What users are saying about
Top Rated
41 Ratings
Top Rated
41 Ratings
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Score 8.7 out of 101
47 Ratings
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Score 8.4 out of 101

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Likelihood to Recommend

Anaconda

Anaconda is great for academic and private organizations that cannot afford more expensive Python/R package managers. Also, it is more appropriate for intermediate to advanced Python users--Anaconda can be somewhat frustrating for beginners, as it takes some practice to get comfortable with the workflow. I find it particularly useful for working in teams, because if everyone uses the same package manager, it is easier to troubleshoot issues and makes for reproducible research. For wealthier organizations, a premium package management system (with tech support) would be ideal. Anaconda is also great for people working independently on code development.
Maike Holthuijzen profile photo

SAS Business Intelligence

SAS BI is a great BI tool as it incorporates the advantage of SAS which is proven to be robust over the years. SAS BI is more suitable for a relatively larger organization which is looking for self-service BI tools where most of the users are not technically proficient. Also, since license fee is an on a higher end, smaller organizations will find it hard to afford SAS.
Tapan Jain profile photo

Feature Rating Comparison

Data Exploration

Anaconda
7.5
SAS Business Intelligence
Visualization
Anaconda
7.0
SAS Business Intelligence
Interactive Data Analysis
Anaconda
8.0
SAS Business Intelligence

Data Preparation

Anaconda
7.0
SAS Business Intelligence
Interactive Data Cleaning and Enrichment
Anaconda
7.0
SAS Business Intelligence
Data Transformations
Anaconda
8.0
SAS Business Intelligence
Data Encryption
Anaconda
6.0
SAS Business Intelligence
Built-in Processors
Anaconda
7.0
SAS Business Intelligence

Platform Data Modeling

Anaconda
5.7
SAS Business Intelligence
Automated Machine Learning
Anaconda
4.0
SAS Business Intelligence
Single platform for multiple model development
Anaconda
7.0
SAS Business Intelligence
Self-Service Model Delivery
Anaconda
6.0
SAS Business Intelligence

Model Deployment

Anaconda
4.5
SAS Business Intelligence
Flexible Model Publishing Options
Anaconda
5.0
SAS Business Intelligence
Security, Governance, and Cost Controls
Anaconda
4.0
SAS Business Intelligence

BI Standard Reporting

Anaconda
SAS Business Intelligence
7.3
Pixel Perfect reports
Anaconda
SAS Business Intelligence
7.7
Customizable dashboards
Anaconda
SAS Business Intelligence
7.6
Report Formatting Templates
Anaconda
SAS Business Intelligence
6.6

Ad-hoc Reporting

Anaconda
SAS Business Intelligence
7.3
Drill-down analysis
Anaconda
SAS Business Intelligence
7.5
Formatting capabilities
Anaconda
SAS Business Intelligence
7.5
Integration with R or other statistical packages
Anaconda
SAS Business Intelligence
6.0
Report sharing and collaboration
Anaconda
SAS Business Intelligence
8.4

Report Output and Scheduling

Anaconda
SAS Business Intelligence
8.6
Publish to Web
Anaconda
SAS Business Intelligence
8.0
Publish to PDF
Anaconda
SAS Business Intelligence
9.0
Report Versioning
Anaconda
SAS Business Intelligence
8.7
Report Delivery Scheduling
Anaconda
SAS Business Intelligence
8.7
Delivery to Remote Servers
Anaconda
SAS Business Intelligence
8.5

Data Discovery and Visualization

Anaconda
SAS Business Intelligence
8.1
Pre-built visualization formats (heatmaps, scatter plots etc.)
Anaconda
SAS Business Intelligence
7.5
Location Analytics / Geographic Visualization
Anaconda
SAS Business Intelligence
7.7
Predictive Analytics
Anaconda
SAS Business Intelligence
9.0

Access Control and Security

Anaconda
SAS Business Intelligence
8.8
Multi-User Support (named login)
Anaconda
SAS Business Intelligence
8.5
Role-Based Security Model
Anaconda
SAS Business Intelligence
8.6
Multiple Access Permission Levels (Create, Read, Delete)
Anaconda
SAS Business Intelligence
9.0
Single Sign-On (SSO)
Anaconda
SAS Business Intelligence
9.1

