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.
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.
We monitor all Business Performance Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.