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Dundas Dashboard vs SAS Visual Analytics comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 1, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
8.3
Dundas Dashboard enhanced collaboration and transparency, proving cost-effective with $0.50/hour usage and positive user feedback.
Sentiment score
6.3
Organizations saw varied ROI from SAS Visual Analytics, noting improved efficiency and financial tracking despite initial cost challenges.
The enterprise subscription offers more benefits, ensuring valuable outcomes.
 

Customer Service

Sentiment score
8.4
Dundas Dashboard customer service is praised for prompt and effective support, though some report limited out-of-hours assistance.
Sentiment score
6.8
SAS Visual Analytics customer service is mixed, with praise for technical support but noted gaps in business needs and regional availability.
They provide callbacks to ensure clarity and resolution of any queries.
 

Scalability Issues

Sentiment score
7.2
Dundas Dashboard reliably scales for numerous users and markets, maintaining performance, especially with SSAS, despite multi-server implementation challenges.
Sentiment score
7.8
SAS Visual Analytics effectively scales for large datasets and users, though high resource demands and expenses may concern some.
 

Stability Issues

Sentiment score
6.0
Dundas Dashboard generally stable but can slow under heavy loads; occasional crashes and obscure errors hinder reliability.
Sentiment score
7.1
SAS Visual Analytics is generally reliable but can face performance issues with large data, often due to user practices.
SAS Visual Analytics is stable and manages data effectively without crashing.
 

Room For Improvement

Dundas Dashboard needs better parameters, alternative to Silverlight, expanded visualizations, enhanced UI, easier installation, and improved documentation.
SAS Visual Analytics is complex and costly, with challenges in integration, performance, user-friendliness, and external language support.
In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI.
 

Setup Cost

SAS Visual Analytics is costly for small enterprises, but offers strong analytics and simplicity, though consulting and scaling add expenses.
 

Valuable Features

Dundas Dashboard excels in customization, ease of data integration, and offers interactive features, creative design, and helpful resources.
SAS Visual Analytics excels in data visualization, advanced analytics, and user-friendly interface with rapid processing and seamless integration.
The ability to query information from our Excel data into SAS to view specific data is invaluable.
 

Categories and Ranking

Dundas Dashboard
Ranking in Data Visualization
42nd
Average Rating
7.6
Reviews Sentiment
7.5
Number of Reviews
9
Ranking in other categories
No ranking in other categories
SAS Visual Analytics
Ranking in Data Visualization
6th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
40
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2025, in the Data Visualization category, the mindshare of Dundas Dashboard is 0.3%, up from 0.1% compared to the previous year. The mindshare of SAS Visual Analytics is 4.0%, down from 6.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization
 

Featured Reviews

reviewer2116137 - PeerSpot reviewer
It's useful for reporting on IoT KPIs, but it isn't as robust or user-friendly as some competing solutions
I was a little disappointed in Dundas. I found other tools like Tableau and Power BI to be more powerful. I intended to use Dundus as an organizational BI tool, but I think there's a significant learning curve with Dundas versus the others. The user experience and UI could also improve. It should be simpler for end users who don't have much technical knowledge. I have an IT background, but I think it might be challenging for anyone who is unfamiliar with databases.
Danna Nemeth - PeerSpot reviewer
Provides ease of use and has advanced data visualization capabilities
The initial setup can be complex and depends on the specific environment and licensing. It typically requires some time and effort to configure properly. It can be deployed as a SaaS solution or on-premises. It typically requires an installer and someone knowledgeable in business analytics and data management. Generally, it does not require extensive maintenance, though occasional upkeep might be necessary.
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
20%
Government
11%
Computer Software Company
10%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

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What do you like most about SAS Visual Analytics?
The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps w...
What is your experience regarding pricing and costs for SAS Visual Analytics?
It's about an average of five. It's easy to scale, but it comes with cost.
What needs improvement with SAS Visual Analytics?
In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI. It may be that our current subscription does not include AI-enabled features, but I wo...
 

Comparisons

 

Also Known As

No data available
SAS BI
 

Overview

 

Sample Customers

Coca Cola, Siemens, HP, Verizon, Microsoft, NHS, Scotiabank, KPMG, Bayer, Schneider Electric, Teck, Pitney Bowes, Amtrak
Staples, Ausgrid, Scotiabank, the Australian Institute of Health and Welfare, the Blue Cross and Blue Shield of North Carolina, Oklahoma Gas & Electric, Xcel Energy, and Triad Analytics Solutions.
Find out what your peers are saying about Dundas Dashboard vs. SAS Visual Analytics and other solutions. Updated: June 2025.
859,129 professionals have used our research since 2012.