SAS Business Intelligence

Commentaires: 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.

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.

Commentaires: 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.

Commentaires: 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

Commentaires: 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