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Since using this tool, I can now make decisions faster, even when there is just a small change in the data.
We see a return on investment with IBM Planning Analytics as we are able to forecast the budget for the entire year with significant time saving.
I have seen a return on investment such as a thirty percent increase in efficiency.
The biggest return on investment is the time saving for the customer.
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.
The customer support for IBM Planning Analytics is very responsive and supportive 24/7.
I would rate the customer support a solid 10.
I am totally satisfied with technical support from Qlik.
It handles literally every single data we give to it without lagging or crashing.
Scalability is quite hard to implement in TM1, largely since the on-premise installation chosen back in 2014.
Scalability is straightforward but it is pricey since it's a SaaS model priced per user.
If you want better performance with a larger volume of data, you can simply add an additional server.
The performance of IBM Planning Analytics has always been fast and reliable for my needs, even when dealing with huge volumes of data.
This stability is really important as we use it for budget calculation, which is time-consuming.
The abundance of features results in complexity, requiring strict guidelines for developers to ensure simplistic approaches are adhered to.
IBM's visualization needs significant improvement.
IBM Planning Analytics does not work offline, which makes it difficult for me and my team to work or gather required data when we do not have an internet connection.
In QlikView, I believe the improvement that should be made is to bring the costs down, as you'll have to be competitive with Power BI, aiming for at least a 30% reduction to stop the hemorrhaging to Power BI.
It would be beneficial to have AI or ML features in QlikView.
TM1 is quite expensive, and I'd rate the pricing as an eight out of ten.
While IBM's solutions were costly before, the introduction of SaaS models has reduced prices significantly.
Regarding pricing, the cost is high compared to the competitors of IBM Planning Analytics.
The license cost per user or per year for QlikView is about 500 Euros annually.
I would rate the pricing for QlikView as not cheap, but it is reasonable.
Its stability helps controllers win time in their planning processes.
It also integrates machine learning and AI engines, enabling us to use algorithms for inventory forecasting which optimizes our inventory and replenishment rates.
The scenario modeling feature in IBM Planning Analytics is probably the most robust planning and forecasting solution we use, especially for what-if scenarios.
The best features in QlikView are rapid development, the fact that I can do what I want in QlikView, and full control along with ease of use.
Building metrics using simple language, similar to what you have in Excel, is what I have found most valuable in QlikView.
| Product | Mindshare (%) |
|---|---|
| IBM Planning Analytics | 4.0% |
| Anaplan | 5.8% |
| Workday Adaptive Planning | 5.6% |
| Other | 84.6% |
| Product | Mindshare (%) |
|---|---|
| QlikView | 3.5% |
| Tableau Enterprise | 13.7% |
| Microsoft Power BI | 12.7% |
| Other | 70.1% |

| Company Size | Count |
|---|---|
| Small Business | 18 |
| Midsize Enterprise | 4 |
| Large Enterprise | 18 |
| Company Size | Count |
|---|---|
| Small Business | 73 |
| Midsize Enterprise | 36 |
| Large Enterprise | 76 |
IBM Planning Analytics offers a robust planning, budgeting, and forecasting platform powered by TM1 technologies, integrating with Excel while offering real-time calculations, data governance, and security.
Supporting flexible scenario modeling and forecasting, IBM Planning Analytics enhances planning processes via machine learning, real-time data calculations, and meaningful collaboration. In-memory processing and data slicing boost automation, reduces errors, and increase performance, while the centralized database facilitates secure and governed data management. Sandbox environments assist users in testing scenarios, and integration with Excel is crucial for financial planning and resource allocation.
What are the key features of IBM Planning Analytics?In multiple industries, IBM Planning Analytics is key in supporting budgeting, planning, and forecasting efforts. Financial services use it for cash flow modeling and resource allocation, while manufacturing sectors benefit from its dashboard-driven data visualization capabilities. Businesses utilize its robust reporting and real-time analysis functionalities to manage resources and assess future risks effectively.
QlikView enhances data analysis with its associative data model and rapid in-memory processing, providing dynamic dashboards and robust visualization, while efficient data integration allows connections to multiple sources.
QlikView offers powerful analytics and insight generation capabilities through its integration with Salesforce, enabling real-time sales data access. Its customizable dashboards are complemented by scripting for complex calculations and QVDs for performance optimization. Designed to be user-friendly, it supports ETL processes and diverse data browsing, allowing users to interact with data intuitively. However, there is room for improving licensing complexities, scalability, and self-service functionality. Additional enhancements are desired in visualization, integration with Qlik Sense, and predictive analytics support.
What are QlikView's key features?QlikView finds use in building business intelligence dashboards across sectors, integrating with Salesforce for analytics, supporting financial planning, and tracking sales. Its intuitive interface aids manufacturing companies in KPI monitoring and informs commercial decisions. The tool enhances reporting, ETL processes, and diverse data source integration, facilitating offline data access.
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