Mobile Capabilities

Anaconda
SAS Business Intelligence
6.9
Responsive Design for Web Access
Anaconda
SAS Business Intelligence
8.0
Dedicated iOS Application
Anaconda
SAS Business Intelligence
6.3
Dedicated Android Application
Anaconda
SAS Business Intelligence
6.3
Dashboard / Report / Visualization Interactivity on Mobile
Anaconda
SAS Business Intelligence
7.0

Application Program Interfaces (APIs) / Embedding

Anaconda
SAS Business Intelligence
7.4
REST API
Anaconda
SAS Business Intelligence
8.0
Javascript API
Anaconda
SAS Business Intelligence
7.3
iFrames
Anaconda
SAS Business Intelligence
6.3
Java API
Anaconda
SAS Business Intelligence
7.0
Themeable User Interface (UI)
Anaconda
SAS Business Intelligence
10.0
Customizable Platform (Open Source)
Anaconda
SAS Business Intelligence
6.0

Pros

  • Integration of the most popular and useful Python packages
  • Managing multiple execution environments
  • Management of package dependencies
Daniel Blazquez profile photo
  • Presentation of complex data in an easy-to-understand layout
  • Self-service querying of data on both mobile and desktop devices
  • Business Objects allows users to save report layouts for use in future queries
No photo available

Cons

  • Easier migration to cloud sharing
Daniel Blazquez profile photo
  • The cost for SAS Business Intelligence con prove to be a little bit prohibitive.
  • The training for SAS Business Intelligence is often difficult to arrange and has often been canceled due to not enough people enrolled.
  • Support at Universities used to be limited but I hear that this is changing.
Donald Wildeboer profile photo

Likelihood to Renew

No score
No answers yet
No answers on this topic
SAS Business Intelligence9.3
Based on 3 answers
SAS really is the cutting edge in Business Intelligence. That is all they do! They are constantly coming out with new products, product upgrades, and their tech support is second to none. In addition, their support of Education has made our ability to acquire their product possible.
Nicole Jagusztyn profile photo

Support

No score
No answers yet
No answers on this topic
SAS Business Intelligence10.0
Based on 1 answer
When you call tech support, you are immediately routed to a person who can answer your question. Often they can answer on the spot. However, if they cannot, you are given a track number and then followed up with. There have been times when I have had multiple track numbers open and they will actually TRACK YOU DOWN to ensure that your problem has been resolved. Issues do not fall into black holes with SAS. They are also willing to do a WebEx with you to diagnose the problem by seeing your environment, which is always helpful.
Nicole Jagusztyn profile photo

Alternatives Considered

Anaconda is way easier to set-up. On Anaconda we have users working on Machine Learning in minutes, where on PyCharm is takes a lot longer to set-up and often involves getting help from IT. PyCharm is easier to integrate with Code repositories (such as GitHub), so if that's very important to you, you might want to take a look at PyCharm
No photo available
I have used Crystal Reports, Jaspersoft and SQL Server Reporting Services (SSRS). I would recommended Business Intelligence over SSRS and Crystal Reports. SSRS is very SQL-centric and Crystal Reports is more of an end-user tool. I would recommend Jaspersoft over Business Intelligence for developing a seamless web-based reporting interface but I highly recommend Business Intelligence for end-user ad-hoc reporting.
No photo available

Return on Investment

  • It has helped our organization to work collectively faster by using Anaconda's collaborative capabilities and adding other collaboration tools over.
  • By having an easy access and immediate use of libraries, developing times has decreased more than 20 %
  • There's an enormous data scientist shortage. Since Anaconda is very easy to use, we have to be able to convert several professionals into the data scientist. This is especially true for an economist, and this my case. I convert myself to Data Scientist thanks to my econometrics knowledge applied with Anaconda.
Mauricio Quiroga-Pascal Ortega profile photo
  • Positive Impact: better customer service. We have been able to deliver reports that will help multiple employees and implement any feedback they have on those reports quickly.
  • Positive Impact: increased inter-departmental discussions. We have long had a problem working in silos. Now we are pulling data from multiple departments into one report, and it becomes easy to see how what one department is doing in affecting another. We had a meeting to discuss a preliminary report on course scheduling efficiency. It included data from our Facilities folks and our academic Deans. Once we put the numbers up on the screen, there spawned a helpful discussion about how what one department can do to help another.
  • Positive Impact: organizational transparency. For the first time, our users are exposed to a wealth of data about themselves and other areas of the college. It is starting to make some question the way we do business, and if there is a better way.
Nicole Jagusztyn profile photo

Pricing Details

Anaconda

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

SAS Business Intelligence

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details