illumin vs. Q Research Software

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
illumin
Score 0.0 out of 10
Mid-Size Companies (51-1,000 employees)
illumin is a fully cloud-based research and knowledge data management tool. It is not merely a help desk option. It collects, records, quantifies, and precis's request queries from an organisation's users and provides responses to them from researchers. The resulting requests and responses becomes a comprehensive, audited database of information that can be easily shared. The knowledge base that is built can be searched by users and researchers alike. With its analytical reporting feature and…N/A
Q Research Software
Score 10.0 out of 10
N/A
Q Research Software, a division of Displayr, offers a predictive analytics application for marketers, designed to be easier to use by automating correct statistical to use, drag-and-drop interface for building models, and the ability to read many types of files (e.g. SPSS data files) and able to output the desired file type for presentation, with graphics.N/A
Pricing
illuminQ Research Software
Editions & Modules
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Offerings
Pricing Offerings
illuminQ Research Software
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional DetailsFree demonstration available
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User Ratings
illuminQ Research Software
Likelihood to Recommend
-
(0 ratings)
10.0
(0 ratings)
User Testimonials
illuminQ Research Software
Likelihood to Recommend
No answers on this topic
We use Q for quantitative data. If you know what you are doing it can still take a bit of time to manipulate your data into the most suitable format for the software to help you. But it is time well spent because once it's set up, Q makes the analysis a breeze. We use it for producing data tables, word clouds, significance testing, audience segmentation and coding of open-responses.
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Pros
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  • Produces really easy to view tables
  • Automatically applies significance testing to data, helping the user spot trends
  • Create and insert your own variables and filters to help manipulate the data
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Cons
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  • The pricing model is a little restrictive for smaller teams that only really need one license but have to buy a 2nd to help out modest users/users learning the ropes.
  • Learning the basics can take quite a bit of time but they offer plenty of free resources that help you through it step-by-step
  • Too be honest, I don't have too many complaints
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Alternatives Considered
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We still use Excel in order to use Q, but all the analysis happens in Q. No need to learn formulas or reformat spreadsheets. Q does all the heavy lifting.
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Return on Investment
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  • Time saving - not exaggerating when I say we can do at least 10x the amount of analysis than we could without it
  • More thorough insights obtained from our data sets
  • Makes data engaging to other stakeholders
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ScreenShots