Oracle Planning and Budgeting Cloud and Software AG ARIS Process Mining compete in financial planning and process optimization. Oracle holds an edge in pricing and support, while Software AG leads with its feature strengths.
Features: Oracle Planning and Budgeting Cloud offers comprehensive financial forecasting, real-time collaboration, and extensive analytics. Software AG ARIS Process Mining provides end-to-end process analysis, performance insights, and data visualization-driven improvement suggestions.
Room for Improvement: Oracle Planning and Budgeting Cloud could benefit from enhanced user interface customization, more flexible deployment options, and improved integration with non-Oracle systems. Software AG ARIS Process Mining might improve in reducing integration complexity, offering more out-of-the-box connectors, and enhancing cloud deployment consistency.
Ease of Deployment and Customer Service: Oracle Planning and Budgeting Cloud features a streamlined cloud-based deployment with strong financial security and onboarding support. Software AG ARIS Process Mining requires more complex integration but offers robust consultation for effective implementation.
Pricing and ROI: Oracle Planning and Budgeting Cloud is cost-effective with predictable ROI appealing to budget-conscious users. Software AG ARIS Process Mining involves higher initial costs but offers significant ROI through process efficiencies and savings over time.
Oracle Planning and Budgeting Cloud Service enables organizations of all sizes to drive accurate, connected plans across your business and be prepared for what's next. Navigate uncertainty with scenario modeling. Leverage built-in best practices and predictive intelligence across finance, line of business, and operations.
· Create decision-oriented plans: Make better decisions by creating goal-oriented, driver-based plans. Get immediate insight to your performance with interactive dashboards and reports and leverage predictive planning to recommend the best path forward.
· Connect your business: Connect every part of your business with a plan that is fully integrated across finance, operations, and lines of business. With connected planning, you can immediately analyze the impact of changes across your business.
· Do freeform modeling at scale: With Oracle Cloud EPM Freeform, model multiple complex financial and operational what-if scenarios with large-scale, freeform ad-hoc modeling. Use predictive planning features to validate assumptions and reduce the risk in your decisions.
· Apply sophisticated financial intelligence: Leverage financial intelligence and other powerful, built-in features to rapidly model multiple scenarios to quickly deal with change.
· Support your decisions with Monte Carlo simulations: Use Monte Carlo simulations to determine the likelihood of various scenarios, giving you confidence in your decisions.
· Align strategy with plans: Understand the impact of strategic decisions across your bottom line, balance sheet, cash flow, and shareholder value before pushing to your operational plan.
· Optimize capital structure: Model different funding options and understand the impact your strategies will have on your credit rating and capital structure.
· Plan for compensation expenses: Plan compensation-related expenses by employee, job code, or at a level of detail that makes sense for your business using out-of-the-box, driver-based planning.
· Align finance and HR: Build the workforce you need to execute on your strategic goals. Collaborate more with HR with prebuilt integration to Oracle Cloud Human Capital Management (HCM) and integration with other third-party cloud HCM solutions.
· Leverage wizard-based planning for ease of use: Maintain complex employee expense calculations, such as benefits, tax expense, and others with easy-to-use planning wizards.
· Track the full lifecycle of capital investment: Create cashflow and funding plans for investments and leased assets. Also plan for new capital assets and take advantage of out-of-the-box calculations for depreciation and amortization during the lifespan of the asset.
· Plan asset-related expenses: Easily model asset-related expenses such as repairs and insurance. Automate processes such as retirements, transfers, and improvements.
· Plan for intangible assets: Plan for new and existing intangible assets, including amortization and cash flow planning and impairments.
· Review your capital expenses: Get an overall capital expense spending analysis, including asset summary reports, and actual versus plan variances. See the impact on cash flow, balance sheet, and income statement by asset class and business unit.
· Model all project types: Use out-of-the-box drivers to plan costs related to both short- and long-term projects. These include internal projects, such as IT, R&D, marketing campaigns, and contract-based projects or projects across more complex project-oriented industries, such as construction, engineering, and professional services.
· Plan detailed project costs and revenues: Understand the financial impact of your projects. Use drivers that help you plan for individual employee and asset-related costs, as well as expected revenues.
· Track project performance: Use prebuilt metrics to track project revenue, expenses, and cash flow. Leverage performance indicators such as net present value, payback, and return on investment.
· Optimize your revenue plan: Accurately plan revenue, sales, and gross margin by adding dimensions for specific drivers related to your business.
· Plan for all expenses: Plan for all of your expenses with prebuilt best-practice expense drivers. Include expenses from workforce and capital planning with prebuilt integration.
· Analyze the balance sheet: See the full picture by integrating balance sheets fully with income statements and cash flow. Configure for industry-specific requirements.
· Model your cash flow: Model cash from operations with fully integrated cash flow planning for short, medium, and long-term time horizons.
· Connect you planning, execution, finance and operations: Transform plans into execution and monitor activity to detect unexpected events using IoT, AI and prescriptive analytics. Simulate and evaluate alternative response to maintain or improve business targets.
· Reduce decision latency: Leverage real-time planning and execution details to act on negative trends faster and more effectively.
· Consolidated view across the entire process: Improve your short and long range strategic planning by seamlessly integrating planning and execution in to a single data model.
IPM applies data science and machine learning to enable finance professionals to be more data driven, impacting key areas of the business, and take advantage of potential missed opportunities.
· Improve decisions with predictive planning: Identify and leverage patterns in your financial and operational data to improve accuracy. Run predictions on the latest actuals and factor those into your plans for more timely, objective decisions.
· Speed up data analysis to take faster action with Insights: Use embedded AI and machine learning (ML) to continually monitor your plans, forecasts, and variances, so you’ll be alerted about any anomalies, biases—as well as hidden correlations. Relevant insights now come straight to you, empowering you to take the right action in time.
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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