

IBM Planning Analytics and Software AG ARIS Process Mining compete in the business operations category with a focus on planning, analysis, and process mining. Users express higher satisfaction with ARIS for its features, while IBM excels in pricing flexibility and customer support.
Features: IBM Planning Analytics offers dynamic planning, forecasting, and budgeting tools, supporting efficient business decision-making. It boasts a unified database for data centralization, similar to Excel but with centralized storage advantages. Sandboxing and workflow functionalities support collaborative planning. Software AG ARIS Process Mining provides intricate process visualization and insightful analytics, allowing detailed process evaluation and optimization. Its Conformance Engine stands out, ensuring process performance checks and improvement measurements. Modeling capabilities provide comprehensive process insights.
Room for Improvement: IBM Planning Analytics could enhance its analytic visualization to match competitors' capabilities and further develop ease of integration with third-party data sources. Streamlining the user experience for non-technical users could drive user adoption. Enhancements in mobile functionality may also improve accessibility. Software AG ARIS Process Mining could simplify its setup process to reduce deployment complexity. Expanding its integration capabilities with diverse business platforms would broaden its use. Improvements in customer training resources may enhance user onboarding and proficiency.
Ease of Deployment and Customer Service: IBM Planning Analytics provides a straightforward cloud or on-premise deployment option, supported by comprehensive customer service. It is noted for its ease of setup, appealing to organizations valuing simplicity. Software AG ARIS Process Mining, while offering commendable support, has a more complex deployment due to detailed process integration requirements.
Pricing and ROI: IBM Planning Analytics is known for competitive pricing and significant return on investment through enhanced planning accuracy and operational efficiency. Software AG ARIS Process Mining may demand a higher initial setup cost but offers substantial ROI by improving processes and scalability. For organizations prioritizing process analytics, ARIS offers rewarding value despite higher upfront expenses.
I have seen a return on investment, as the accuracy has really improved in my organization since everything is automated.
Since using this tool, I can now make decisions faster, even when there is just a small change in the data.
The mining feature allows you to identify the bottlenecks easily, and the simulation feature integrates the ROI.
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 have been very dedicated and provided top-notch solutions.
Technical support for Software AG ARIS Process Mining is good.
IBM Planning Analytics' scalability is impressive, as it is able to gather data from multiple sources and handle huge amounts of data without any lagging or downtime.
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.
For scalability, Software AG ARIS Process Mining is fine; not perfect, but it's scalable.
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.
IBM Planning Analytics is stable because the reason we switched from IBM Cognos is that IBM Planning Analytics capability allows us to connect to multiple tools, which we could not do before.
It happens sometimes that the server is down, and if the server is not working, you cannot work.
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.
The advanced features are somewhat complex to understand, and if the data set is very large, it takes a lot of time to process, which causes performance to become slower.
Sometimes I feel there are one or two features that IBM lacks or Signavio lacks, or other tools lack, but clients say that Software AG ARIS Process Mining has everything.
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.
My experience with pricing, setup cost, and licensing for IBM Planning Analytics is that the pricing and licensing cost can be somewhat on the higher side, especially for small organizations.
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.
Some of the valuable features of IBM Planning Analytics are its intuitive and user-friendly interface, reporting output and scheduling, access control and security, and mobile capabilities.
The collaborative features of Software AG ARIS Process Mining help with cross-department synergy because users don't need to download files and send them over email, waiting for replies to accommodate changes.
| Product | Mindshare (%) |
|---|---|
| IBM Planning Analytics | 4.4% |
| Software AG ARIS Process Mining | 2.4% |
| Other | 93.2% |


| Company Size | Count |
|---|---|
| Small Business | 16 |
| Midsize Enterprise | 4 |
| Large Enterprise | 15 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 2 |
| Large Enterprise | 4 |
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.
Software AG ARIS Process Mining offers robust tools for process discovery, conformance checking, and business process optimization, focusing on enhancing cross-department collaboration and facilitating change management.
ARIS Process Mining by Software AG is designed for businesses aiming to refine business architecture processes and streamline engineering workflows. Users leverage its automated process discovery to map complex operations, providing a detailed and comprehensive process view. Its Conformance Engine enables detailed checking of process paths and business groups while facilitating a seamless design interface. Though its KPI and dashboard customization is noted to need improvement and the automation features could benefit from AI enhancements, it still provides unique capabilities for process modeling and enhancing cross-department collaboration. The cloud version's integration speed could be a limitation when connecting through specific tools.
What are the key features of Software AG ARIS Process Mining?Industries utilize ARIS Process Mining for diverse applications including process modeling in central portals, managing order and cash flow in gas companies, and simulating business processes. Users explore its features for comparisons and apply its capabilities to advance business architecture, capitalize on process discovery benefits, and optimize enterprise workflows.
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