4 out of 5.0, Reviewed Nov 30, 2016
SAS VA works well for our data needs. Our objective was to automate and standardize marketing campaign reporting, which the tool was able to do efficiently.
Look at both difficulty level to build project and user ability to use output.
3 out of 5.0, Reviewed Nov 17, 2016
Tech support has been really good. But the product rollout with new features has not been up to mark with the industry. They have to catchup to rest of the industry on cutting edge features .
Analyze not only the existing product present, but try to look for their future rollouts, plan of their product intergation with other systems, cloud offerings and cutting edge technologies etc.
Tech support /centralized memory management.
Existing version is flash based. We are looking to move to new version 7.4 or 8.1 where it's HTML5 based.
More product features competitive enough to be cutting edge with technologies. Also tighter integration with Bigdata solutions.
5 out of 5.0, Reviewed Aug 16, 2016
SAS Advanced Analytics Lab provided exceptional data scientists that could understand business value, construct methods to impute data gaps, and was passionate about the data discovery. They understood the objectives desired of the models and formulated the data approach. Unintended benefits were realized by the analysis of the data. We continue to develop our internal analytics and data science capabilities. SAS' success with our models provided the business case to develop and invest in this core capability.
If developing an internal core competency has a longer ramp-up in your organization, budget ongoing operational expense to continue to use SAS to maintain your models. Models and incoming data changes. Maintenance is a must.
The skills and passion of their consulting team were impressive. They were able to describe the approaches to solve the business challenge presented.
Cost of services and product licenses are expensive.
Better articulate the next models or analytics opportunities. As they progressed through data discovery, they identified other trends not directly pertinent to the assigned scope of work.
Develop a more sustainable plan to develop internal resources, such as justification of a dedicated resources for maintenance and development of models.
Support levels have been satisfactory.
5 out of 5.0, Reviewed Nov 24, 2015
Vendor was highly skilled and competent. All small problems were resolved quickly and efficiently. Only downside, was project management at the vendors side. Sometimes it was complicated to get things moving.
Sas is a strong company. Their solutions are stable, efficient and highly performant. I love their training, because they are easy and show you how the software works behind the scenes. This company also listen a lot to their customers, which I like. They make improvements based on client feedback, and fairly quickly.
The variety of functionalities that is available with the software is incredible. You can build small applications, interact with other applications, use web services, create web services, create nice reports and so on. From my point of view, this software is limitless. It's also very stable. We've never encountered a downtime that was directly related to the SAS software, it was always something else in the infrastructure.
It's a proprietary language that you need to learn, but you get the hang of it quickly. Sometimes you need a lot of coding to come up with a beautiful output.
Lower a bit their price. We would love to implement other solutions/products from the vendor, but it can be costly for us. I wish they would also provide demo versions of their software so we could test before buying.
Nothing, everything wen't smoothly.
As stated before, I did not find any limitations for the moment to this product. It's flexible and highly customizable.
When we encountered small problems, they always answered in a timely manner and always found a solution for us.
Once we flipped the switch on, everythink was working as expected.
5 out of 5.0, Reviewed Nov 17, 2015
Strong bench strength and excellent customer support
Keep a supporting training plan and make sure you have executive sponsorship and defined deliverables for your customers to adopt the new techology.
The integration of the tools and how it connects to different data. Product follows a standard logic set whereby the features and syntax feel natural.
Wish I did it earlier.
5 out of 5.0, Reviewed Nov 2, 2015
SAS assumed joint responsibility for successful implementation, even while working with another vender we used for our Hadoop cluster. SAS was professional in every way, from mapping out project scope through knowledge transfer after successful installation. Technical support has been stellar thus far. Support staff make themselves available around the clock to their custormers and work very hard to guartantee customer satisfaction. SAS project management made it seem as though our implementation was of utmost importance. I think the one thing that really stood out with SAS, was their willingness to spend a significant amount of time prior to our purchase of the product showing us what it could do using our data.
Take advantage of the SAS training, and I would recommend this be done prior to or during implementation.
Our staff have appreciated the user friendliness of the interface. Most operations in VA consist of drag-and-drop interactions that are intuitive.
I would like to see the "Explore" capabilities added to the report editor. Some visualizations are restricted to data exploration only.
The one challenge we had with version 7.2 was the Flash interface. I applaud SAS for addressing the problem by moving from Flash to HTML 5.
I would have included the visual statistics module in the implementation plan.
Very quick to resolve issues, and again, customer satisfaction is top priority.
Installers did a great job in documenting their work and providing an overview of the configuration.
3 out of 5.0, Reviewed Jun 3, 2015
It's a complex product.
Analyze your strategic business needs. See what questions are to be answered using BI and how complex your data is. Then roadmap your BI strategy and then go for an implementation.
Do not know.
I would analyze the strategic business needs before embarking on a software toolset.
The toolset offers more than we can exploit out of it.
I wish I had done a roadmap before integration and deployment.
2 out of 5.0, Reviewed Apr 1, 2015
It was very difficult to get solution installed and integrated. Required many months of troubleshooting with the vendor before solution was stable.
Evaluate cultural fit of the vendor with your organization.
Very powerful, very well comprehensive in features and capabilities.
Difficult to use.
More due diligence in selecting the vendor instead of just going with the "industry leader".
This is a very good advanced analytics/ statistical tool.
Always timely on providing support. Vendor was not effective troubleshooting installation and deployment problems.
Very bumpy and largely unsuccessful deployment
4 out of 5.0, Reviewed Mar 31, 2015
Moving from a desktop and coding base to a Server base and standing up our own server was and is a challenge that has not been overcome at this point.
Have the right staff to back the project. Have the vendor assist in implementation with consistant hands on.
Once the learning curve is overcome, the bells and whistles are stupendous.
Not knowing why when things don't work. Error messages are not clear and concise.
Configure the server load to our business model and not load a "one-size fits all" on our "out of the box" approach.
If starting over was an option, it would be advantageous to look at other solutions, get IT buy in, and ensure server administration training before load. Have the power users test the products, first.
The capabilities are vast.
The responsiveness for service and support is excellent and timely.
Still struggling through this phase. There are three deliverables that were implemented on time with the help of the vendor. There has been no phase 3 of further deliverables because of server issues.
4 out of 5.0, Reviewed Mar 31, 2015
Do a proof of concept before going full speed.
Ease of use
No support for embedded analytics or I O T.
Broaden evaluation criteria to include new technologies.