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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.
I would say out of all the support experience I've had, only 5% took quite a long time to respond to the support message.
I would say at the moment, so far, good in the sense of Amazon's technical support.
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.
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.
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.
Understanding how AWS charges for Amazon QuickSight usage is critical for all users wanting to visualize their data effectively.
For example, making automation for filling missing data or reformatting incorrect data formats, and making date corrections.
On the analytics side, we are migrating into Amazon QuickSight. One of the products is already migrating, and the rest is in the pipeline.
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.
It is not expensive, but it is also not cheap.
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 natural language query is very important, and natural language processing is crucial for disseminating dashboards across multiple formats and mechanisms.
You can measure the progress of sales, and you can measure the weakness or lowest activity of sales in some areas and determine how to improve it.
Interactive dashboards do help with data analysis.
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.
| Product | Mindshare (%) |
|---|---|
| Amazon QuickSight | 3.1% |
| Microsoft Power BI | 7.4% |
| Tableau Enterprise | 5.9% |
| Other | 83.6% |
| Product | Mindshare (%) |
|---|---|
| IBM Planning Analytics | 4.1% |
| Anaplan | 6.2% |
| Workday Adaptive Planning | 5.4% |
| Other | 84.3% |

| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 10 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 18 |
| Midsize Enterprise | 4 |
| Large Enterprise | 18 |
Amazon QuickSight offers rapid visualization creation, cloud-native AWS integration, ease of use, scalability, and affordability. With strong data connectors and machine learning tools, it supports real-time insights and intuitive data handling.
Amazon QuickSight is designed for fast visualizations, interactive dashboards, and extensive data connectivity, making it suitable for finance and academia. Offering browser-based access and advanced security, it enables organizations to integrate data seamlessly, handling both real-time and historical insights. Despite room for improvement in visuals and integration with other cloud providers, its flexibility and powerful analytics serve diverse reporting needs efficiently.
What are Amazon QuickSight's most important features?Amazon QuickSight is employed in finance and academia, aiding in KPI tracking and analytics through efficient data integration and visualization. It supports strategic business decisions by offering insights from sources such as S3 and MySQL, making it valuable for financial reporting and research needs.
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.
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