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.
The mining feature allows you to identify the bottlenecks easily, and the simulation feature integrates the ROI.
Instead, we rely on third-party partners recognized by IBM, who provide cost-effective 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.
Technical support for Software AG ARIS Process Mining is good.
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.
For scalability, Software AG ARIS Process Mining is fine; not perfect, but it's scalable.
A stable platform prevents loss of time during this process.
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.
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.
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.
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 | Market Share (%) |
---|---|
IBM Planning Analytics | 6.3% |
Software AG ARIS Process Mining | 1.2% |
Other | 92.5% |
Company Size | Count |
---|---|
Small Business | 16 |
Midsize Enterprise | 4 |
Large Enterprise | 7 |
Company Size | Count |
---|---|
Small Business | 3 |
Midsize Enterprise | 2 |
Large Enterprise | 4 |
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.
Increasing digital products and services, new business models, challenger brands and competitors emerging virtually overnight—all are forever changing your market. To survive, your company—no matter its size or industry—must rethink your business models and processes. Problem is, with so many players and parts to your enterprise, where should you begin? How can you see where to optimize processes to improve the customer experience or operational efficiency? Should you rethink distribution of resources, or start first with improving processes for a specific region or product?
Find your answers with ARIS Process Mining at Software AG. With a 360-degree view of your processes, you’ll gain intelligent insights into your processes and their dependencies to find patterns, anomalies and opportunities for improvement. Compare processes in theory to processes as they are in the real world. See if processes execute as designed. This gives you a solid basis for making process improvement decisions. You can evaluate changes before making them to avoid added costs later on—and you can simulate and analyze process scenarios so you know the best way to improve them.
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