Enabling Budget Resilience with Scenario Planning Tools from Phocas

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  1. Streamlining Inventory Management: A Case Study on BHS Corrugated’s Industry 4.0 Transformation

    Faced with challenges of excessive stock levels and inadequate transparency, the company embarked on a digitalization initiative leveraging Industry 4.0 principles with ifm Supply Chain.

  2. 3 Ways to Handle Compensation Budget Imbalances Caused by Org Moves

    Learn the pros and cons of options for budget reallocation – manual and automatic – when you cannot postpone the movement of staff during a compensation planning period. Key Concept For many organizations, the compensation planning period is aligned with the end or beginning of their fiscal year. This is a time when many transfers,...…

  3. Step-by-Step Statistical Forecasting Using SAP APO

    ManagementLearn a 15-step methodology for executing forecasting projects in SAP Advanced Planning and Optimization. Understand the most common methods of statistical analysis. Learn best practices for implementing these methods in practice. Key Concept Forecast strategies are used in SAP Advanced Planning and Optimization to decide how forecast values are calculated. Selecting a method depends on...…

  4. SAP Compensation Administration Application Supports a Total Compensation Strategy

    The Compensation Administration (CA) application in R/3 is designed to link employee performance with company goals. In this first article in a series, the author explains how to prepare for a CA implementation. Using the example of a management incentive plan, she shows how to budget for a compensation/award plan. Over the past decade, the...…

  5. Improve Forecast Accuracy by Measuring Forecasting Errors

    Learn how implementing Business Add-In (BAdI) /SAPAPO/SDP_FCST4 enables you to store the results of each forecast run in the system along with the forecasting errors. Analysis of these errors helps you to improve the forecast results and thereby improve the forecast accuracy. Key Concept SAP Advanced Planner and Optimizer (APO) Demand Planning has an SAP...…

  6. Accurately Predict your Procurement or Production Needs with an ERP Forecasting Tool

    Forecasting in SAP ERP is one of the lesser-used planning tools that can help predict your procurement and production requirements effectively. While advanced planning tools such as SAP Advanced Planning & Optimization (APO) can certainly bring greater business process optimization to the company, using this forecasting tool helps a company get a better return on...…

  7. Lessons Learned in Implementing SAP Enterprise Compensation Management

    Become familiar with SAP Enterprise Compensation Management (PA-EC). Take away tips about how to optimize annual merit plans, variable pay plans, budget reconciliation, approval processing, promotions, and lump sums. Consider how EC affects your other modules. Key Concept SAP Enterprise Compensation Management (PA-EC) is not an add-on to the Compensation Management (PA-CM) module in SAP...…

  8. Introduce Budget Availability Control into Cost Center Accounting

    Learn how you can configure budget availability control for your Cost Centers with simple customizing steps. Key Concept Budget availability control in the managerial accounting (CO) and Project System (PS) modules is a standard SAP functionality that automates budget control through warnings and error messages. It also can send notification emails automatically to respective budget...…

  9. Advanced Demand Planning with S&OP and SAP HANA

    Learn how to meet the challenges of integrating SAP Advanced Planning and Optimization (APO) statistical forecasting with SAP Sales and Operations Planning (S&OP) and SAP HANA. Key Concept SAP Sales and Operations Planning (S&OP) is a solution powered by SAP HANA that supports an organization’s end-to-end sales and operations planning business process. In SAP S&OP,...…

  10. 5 Reasons Why the Quality of Your Statistical Forecasts Can Deteriorate

    Learn why the quality of your statistical forecasts can deteriorate and ways to prevent the deterioration from occurring again. Key Concept Historical data is used in statistical forecasting to identify patterns, trends, and seasonality. Those factors are then used to effectively predict future demand. This can be achieved by using the appropriate forecast methods or...…