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iDashboards VS Q Research Software

Compare iDashboards VS Q Research Software and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

iDashboards logo iDashboards

iDashboards is a business intelligence dashboard software.

Q Research Software logo Q Research Software

Q is for the interpretation, analysis, visualization and reporting of market research data.
  • iDashboards Landing page
    Landing page //
    2023-09-28
  • Q Research Software Landing page
    Landing page //
    2022-01-31

iDashboards videos

+ Add

Demonstration of iDashboards

More videos:

  • Review - iDashboards Employee Reviews - Q3 2018
  • Review - iDashboards Software

Q Research Software videos

No Q Research Software videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to iDashboards and Q Research Software)

iDashboards

Q Research Software

Data Dashboard
67 67%
Data Dashboard
33% 33
Data Visualization
100 100%
Data Visualization
0% 0
Statistics
0 0%
Statistics
100% 100
Business Intelligence
100 100%
Business Intelligence
0% 0

User comments

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What are some alternatives?

When comparing iDashboards and Q Research Software, you can also consider the following products

Google Chart Tools - Google Chart Tools is a world’s most popular tool that allows users to display their data on their website via simple or attractive visualizations.

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

SAP Lumira - Empower all types of users with SAP Lumira, a single solution for self-service data discovery, visualization, and analytic app creation.

Board - Unified BI, CPM and predictive analytics software.

Google Data Studio - Data Studio turns your data into informative reports and dashboards that are easy to read, easy to share, and fully custom. Sign up for free.

SAS Advanced Analytics - SAS Advanced Analytics product suite covers data mining, statistical analysis, forecasting, text analytics, optimization and simulation.

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