9 Spokes vs iVEDiX comparison

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178 views|174 comparisons
iVEDiX Logo
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Executive Summary

We performed a comparison between 9 Spokes and iVEDiX based on real PeerSpot user reviews.

Find out what your peers are saying about Tableau, Qlik, Splunk and others in Data Visualization.
To learn more, read our detailed Data Visualization Report (Updated: April 2024).
769,599 professionals have used our research since 2012.
Ranking
33rd
out of 71 in Data Visualization
Views
178
Comparisons
174
Reviews
0
Average Words per Review
0
Rating
N/A
Unranked
In Data Visualization
Buyer's Guide
Data Visualization
April 2024
Find out what your peers are saying about Tableau, Qlik, Splunk and others in Data Visualization. Updated: April 2024.
769,599 professionals have used our research since 2012.
Comparisons
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Overview

9 Spokes is a powerful new tool that turns your business data into valuable new insights. From managing cash flow and people to growing sales, it's easier to make the right calls when you can see the big picture.

IVEDiX is a unique digital platform that integrates, analyzes, serves up data in a clear, intuitive, interactive format that makes information more actionable—ultimately leading to better performance. Developed with exhaustive input from the world of extraordinary humans all around us, iVEDiX organizes and visualizes information like no one else.

Sample Customers
World of Cycles, Gigride, Crystalclear Cleaners
Inergex, Widevision, Nothnagle, TechAccess, TEXPO, Solea
Buyer's Guide
Data Visualization
April 2024
Find out what your peers are saying about Tableau, Qlik, Splunk and others in Data Visualization. Updated: April 2024.
769,599 professionals have used our research since 2012.

9 Spokes is ranked 33rd in Data Visualization while iVEDiX doesn't meet the minimum requirements to be ranked in Data Visualization. 9 Spokes is rated 0.0, while iVEDiX is rated 0.0. On the other hand, 9 Spokes is most compared with Yellowfin, Alteryx, MicroStrategy and Amazon QuickSight, whereas iVEDiX is most compared with .

We monitor all Data Visualization reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.