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Microsoft Power BI vs SAS Visual Analytics vs TIBCO Statistica comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Mindshare comparison

BI (Business Intelligence) Tools Mindshare Distribution
ProductMindshare (%)
Microsoft Power BI9.3%
Tableau Enterprise6.7%
Amazon QuickSight3.7%
Other80.3%
BI (Business Intelligence) Tools
Data Visualization Mindshare Distribution
ProductMindshare (%)
SAS Visual Analytics1.8%
Tableau Enterprise11.0%
Domo5.7%
Other81.5%
Data Visualization
Predictive Analytics Mindshare Distribution
ProductMindshare (%)
TIBCO Statistica3.0%
Alteryx7.6%
Anaplan6.8%
Other82.6%
Predictive Analytics
 

Featured Reviews

Antonio Flor - PeerSpot reviewer
Lead Anaplanner at Chaucer Group
Data integration has improved reserving and expense control while collaboration drives fast dashboards
Regarding drawbacks or weak points in Microsoft Power BI, it may not be directly related to the tool itself, but with our architecture, as we couldn't get a service account, which is an email address that has no relationship with the employees, just to establish the connection with Anaplan. We couldn't get it to work on SSO, so we use an employee account which could be a point of weakness, meaning if the person leaves, that connection will break. If the person goes on holiday and we need to refresh, we have to change the connection as well, but we have to live with that since we're not using SSO on the service account. Regarding the natural language processing feature, we're trying to avoid using it too much because it can slow down the connection, so as much as possible, we try to build the logic and any transformation in Anaplan, and then deliver an end product to Microsoft Power BI.
AN
Senior Manager: ICT Compliance at DEPARTMENT OF PUBLIC SERVICE AND ADMINISTRATION
Enables effective data management and reporting with a straightforward setup
SAS Visual Analytics is helpful as it allows us to perform any queries we need. The ability to query information from our Excel data into SAS to view specific data is invaluable. In terms of reporting, it is easy to extract quick reports and provides graphical representations of the data, which is a great feature.
reviewer2038860 - PeerSpot reviewer
Key Account Manager at a tech services company with 11-50 employees
Provides versatility in analysis and problem-solving
I use TIBCO Statistica for quality control, creating profile control charts, and employing basic statistical tools in production. Some clients prefer advanced options like neural networks and decision trees for more in-depth analysis. TIBCO Statistica helps us meet a range of statistical needs for…

Quotes from Members

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

Pros

"The visuals are great and make everything look very professional. We can change the look and feel or manipulate the data according to our requirements. It's extremely flexible."
"The amount of customization that you can do is good, and it's relatively straightforward to do, as people with limited experience in terms of coding can implement this themselves."
"Power BI has strong support from Microsoft. If you need help, they answer promptly. There are also several discussion groups where you can get information, like the product roadmap and any new things coming up."
"The most valuable feature is the infinite possibilities when it comes to visualizations."
"The tool is very flexible so it allows creativity."
"The various different ETL tools within it and the ability to have different data refreshes and scheduled refreshes [real-time data refresh capabilities] have most significantly improved the data analysis processes."
"It is useful for bringing visualization to data. It calculates counts, ratios, etc."
"Two valuable most features are the ability to create columns and create measures."
"The technical support services are good."
"It is a very stable solution."
"The tool's most valuable features are its ease of use and advanced data visualization capabilities."
"What I really love about the software is that I have never struggled in implementing it for complex business requirements."
"I believe that the possibilities for exploring data and formulating visual results are quite good because it allows the business analyst to have different perspectives on the data."
"We've found the product to be stable and reliable."
"It was helpful for creating KPI dashboards to report the status of the operations of the entire company to the management."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"One of the best features of TIBCO Statistica is its block-based solution building."
 

