SAS Business Intelligence


SAS Business Intelligence - Logo

 

32 avis (4.5/5)
 

SAS Business Intelligence is a cloud-based enterprise analysis tool that helps users monitor metrics and manage interactive reports. Designed for large businesses, the platform’s features include customizable dashboard, marketing reports, forecasting, data source connectors, ad-hoc analysis and more.

SAS Business Intelligence’s data visualization module enables users to perform automated analysis and create interactive visuals facilitating business performance. It lets teams spot corrections and make improvements based on risk assessments. Additionally, the solution’s collaboration module helps multiple users work on the same project through Microsoft Office applications such as Outlook, Powerpoint and Excel. Additionally, the product enables businesses to build report charts/graphs and enhance business knowledge and productivity across processes.

SAS Business Intelligence comes with additional features such as statistical simulation, association discovery, web services, multiple data sources, metadata management and more. Support is extended via documentation, phone and email and pricing is available on request.

 

SAS Business Intelligence - Reports
 
  • SAS Business Intelligence - Reports
    Reports
  • SAS Business Intelligence - Sales dashboard
    Sales dashboard
  • SAS Business Intelligence - Pivot chart report
    Pivot chart report
  • SAS Business Intelligence - Visualization
    Visualization
  • SAS Business Intelligence - Management console
    Management console
  • SAS Business Intelligence - Portal overview
    Portal overview
Système(s) d'exploitation pris en charge :
Mac OS, Navigateur web (indépendant du système d’exploitation)

32 avis sur SAS Business Intelligence

 

Donald W. Secteur: Services financiers Nombre d'employés:  501-1 000 employés Nombre d'employés:  501-1 000 employés

23/07/2018

23/07/2018

Provenance de l'avis : Capterra

Very powerful, flexible, and works with all third parties we need.

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The ability to connect with all third parties (that we use) and merge their data together in one system then analyze the structured information in a consistent and reliable way makes SAS Business Intelligence a very powerful system. The ability to run code that we made 10 years ago is also very nice.

Avantages

The ability to connect with all third parties (that we use) and merge their data together in one system then analyze the structured information in a consistent and reliable way makes SAS Business Intelligence a very powerful system. The ability to run code that we made 10 years ago is also very nice.

Inconvénients

The complexity and inconstancy of the product is not always the most desirable. Often times doing similar things requires very different approaches. SAS Business Intelligence has been around for such a long time that different "procs", as they are called in their system, often have extreme variance in syntax.

Tapan J. Secteur: Internet Nombre d'employés:  1 001-5 000 employés Nombre d'employés:  1 001-5 000 employés

29/01/2018

29/01/2018

Provenance de l'avis : Capterra

SAS BI - Scalable and Comprehensive BI Tool

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Avantages

It's Visual Data Exploration capabilities to visualize the data and find patterns quickly is amazing. The features such as heat maps helps us understand where most of the traffic for an advertiser is coming from and helps the advertiser to target the customers more effectively. Creating Dashboards doesn't require a lot of technical know how and anyone can start making dashboards. Also, these dashboards and reports simplifies collaboration as different people are able to share their comments by directly commenting on the visuals or charts.
Another feature which interests me is that it allows to integrate with other open source platforms like R.

Inconvénients

Such a comprehensive set of features with a brand like SAS obviously comes with a price but I find the price to be over the top for the small and medium organizations. Only a few open source platforms are supported and lot of common ones used by a lot of smaller organizations have been left out. Further, user interface looks dated and needs a facelift to match other players like Tableau.

Utilisateur vérifié Secteur: Banque Nombre d'employés:  1 001-5 000 employés Nombre d'employés:  1 001-5 000 employés

17/10/2019

17/10/2019

Provenance de l'avis : Capterra

SAS for data wrangling

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I am working as a full-time SAS developer in my current organization. SAS is easy to use and good for data wrangling purposes. If your primary goal if to work on model development I would prefer other languages like python and R which has numerous libraries and free to use.

Avantages

I worked as a Data wrangler and data scientist in my current organization. I like the ecosystem and customer support of SAS. It is easy to learn if you have basics SQL knowledge. It is faster than python/R. Preferred over open source if data privacy is a concern.

Inconvénients

The user community is not so great as compared with another open-source. SAS is pretty expensive so companies are now switching to open sources like python and R.

Steven K. Secteur: Entreposage Nombre d'employés:  2-10 employés Nombre d'employés:  2-10 employés

05/04/2017

05/04/2017

Provenance de l'avis : Capterra

Sas for business analytics

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We have been using SAS since the 1980's
We like it, but find it pricy for a small firm such as ourselves

Avantages

Feature rich

Inconvénients

Tough to learn

Ce que je conseille

Lower the price

Utilisateur vérifié Secteur: Services financiers Nombre d'employés:  5 001-10 000 employés Nombre d'employés:  5 001-10 000 employés

05/03/2019

05/03/2019

Provenance de l'avis : Capterra

Powerful but dated

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Good stuff. Dated but works.
Nothing to brag about, but checks all the right boxes

Avantages

SAS is what started the party. It's so much faster than the legacy of Cobol and mainframe based packages.
Love the advanced features and the power.

Inconvénients

Licences are expensive.
If you are using SQL you miss Moss of the raw power.
SAS procs arenot the most I tuitive.
And most importantly, newer packages re after 10x or more quicker.
Eg. IBM aginity netezza