This article explores the concept of using Enterprise Performance Management—EPM—to drive big data use cases, primarily focused on integrated strategic, financial, and operational reporting, and analytic capabilities. These big data use cases demonstrate both the business and technical value necessary to justify investments in big data platforms such as SAP HANA.
Reading this article, you will learn about how an integrated Enterprise Performance Management (EPM) paradigm drives big data use cases, including:
- Expediting financial-close processes by enabling real-time planning, forecasting, and consolidations
- Real-time integration of a company’s strategic, financial, and operational information
- Real-time customer and product profitability
- Real-time customer relationship management to achieve a single view of the customer
- Real-time predictive analytic capabilities
Enterprise Performance Management (EPM) can be a very confusing discipline with many names, including Corporate Performance Management (CPM), Business Performance Management (BPM), and Total Performance Management (TPM). For the purposes of this article, EPM can best be described as the integration of enterprise strategy, finance and operations domains, and disciplines to enable closed loop and actionable decision-making capabilities within an organization.
Enterprise Performance Management (EPM) means different things to different people in different industries. To whom you speak can also greatly influence this perspective. If you speak with someone from the Business Intelligence (BI) world, they will tell you it’s just BI. If you speak to someone from the Budgeting and Planning area, to them EPM is mainly budgeting and planning. Similarly, someone from Personnel would say its human capital management. The reality is that EPM encompasses those disciplines and many more. A short list of EPM subjects would easily include any or all of the following shown in Figure 1.
EPM definitions by discipline