

Find out what your peers are saying about Oracle, Anaplan, Domo and others in Business Performance Management.
I have seen a return on investment because the software has been really helpful, especially for our financial team, in minimizing manual data entry by more than 80% and this enables them to focus on more holistic data analysis and other business strategies.
The enterprise subscription offers more benefits, ensuring valuable outcomes.
We have a multi-level support system, with the initial level handled by the company we bought the license from and subsequent support from IBM.
Instead, we rely on third-party partners recognized by IBM, who provide cost-effective support.
They provide callbacks to ensure clarity and resolution of any queries.
IBM Planning Analytics is very cost-effective, and it grows with my organization as it is a very scalable tool.
Scalability is straightforward but it is pricey since it's a SaaS model priced per user.
Scalability is quite hard to implement in TM1, largely since the on-premise installation chosen back in 2014.
This stability is really important as we use it for budget calculation, which is time-consuming.
IBM Planning Analytics is stable, but it sometimes shows a performance lagging issue whenever large volumes of data inputs are provided.
SAS Visual Analytics is stable and manages data effectively without crashing.
Some of the main challenges with IBM Planning Analytics are the installation, which requires multiple complex configurations, challenges, and training.
IBM's visualization needs significant improvement.
The abundance of features results in complexity, requiring strict guidelines for developers to ensure simplistic approaches are adhered to.
In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI.
TM1 is quite expensive, and I'd rate the pricing as an eight out of ten.
The pricing is nothing compared to the advantages and productivity that we have seen over recent years since starting to use IBM Planning Analytics, so it is very cost-effective.
While IBM's solutions were costly before, the introduction of SaaS models has reduced prices significantly.
It also integrates machine learning and AI engines, enabling us to use algorithms for inventory forecasting which optimizes our inventory and replenishment rates.
Its stability helps controllers win time in their planning processes.
My financial team has enjoyed the software, which has helped minimize manual data entry by more than 80% and focus on more holistic data analysis and business strategy.
In terms of reporting, it is easy to extract quick reports and provides graphical representations of the data, which is a great feature.
| Product | Market Share (%) |
|---|---|
| IBM Planning Analytics | 4.9% |
| Anaplan | 7.4% |
| CCH Tagetik | 5.7% |
| Other | 82.0% |
| Product | Market Share (%) |
|---|---|
| SAS Visual Analytics | 2.1% |
| Tableau Enterprise | 11.3% |
| Qlik Sense | 5.6% |
| Other | 81.0% |

| Company Size | Count |
|---|---|
| Small Business | 16 |
| Midsize Enterprise | 4 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 8 |
| Large Enterprise | 19 |
IBM Planning Analytics is an integrated planning solution that uses AI to automate planning, budgeting, and forecasting and drive more intelligent workflows.
Built on TM1, IBM’s powerful calculation engine, this enterprise performance management tool allows you to transcend the limits of manual planning and become the Analytics Hero your business needs. Quickly and easily drive faster, more accurate plans for FP&A, sales, supply chain and beyond.
SAS Visual Analytics is a data visualization tool that is used for reporting, data exploration, and analytics. The solution enables users - even those without advanced analytical skills - to understand and examine patterns, trends, and relationships in data. SAS Visual Analytics makes it easy to create and share reports and dashboards that monitor business performance. By using the solution, users can handle, understand, and analyze their data in both past and present fields, as well as influence vital factors for future changes. SAS Visual Analytics is most suitable for larger companies with complex needs.
SAS Visual Analytics Features
SAS Visual Analytics has many valuable key features. Some of the most useful ones include:
SAS Visual Analytics Benefits
There are many benefits to implementing SAS Visual Analytics. Some of the biggest advantages the solution offers include:
Reviews from Real Users
Below are some reviews and helpful feedback written by PeerSpot users currently using the SAS Visual Analytics solution.
A Senior Manager at a consultancy says, “The solution is very stable. The scalability is good. The usability is quite good. It's quite easy to learn and to progress with SAS from an end-user perspective.
PeerSpot user Robert H., Co-owner at Hecht und Heck GmbH, comments, “What I really love about the software is that I have never struggled in implementing it for complex business requirements. It is good for highly sophisticated and specialized statistics in the areas that some people tend to call artificial intelligence. It is used for everything that involves visual presentation and analysis of highly sophisticated statistics for forecasting and other purposes.
Andrea D., Chief Technical Officer at Value Partners, explains, “The best feature is that SAS is not a single BI tool. Rather, it is part of an ecosystem of tools, such as tools that help a user to develop artificial intelligence, algorithms, and so on. SAS is an ecosystem. It's an ecosystem of products. We've found the product to be stable and reliable. The scalability is good.”
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