Cons

"The user interface could be a bit more intuitive so that it's a bit easier to use."
"The default parameters of the prompt could be improved by including a dynamic option."
"In Microsoft Excel, you are able to have tabs. However, in Microsoft BI you do not have this flexibility."
"It should have more integrations."
"Microsoft Power BI can be confusing, because it has two languages that you need to learn if you want to use it, and this makes it more difficult for nontechnical users."
"Maybe they can enhance the UI a bit. Right now, it's very basic, I would say, compared to the MicroStrategy or Qlik."
"This solution is resource-heavy. I would like to see it consume fewer resources."
"The integration with third-party products could be more stable."
"The graphics capabilities of SAS focus on SAS / BASE and SAS / Enterprise Guide and, without considering SAS / Visual Analytics is licensed part, they are pretty fair."
"The LAZR server did not like some datasets being uploaded which was perfectly fine to visualise in something as simple as Excel."
"The installation process can be a bit complex."
"There is no business intelligence application that is predefined, which is something some customers or prospects would love to have."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"The preliminary setup is complex."
"It is not as mature as competitors such as Tableau and QlikView."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"TIBCO Statistica could improve by expanding its neural network capabilities to support multi-layer networks, addressing user demands for advanced tasks like image analysis."
 

Pricing and Cost Advice

"The price of Microsoft BI is expensive. We found the price of Tableau to be less expensive."
"The solution’s pricing is reasonable."
"The pricing is reasonable."
"Microsoft BI is not very cheap. A premium license costs roughly 5,000 euros a month."
"It is reasonably priced."
"The Report Server is pretty expensive on-premise. But as long companies are happy to use the cloud version, that's very cost effective."
"Power BI comes with enterprise Microsoft licensing. So for the user, you don't have to pay, but you do have to pay a one-time cost."
"The cost of the solution is more flexible for us because the desktop is free and we pay as we use it in the cloud."
"SAS Visual Analytics is expensive, as is the rest of the platform."
"$10,000 per annum for an enterprise license."
"The cost of the solution can be expensive. There is an additional cost for users."
"Licensing is simple."
"Visual Analytics is expensive for a small company like mine. You also need to deploy it on a server or cloud, so you pay for the license as well as the cost of the cloud or the server that you will deploy on."
"It's approximately $114,000 US dollars per year."
"The product is expensive."
"The product is quite expensive."
Information not available
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Comparison Review

it_user79932 - PeerSpot reviewer
Senior Manager - BI Head with 5,001-10,000 employees
Feb 4, 2015
Comparison of SAP BO, Tableau, QlikView, Cognos, Microsoft, OBIEE and Pentaho
1. SAP BO/BI Enterprise scalability Security Ease of use Semantic layer 2. Tableau Visualization Data discovery Turnaround time 3. IBM Cognos Enterprise scalability Security In-memory feature 4. MS BI - Flexibility 5. Pentaho - Open source but still enterprise grade 6. QlikView Data…
 

Top Industries

By visitors reading reviews
Financial Services Firm
11%
Manufacturing Company
9%
Government
8%
Computer Software Company
6%
Financial Services Firm
14%
Government
10%
Construction Company
8%
University
7%
Educational Organization
18%
University
16%
Construction Company
9%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business135
Midsize Enterprise58
Large Enterprise166
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise8
Large Enterprise19
No data available
 

Questions from the Community

Seeking lightweight open source BI software
There are many...It would rather depend what System BI architecture or Enterprise legacy you have at your end...I wou...
Is Power BI a complete platform or only a visualization tool?
Power BI is an advanced visualization tool oriented to big data with a very complete set of widgets to visualize info...
How does Oracle OBIEE compare with Microsoft BI?
Oracle OBIEE is great in allowing design and creativity per the individual needs of the organization. Dashboards are ...
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...
What is your primary use case for SAS Visual Analytics?
I started to work with SAS Visual Analytics ( /products/sas-visual-analytics-reviews ) in 2015. We use it for analysi...
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Also Known As

SSRS, SSAS, MSBI, MS Reporting Services, Microsoft BI Tools, Microsoft Big Data, Power BI Pro, MS BI
SAS BI
Quest Statistica, Dell Statistica
 

Overview

 

Sample Customers

Accenture Adidas Aetna AIG Airbus Alibaba Allstate Amazon American Express Aon AT&T Audi Bank of America BASF Bayer Berkshire Hathaway Boeing Coca-Cola Comcast Cisco Coca-Cola Dell Disney Emirates Equinix FedEx Ford GE Google H&M Home Depot Honda IBM Intel JPMorgan Chase Kellogg's Kroger L'Oréal McDonald's Merck MetLife Microsoft Nike Oracle P&G PepsiCo Procter & Gamble Prudential Financial SAP Siemens Snapchat Spotify Starbucks Target Toyota T-Mobile Unilever Visa Walmart WeWork World Bank Xerox
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.
Danske Bank
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