5 out of 5.0, Reviewed Dec 2, 2016
Provide partnership to work on the overall life cycle of this program during discovery, design, deployment, development,
Develop scope ensuring the deployment of the cloud infrastructure components are required and needed with interim/future roadmap as needed.
Pre-Sales technical support.
Future roadmp of integration with cloud based capabilities.
Assign SME familiar with the to-be-deployed platform as configuration and integration varies from vendors and on-premise enterprise servcies.
Build a in-house SME team to support the lifecyle of the implementation.
5 out of 5.0, Reviewed Nov 30, 2016
Excellect, if pricey, support
Go small, ramp up over time
analytical capabilities are 2nd to none
Lighten up on the sales pitch, focus on support
Start with fewer modules
4 out of 5.0, Reviewed Nov 17, 2016
Early stages of integration are dragging. Hard to continue attention from CEO and CFO during very long implementation phase.
Think hard about how you will set expections for executives.
Leads the industry.
Does not seem to have foothold in our market area, so hard to get case studies to learn from.
Better set expectations for integration timeline.
4 out of 5.0, Reviewed Jun 17, 2016
Great statistical package. It is hard (sometimes impossible) to stop a task running on a server.
May be better to use SAS Enterprise Guide on local machines if it is possible.
It is hard (or impossible) to stop running task.
We need more control on a running task.
We satisfied with SAS selection and do this again.
3 of 3 peer(s) found this review helpful.
5 out of 5.0, Reviewed Jun 7, 2016
Generally responsive support and existing relationship with the vendor.
Open source technologies are very viable and used by analytics talent who are younger in their careers. While SAS isn't going away anytime soon, having flexibility in terms of the available tools for analysts to use in their roles makes it easier to find qualified junior level analysts to hire.
SAS Enterprise Guide is a very powerful software that does a very good job querying complex data.
SAS is very expensive.
Generally satisfied with the vendor.
Powerful sofware for both statistical analysis and data manipulation/ETL work.
Our internal IT team had experience with SAS implementation and I have a few SAS experts on my team. The integration and deployment was very smooth and quick.
4 out of 5.0, Reviewed Mar 14, 2016
Decent product but expensive.
Go Open source.
Expensive for service providers.
Go with Open source.
4 out of 5.0, Reviewed Mar 14, 2016
Working with SAS is generally hard, in my experience. The sales and technical team do not seem to communicate well. I have tried in the past to implement at a larger scale but have stopped short due to the complexity of working through getting appropriate involvement.
EG is easy to use, advanced users need to have access to tool for advance statistical analysis.
Provide better feedback on licensing options. Provide a more similar look and feel to SPSS and improve on data manangement and blending capabilities.
5 out of 5.0, Reviewed Feb 3, 2016
The vendor provide great support.
Try SAS University Edition that comes with SAS 9.4 and SAS Studio, a web interface to Base SAS.
I like the fact that the product is free and the service level is very good.
It's a little bit slow while processing large data, compare to SAS Base.
I wish they include SAS GRAPH module.
Install SAS University Edition for education.
The product is a little slow when processing large data set
The support is great
No Integration needed and the product is a standalone on my PC.
5 out of 5.0, Reviewed Dec 3, 2015
Proactive customer support when needed.
Follow the instruction more carefully. Budget some extra time for any unwanted IT network issues.
Faster and efficient for my work.
Complexity of coding. There are so many different things that can be done and so many best way of doing things. Also there is possibility of mistake due to its higher level of complexity.
A more precise instruction for specific type of IT environment.
Would have longer conversation with the vendor in presence of two persons from my organization, In case, one of them misses some important points for implementation.
We got great product support all the time.
5 out of 5.0, Reviewed Nov 17, 2015
The product overall is best of class and for an analytic team that is challenged with being on the leading edge, having a product that can keep up is critical.
Like all analytic exercises, it is all about the data. As advanced as the product is, the condition of our data is the limiting factor. One can not spend enough time structuring the data in a model that is maximized for analytic efficiencies.
The product is outstanding, best on the market. While the start-up time can be a bit protracted for more traditional programs, EG offers a powerful approach to getting analysts started fast with VA being a huge advancement in the amout of time analysts spend at their desk coding.
We have used the product since 2004 and for the analytics team have no notable dislikes...best of class for analytics.
Project management was a bit too formal given the project was time and materials.
Be more diligent with our IT partners in insisting on better data structures to insure more successful transfers of data to the cloud in a more sustainable approach that is designed to be efficient in the analytic space.
As noted elsewhere in this review, SAS is a best in class analytic product that does not encumber analytic team.
There were a few challenges along the way but SAS deployed a number of experts from within the organization to assess the situation and conduct full diagnostics beyond what we would have expected...resulting in a better understanding of future steps we may need to deploy as we load the system with additional analysts.