Advanced Course on SAP IBP (Integrated Business Planning)

Explore versions in IBP, including upside, downside, and version-specific master data, to test scenarios, compare forecast accuracy, and promote key figures to the baseline.

Delete master data in Excel by selecting the item in the master data pane, choosing the target unit of measure, and confirming delete and continue, then refresh to verify.

Learn how planning objects link product data to key figures across planning levels in ibp, including updates visible in the managed planning objects app and excel view.

Create a forecast accuracy key figure to measure deviation between actual sales and forecast, using one minus the absolute deviation over actual, at week and month product levels.

Create a calculated key figure in SAP IBP to display sales history before the current period and consensus demand for future periods, enabling planners to view one figure.

Create alert key figures in SAP IBP by comparing test cvdpv1 and consensus demand, then mark months where the difference exceeds 100 with a red color.

Learn to use lag based snapshots in SAP IBP to store and compare monthly forecasts across lags (lag zero, one, two) with the lag based snapshot operator.

Explore how the snapshot operator copies the consensus demand to snapshot key figures in SAP IBP, and troubleshoot why values appear for only a few months.

Learn to invoke SAP IBP charts in Excel by installing and enabling the Excel add-in, adding trusted locations, and plotting actual and forecast quantities with a line chart.

Identify outliers with the interquartile range method by calculating Q1 and Q3, set limits at 1.5 times IQR, and substitute with mean or tolerance in SAP IBP forecasts.

Learn how the level shift option in IVP outlier cleansing detects shifts, segments data to compute local means and deviations, and corrects outliers using the segment mean and tolerance.

Learn to build a forecast model in IBP using a simple moving average, configuring a 3-month window, 12-month history, and extending calculations to future periods.

Explore how SAP IBP enables integrated business planning with a single operating plan and real-time, cross-functional collaboration across demand, supply, inventory, and finance to orchestrate agile, enterprise-wide planning.

Unify business planning with IBP by blending bottom-up and top-down insights to align demand, supply, and inventory through a consensus forecast, SNOP, and a control tower powered by SAP HANA.

Explore how IBP architecture integrates statistical forecasting with human insight to produce a consensus demand forecast and drive supply and inventory planning.

Unify demand, supply, and finance planning on a single operating plan with IVP, enabling what-if analyses, real-time analytics, and Excel integration on SAP S4 HANA.

Explore how IVP unifies demand, supply, and finance planning with what-if analysis, real-time analytics, unified data model, and a single operating plan, enabling cross-department collaboration and flexible decision making.

Explore the IBP reporting interface, which offers an intuitive, Excel-like experience along with web-based reports, query apps, and SAP Jam connected to social platforms for operations, communication, and MIS reporting.

Explore the four pillars of supply chain—design, plan, procure, and manufacture—and see how SAP IBP links design to execution with demand planning, statistical forecasting, MPS, and end-to-end visibility.

Compare MTO and MTS strategies, highlighting customization and specialization for MTO versus standardized products for MTS, and differences in demand patterns, lead times, suppliers, resources, and pricing.

Explore SAP's design-to-operate framework, linking design, plan, manufacture, deliver, and operate across the end-to-end supply chain. Examine IPP and tools like digital cloud manufacturing and S4HANA balance demand with capacity.