SAS Business Intelligence

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: 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.

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: It is one of the most intuitive software I've ever tried, very user friendly and very efficient (both usability and ease)

Avantages: Excellent visualization tools such as heat maps, all in all is an easy software because it does not require long training sessions (for the front end is very intuitive), everyone can do dashboard autonomously (once the programmer has prepared the cloud data and standard fields). Excellent feature that allows users to share comments directly on the charts (on the Qlik suite is not possible for example)

Inconvénients: It would be interesting to add the tool to create stories, or dynamic presentations (such as power point), obviously the price is high (like the most BI software), so it makes the software suitable only for large companies. The minimum requirements for accommodating the engine on the server are high

Commentaires: I have a great experience with this tool as this is very easy to use and EDA(Exploratory Data Analysis) through charts are very much effective and attractive

Avantages: Coding is pretty much easy and visualization is best. Also, customer support is high and It can fetch billions of records for processing and processing speed is very high.

Inconvénients: Only one factor which makes negative about this product is the price, which is really very high. For which Tableau and R can work together for giving the same results.