific dictionaries that include related terms. Why do you need domain-specific dictionaries?…
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What is self-documenting analysis?

A classical annoyance of data analysis is the extra work required to properly record what you have done. Despite benefits of enabling others to pick up where you left off, or to help you revisit your work and still understand it later, the tedium of proper documentation tends to result in little to no documentation whatsoever. Subsequently, failure to document forms technical debt. The value of your acquired insight is…
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